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Complete guide: How to pick the right Java full stack development course

Posted on by Imarticus Learning

Are you aspiring to become a software developer and are drawn towards the vast possibilities of Java Full Stack development? Are you looking for guidance on selecting the best course or training program to be successful in this field? 

It is crucial to equip yourself with the right skillsets before embarking on such a technical journey. With so many choices, choosing the most suitable full stack development course requires careful consideration. 

This guide will discuss finding an appropriate Java full stack development course that aligns perfectly with your requirements and goals.

Get Ahead of the Competition with These Skills

  • Front-End Development Skills 

The front end is what your users see when they visit your website or application. An excellent full stack Java development course should include instruction on basic front-end development techniques such as HTML, CSS, JavaScript, and jQuery. 

  • Back End Development Skills 

The back end is the “behind-the-scenes” part of a website or application, where most logic and data processing occurs. A comprehensive full stack Java development course should include instruction on back-end technologies such as MySQL, Spring Boot, Hibernate, JPA, JDBC, REST APIs, Servlets, and more. 

  • Testing & Debugging Skills 

Debugging errors is an integral part of software development; without proper debugging tools, mistakes can quickly go unnoticed until after the software has been released—which could have disastrous consequences for both users and developers alike! 

How to find an appropriate Java full stack development course?

Step 1: Determine Your Goals and Needs 

Before you begin searching for a full-stack development course, you must first determine your goals and needs. What do you want to learn? Are there specific skills or technologies that you would like to master? Knowing this information will help you narrow your search and make it easier to find the perfect course. 

Step 2: Research Different Courses 

Once you have determined your goals and needs, it’s time to start researching different courses. Look at reviews from past students, and study each course’s curriculum in detail. Ensure the course covers all essential topics, such as databases, front-end web frameworks, server-side programming languages, etc. Additionally, consider whether or not the course offers hands-on experience with coding projects or tutorials. 

Step 3: Consider Cost & Time Commitment 

When looking for a full stack Java development course, cost and time commitment are essential factors you should consider. Before enrolling in any course, carefully read its terms and conditions, so you know what you will be paying for and how long the course will last. It’s also a good idea to compare prices between different courses to find one that fits within your budget.  

 Step 4: Enroll & Get Started! 

Once you have researched and chosen a full stack Java development course that meets all your needs, it’s time to enroll and get started! Be sure to set aside enough time each day or week for studying to stay on track with your studies. With dedication and hard work, there is no limit to what you can achieve!  

With so many full stack development courses available today, knowing which is right for you can be challenging. Following these four steps, you can find a perfect full-stack Java development course suited to your needs and goals! 

Learn Java full stack development course with Imarticus Learning.

Through our Full Stack Developer online course, students will learn database architecture and algorithms. During this six-month full stack developer certification, learners will learn data structure algorithms and the technical facets of front-end and back-end programming.

 Course Benefits for Learners:

  • Establish a solid foundation in data structures while learning popular tools like Java, Spring, MongoDB, JavaScript, React, Docker, and Jenkins.
  • Our FSD Pro course provides learners with a solid foundation to build their professional success.
  • FSD Pro is the perfect program for tech lovers looking to get a foot in the door of the IT industry.
  • With tailored learning experiences, an interactive curriculum, and career services dedicated to helping you find full-stack developer jobs, this course offers everything needed for success – including job interviews guarantees!

 Visit our training centers in Mumbai, Thane, Chennai, Bengaluru, Gurgaon, Pune, Delhi, or Ahmedabad, or contact us via the chat support system.

How to prepare to get job interviews at top companies while completing your cyber security course

Posted on by Imarticus Learning

Are you a student pursuing your degree in Cyber Security and looking to secure a job at one of the top companies in the field? Landing that dream job takes more than luck – it requires meaningful effort, strategic planning, and proper preparation. 

Luckily, we have put together an all-inclusive guide on preparing yourself to be placed at some of the best cybersecurity companies. Throughout this post, we will discuss what skills and qualities employers seek when hiring graduates from technical fields like cybersecurity. 

We will also provide valuable insight into getting your foot into these competitive doors. So read on if you want to increase your chances of success!

Understand the cyber security industry

Get familiar with the cyber security industry and its evolving trends, tools, techniques, and products. Doing this, you will better understand the skills employers value and which ones you should concentrate on acquiring. You should also take time to research various cybersecurity companies and their hiring processes so that you can tailor your resume/CV and job applications to better align with their requirements.

Identify your skills and strengths.

Be ready to showcase them when the time comes. It could be anything from coding to problem-solving and reverse engineering, so ensure you understand your skill set well. Don’t forget to focus on certifications! Having relevant industry certifications that show off your knowledge can help boost your CV and attract potential employers.

Research potential employers and their needs

Finding a job can be overwhelming, but you should always begin by researching potential employers. This will help you establish their specific needs and how you can make yourself attractive to the company. Consider their history, values, culture, products or services, and brand identity to ensure they fit your skillset well. 

Prepare a resume that is tailored to the company’s needs

Create a resume that showcases your most relevant experience and shows off your technical abilities. If you’re new to the field, highlight any skills transferable to cyber security. Update your LinkedIn profile so potential employers can easily find you. Make sure it includes the same information as your resume, but add some details showing your skills and expertise in the field.

Stay up-to-date on trends and news in the cybersecurity industry

Keep up with industry trends by subscribing to relevant publications and joining online forums. Connect with people who work in the cyber security industry and build relationships with them. Make sure you have a portfolio of work to show potential employers — this can help set you apart from other applicants. Consider setting up a website or online profile that showcases your accomplishments and skills. Finally, work on improving your communication skills. 

Cyber security is a rapidly changing field that requires you to stay ahead of the curve and be able to explain complex concepts in simple terms. Strong verbal and written communication skills will help you get placed at top companies.

To succeed in cyber security, staying up-to-date on industry trends and honing your technical abilities is crucial. By researching potential employers, preparing for assessment tests, and updating your resume and portfolio, you will be well-positioned to get placed at top companies when you complete your cyber security course. 

Explore a career in cybersecurity with Imarticus Learning

Want to become a master of digital defense? Then an online cyber security analyst course can give you the skills needed for success in today’s tech-savvy world! Learn ethical hacking and join the ranks of professionals working as penetration testers, experts, analysts, incident handlers, or SOC Team members. It’s your ticket to cyber security stardom!

 Course Benefits For Learners:

  • This cyber security course with placement is the perfect way to prep for a career in ethical hacking and penetration testing! 
  • Our instructors will help you become a cybersecurity analyst by providing rigorous SOC team training and teaching essential problem-solving techniques, arming you with the knowledge to dominate cyber threats!
  • This cyber security training will cover the fundamentals of security practices, techniques, tools, and tactics, which come with a job interview guarantee.

Visit our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad, or get in touch with us via chat support.

Why learn how to code? The path to a job in cloud computing is through Alexa Skills.

Posted on by Imarticus Learning

You may wonder how to leap from programming novice to cloud computing expert. The truth is, you don’t have to become a professional coder overnight. With the help of modern cloud-based services such as Amazon Alexa Skills, it’s much easier than you think. 

 

In this blog post, we’ll take an in-depth look at just one way that you can get into coding for the Cloud – with Amazon Alexa skill development! 

You’ll learn about key concepts like databases and API integration, techniques for successful use cases, and strategies for improving your code. Understanding these principles and recognizing how they fit into Cloud infrastructure can open up new opportunities for yourself as a programmer. 

So let’s get started on our journey!

What is Cloud Computing? 

Before exploring why learning how to code for Alexa Skills is essential, let’s first discuss what Cloud computing is. Simply put, cloud computing delivers services over the internet that previously required physical hardware or software installations onsite. This also includes storing files online through a service like Dropbox or Google Drive to using web-based programs like email instead of locally installed software. 

What are Alexa Skills? 

Alexa Skills are voice commands that allow users to interact with Amazon Echo devices like Amazon Echo and Dot. These voice commands use different programming languages, such as Python, Java, Node.js, and C#. So by learning how to code these voice commands, you will be able to build your applications for Alexa-enabled devices, which they can then use on any of these devices. 

Learning how to code with Alexa Skills has multiple benefits:

  •  Coding with Alexa Skills allows you to create interactive and user-friendly applications – something traditional coding cannot always accomplish. 
  • Learning how to code with Alexa Skills gives you an edge when applying for different jobs in cloud computing since many companies are now using voice technology as part of their customer service offerings or other online products. 
  • Finally, learning how to code with Alexa Skills allows you to learn new coding languages, such as Node.js or Python, while also gaining experience in developing web applications and creating user experiences that you can apply across different platforms and devices. 

The Road to Cloud Computing: Learn How to Code for Alexa Skills 

Building Alexa Skills is not an easy task. It requires a comprehensive understanding of cloud computing, coding, and web architecture. But with the right approach and resources, you can become an Alexa skill builder in no time!

A few steps to help you get started on your cloud computing journey:

  • Learn the Basics of Cloud Computing – Before diving into code, it is vital to understand cloud computing principles and practices. Start by delving into the different types of clouds, including public, private, hybrid, and edge clouds. 
  • Understand Voice User Interfaces (VUIs) – To build a practical Alexa skill, you will also need to understand how VUIs work. Get familiar with natural language processing techniques, learn about conversational voice design principles and practice developing interactive dialogues for voice-enabled applications. 
  • Test Your Skills – After you have built the skill, it is crucial to test it thoroughly. Use the Amazon Developer Console’s testing tools and beta testers to ensure that the skill functions as expected.

Follow these steps, practice regularly, and you will be an Alexa skill builder in no time! 

Explore financial technology courses with Imarticus Learning

The Blockchain certification program improves students’ understanding of fintech by offering hands-on training from robotic process automation, business experts, real-world case studies, blockchain and cloud computing projects, and crucial connections with fintech leaders and entrepreneurs.

Course Benefits For Learners:

  • Fintech has a promising future; students stay up-to-date by attending networking functions, job fairs, or webinars.
  • The students will apply the concepts covered in the online fintech training in their daily jobs.
  • The best fintech courses in India allow students to pursue their ideal career in fintech after graduation.

Visit our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad, or contact us via the chat support system.

Advantages of making a career Artificial Intelligence

Posted on by Imarticus Learning

Nearly every facet of our life now involves artificial intelligence (AI), from the workplace to retail to healthcare. Considering this, the need for students who can create, use, and manage cutting-edge AI technologies grows along with the need for AI specialists. Also, now is the best time to choose a career in artificial intelligence. Read on to know more about it.

What is artificial intelligence? 

Before we understand the benefits of pursuing a career in artificial intelligence, let us know what exactly AI is. Artificial intelligence, a vast branch of computer science, is concerned with creating intelligent machines that are capable of performing activities that typically require human intelligence. The multilayered science of artificial intelligence can be approached through many different angles, but developments in the domains of machine learning and deep learning are driving a huge shift in almost every sector of the computer industry.

Artificial intelligence enables machines to imitate and surpass the human mind’s capabilities. From the rise of self-driving cars to the growth of intelligent assistants like Siri and Alexa, AI is becoming increasingly pervasive in daily life. Consequently, many IT companies from diverse industries are investing in artificial intelligence technologies.

Benefits of pursuing a career in AI 

Artificial intelligence is the field of the future. Here are a few reasons to pursue a career in artificial intelligence. 

Gain more knowledge about technology 

One of the numerous reasons to make a career in this field is to improve your technical skills by comprehending the world of artificial intelligence and how it applies to your business and employment role or the job of your dreams. AI is the perfect field for you if you have a knack for technology and programming. It will allow you to explore various parts of technology and data. 

Make an impact 

AI has affected every part of our life. And, it continues to do so as we speak. Whether it is a student studying for his/her exams or executives with an MBA degree doing a business deal, AI is involved in everybody’s lives. By pursuing a career in AI, you will be able to alter the lives of numerous people. With artificial intelligence, you can create technologies that will help you impact various sectors such as education, healthcare and transportation. With the use of AI, the entire trajectory of these fields can be changed.

Increase your chances of employment 

AI has been and continues to replace many job roles that humans do. However, it is also creating double the job roles in significant sectors. AI promises several career opportunities. It is needed for the successful functioning of every industry. All companies are searching for AI specialists who can help increase the company’s sales. If you pursue a career in AI, then you can work in various job roles, which are incredibly high paying. 

Jobs in AI 

If you are looking forward to pursuing a career in AI, then there are several job roles that you can aim for. Some of them are: 

Machine learning engineer

ML engineering is a field that combines data scientists with software engineers. They make data science models for companies that are scalable, production-ready, and able to handle terabytes of real-time data generated by the use of big data technologies and programming frameworks. Applied research, data science, and software engineering understanding are necessary for ML engineers.

Data scientist 

Data scientists collect data, analyse it, and make judgements for a number of purposes. They use a range of technological techniques, steps, and algorithms to draw information from data and identify important patterns. It could be as straightforward as identifying anomalies in time-series data or as complex as making predictions and offering counsel.

Business intelligence developer

Business intelligence (BI) developers examine intricate internal and external company data to determine trends. For example, at a company offering financial services, this could be an individual who monitors the stock market statistics to assist with investment decision-making. On the other hand, for any product company, this could be someone who looks into the sales trends to help in distribution planning.

NLP engineer

Natural language processing (NLP) experts are artificial intelligence (AI) technologists specialising in spoken and written human language. Engineers working on speech recognition, voice assistants, document processing, etc., use this technology. 

These are just a few job roles; you can also choose to become a research scientist, prominent data engineer, software engineer, data analyst or software architect as an AI specialist. 

Conclusion 

AI specialists are needed in every big company today. So, now is the best time to pursue and build a career in AI. If you want to become an AI specialist, then the Imarticus-certified PG diploma in management by BIMTECH will help you learn everything you need to know about the field. Offering dedicated career support and live training by the best faculty in the field, this course will set you up for the job market.

Everything you need to know about money markets, their instrumets and functions: Expert Edition

Posted on by Imarticus Learning

What are money markets?

An exchange market which is organised can be called a money market. Participants in this organised exchange market can lend and borrow short-term capital. That’s not all; they can also trade high-quality debt securities with an average maturity duration of one year or even less than that. It gives money to the governments and other financial institutions, such as banks and NBFCs, and likes to sell short-term securities.

This, in turn, helps fund their short-term cash flow requirements. Money markets also enable an individual investor to invest small capital in a low-risk setting. 

Functions of money markets

The money market is an integral component of a nation (as a capital entity) to stabilise its economy. It also enables the country to bring in developmental measures financially by allowing the government to liquidate their assets for the short term. And maintain the necessary cash flow required to run the country efficiently. All these are parts of money markets, and learn investment banking you need to know to make a career in this sector. 

But that is not all. The money market has many more roles to play. Some of the important functions of the money market are given below:

  • Trade Financing

The money market finances local and international traders. It provides them with the short-term funds they require. They also facilitate the discounting for bills of exchange. 

Likewise, goods and services are funded by the money market. The money market also funds other economic units like agriculture and small-scale industries.

  • Helps in Industrial Growth

Besides financing trade, the money market also provides capital for businesses of all sizes. It is an easy avenue for obtaining short-term loans to replenish working capital funds. It includes raw materials, employee payments or other miscellaneous expenses. With the help of financial bills and commercial provisions, borrowing short-term funds is part of the money market.  

Another aspect of the money market is a strange one, but it is an interesting one. The money market does not fund any long-term loans but impacts the capital market and helps the business procure long-term loans. The interest rates are benchmarked based on the prevailing interest rate in the money market.

  • Assists in making policies for the central bank

The central bank, or the RBI (Reserve Bank of India), regulates the country’s monetary policies. They give the necessary directions to the Indian banking industry to decide the interest rates against the loans in the country. 

The combined money markets also help the central bank control and influence the subsidiary markets in the country. In this way, the money market helps the central bank to perform the function of policymaking efficiently.

  • Makes commercial banks self-sufficient

The money market makes provisions for the commercial banks operating under them to invest their reserves that are in excess. It allows commercial banks to earn interest on the principal while maintaining the required liquidity. 

Bills of exchange and other short-term investments can be easily converted into cash to enable seamless customer withdrawals. They can even take short term loans when they face a shortage of funds. The money market often charges lower interest rates on short-term loans.

Instruments of money markets

For short-term lending and borrowing, the money market has several instruments. Have a look at them and try to understand their functions

These are considered to be the safest instruments in the Indian money market. The reason behind this is that they are issued with a guarantee from the Indian Government. They have a maturity period of 1, 3, 6 or 12 months.  Sold at a discount at face value, both individuals and financial institutions can purchase them. 

  • Function(s): They help in financing the central reserve’s deficits

  • Deposit certificate

Commercial banks and brokerage firms both can issue it. The maturity date spans between 3 months to 5 years. If you withdraw before the maturity period, you face a penalty. 

  • Function(s): It provides the money markets with the required liquidity

  • Bankers Acceptance

A firm may issue a short-term debt fund, but a bank needs to guarantee it. Maturity lies between 1 to 6 months. These are often used in international trade.

  • Function(s): Helps the funds to move in the international markets.  

Do you want to have an investment banker career? Why don’t you learn it from the best institute in India, Imarticus Learning? The Certified Investment Banking Professional course is one of the best in India and will teach you all about investment banking and the money market. 

Emerging Trends In Social Media Market

Posted on by Imarticus Learning

Emerging Trends In Social Media Market

Gone are the days when social media platforms were used only for establishing and maintaining relationships. The new-age marketers create a global community of like-minded people, build brand identity and increase brand awareness. Social Media is changing the way businesses communicate with existing and potential customers.

Social Media Marketing has been accepted as an essential business tool and generates revenue on its own. No wonder specialised courses are being offered by institutes of repute like IIM Raipur Leadership Program to help students and working professionals gain an advantage in the competitive stage.

But before you jump to start your social media campaign, make yourself familiar with trends. Every year, some new concept takes social media by storm and is often regarded as the trend. Understanding the top trends in social media have the potential to affect your business positively.

Here are 6 emerging trends in social media that you need to know:

Short Videos

When it comes to video content, Youtube leads the space. According to research, about 92% of marketers think it is an important section of marketing strategy. However, as the social media market is evolving, there is a shift in the trends in social media. The focus is now shifting towards short-format videos known as reels or shorts. This is specifically important if your target audience is Gen Z.

Micro-influencers and their effectiveness

Believe it or not, micro-influencers are ruling social media today. Although, influencer marketing is ruling the market, collaborating with well-known influencers can be an expensive deal. Partnering with micro-influencers helps your brand to reach out to niche-specific people within budget. This trend is quite important in the following year. This helps in creating brand awareness and ultimately increasing sales. Important skills to understand such techniques are imparted at the IIM Raipur Leadership Program. Their course materials always cover the latest and practical ideas.

Personalised ads on Social Media

Have you ever wondered why you keep seeing a specific ad over and over? Well, paid advertising can be the answer. Most businesses are now moving to paid advertising to keep up with the rising trends in social media. These ads can be in video or graphic format. Relevant paid ads on social platforms are extremely effective in reaching their business goals according to Hootsuite. However, the market is already quite competitive. You will need to be a little creative in creating ads to ensure visibility and conversion rate.

Push Notifications

Push notifications are an excellent choice when it comes to promoting a product or sale. It helps you to connect with your target audience instantly and in a powerful and precise manner. Additionally, it also helps in retaining your customers by providing inspiring and educational information. According to a survey, push notifications have a higher open rate than email. The comprehensive courses in IIM Raipur Leadership Program help you understand how to utilise these trends for maximum benefit.

Voice Search

Voice search helps users to inquire about any products or services through speech. This is a popular trend regardless of the age group. With the help of advanced artificial intelligence technology, it helps local businesses to reach their potential customers.

Some of the common examples of voice search engines can be seen in Google Assistant, Alexa, and Siri.

Memes are the King

Memes, yes you read it right! Memes are the most creative and humorous way to connect with your audience. It is hard to find a person who doesn’t like memes. All you need to do is add some creativity that fits your context and your meme is ready.

When it comes to brand promotion, creating niche-specific memes is an excellent way to easily connect with your audience. It specifically helps to promote your brand without losing the fun element. Memes have been trending for quite a while. It will still be a popular trend in social media in 2023.

At the end of the day, you must realise that social media is a dynamic and competitive space. Some trends might have worked before, but it doesn’t guarantee they will have similar results. Hence, it is important to keep an eye on the buzz. With the help of programs like the IIM Raipur Leadership Program, you can be abreast with emerging trends in social media. Specially designed for working professionals with over five years of experience, this 10-month program offers a comprehensive understanding of marketing. It helps you understand how to use such tools and trends to amplify your career and improve your company’s bottom line.

So, are you ready to lead the digital marketing space with the help of the IIM Raipur Leadership Program?

Supervised Learning: Definitions and concepts you need to know

Posted on by Imarticus Learning

In recent years, artificial intelligence (AI) and machine learning (ML) have gained immense popularity and are expanding their horizons rapidly. It is said that technologies driven by ML and AI are yet to show their true potential. Hence, companies from every sector are adopting AI and ML and trying to integrate various powerful technologies. This is why, the future of artificial intelligence and machine learning is quite promising.

One of the subfields of artificial intelligence and machine learning is supervised learning. To learn and understand more about this sub-area, one can get enrolled in online artificial intelligence and machine learning course. This will help to create a vivid understanding of supervised learning. Subsequently, an individual can commence a successful and lucrative career in supervised learning.

What do you mean by supervised learning?

Supervised learning is one of the promptly growing sub-arenas of artificial intelligence and machine learning. This branch deals with issues faced in the real world. It also has the potential to solve these problems. Notably, problems like the segregation of spam mail and messages can be easily done with the help of this amusing technology. Supervised learning consists of various datasets and algorithms that can predict the results automatically.

If an individual is willing to commence a career in supervised learning, then he/she must have detailed knowledge about it. For this, one can opt for online supervised learning training. This will help you to bag lucrative job offers.

How does supervised learning function?

Supervised learning acts on the training set. This dataset trains a model for the desired output which is later yielded by the model. A training dataset mainly consists of various inputs and correct outputs. This procedure assists the machine or model to comprehend real-life problems over sufficient time. The training dataset adjusts all the errors until it is minimised and accurate. 

Supervised learning segregates problem detection into two distinct categories. And, they are:

Classification

Classification can assign tested data to accurate categories with the assistance of an algorithm. It traces, defines, and labels different data entries within the dataset of the model. The few most commonly used classification algorithms are k-nearest neighbour, linear classifiers, decision trees, random forests, and support vector machines (SVM). These algorithms are user-friendly and easy to use. 

Regression

Regression is used to comprehend the link between dependent and independent variables. It is usually used to create projections or statistics. Some of the most used regression algorithms are logistical regression, linear regression, and polynomial regression.

What are the various algorithms of supervised learning?

Supervised learning has various types of algorithms. And, these have been precisely discussed below:

K-nearest Neighbour

KKN is also known as k-nearest neighbour. This segregates data points with the help of proximity to other data. This algorithm tends to assume that the same data points can be located exactly near each other. So, it calculates the distance between two data points with the assistance of Euclidean distance.

Random Forest

One of the most famous and flexible supervised learning algorithms is Random Forest. It can be used for classification as well as regression. Initially, it obtains all the unrelated decision trees and unifies them together to obtain more precise data projections  

Support Vector Machine (SVM)

One of the most popular supervised learning models is Support Vector Machine (SVM). This was created by Vladimir Vapnik and can be used for regression as well as classification. This model creates a hyperplane, where distance is maximised between two classes of data points. This hyperplane is also known as the decision boundary.

Logistic Regression

Logistic regression is generally used when there is a binary or dual output like ‘yes’ and ‘no’. This regression model is built to comprehend the bond between the inputs. However, the main task of Logistic Regression is to resolve problems like spam identification.

Linear Regression

The main task of Linear Regression is to find the link between a dependent variable and independent variables. It is also responsible for foreseeing future results. There are two kinds of Linear Regression, namely Multiple Linear Regression and Simple Linear Regression. For an instance, when there is only one dependent variable and one independent variable, it is known as Simple Linear Regression. However, when there is more than one independent variable, it is referred to as Multiple Linear Regression. The method of least squares is used to plot the line of best fit for different linear regressions. 

Conclusion 

Imarticus Learning is offering an IIT artificial intelligence course that covers the entire portion of supervised learning. This is an online course that is led by experienced instructors. The course will open many lucrative job opportunities for those who want to commence a career in this domain. Thus, without any delay, get yourself enrolled in this online course. 

A quick guide to understanding neural networks and their applications

Posted on by Imarticus Learning

Introduction

We have been hearing about AI everywhere and how it will replace humans in many sectors.

But do we really know what it is? And, how is it going to affect the human race?

Nowadays, AI is a commonly used terminology in analytics. It is often used in neural networks or artificial neural networks. Especially, if you are looking to build a career in data analytics.

An algorithm called a neural network allows a computer to learn from observational data. Computing neural networks are modelled on how the biological nervous system processes information.

Interconnected neurons with input-receiving dendrites make up biological neural networks. They generate an output based on these inputs and send it to another neuron through an axon.

History of AI

Let’s dive deeper into the history of AI and how it evolved to have a better understanding of it.

Since the 1950s, researchers have been working to create smarter and better robots. To do this, they mimic how neurons function.

Humans ultimately succeeded in building such a computer. A computer that could identify human speech, after much trial and error. Only after the year 2000 were people able to achieve deep learning. It is a branch of AI that can recognize and differentiate between different images and movies.

Deep Learning: Do we know what it is?

Deep learning is a subset of machine learning. It enables computers to learn from examples as people do.

Instead of hardwiring a computer programme to detect and learn, machines are educated using images as examples. You have control over the factors that feed into it, not how it knows. The computer recognizes the object based on the previous input photographs.

Any system using deep learning is powered by a synthetic version of a biological neuron.

Origin of the term “Neural Network”

After learning the history of AI, let’s dive into the origin of the term ‘Neural Network’.

The earliest prototype of an artificial neural network was created by logician Walter Pitts and neuroscientist Warren S. McCulloch. Their work is where the word ‘neural network’ originated. They discussed the idea of a neuron in their work. A neural network is a single cell that is part of a network of cells and takes inputs, evaluates them, and produces an output.

Functions of Neural Networks 

Neural networks can carry out the following tasks.

Text translation.

Recognize faces.

Identify speech.

Identify text written by hand.

Command robots.

These are just a few examples, but neural networks can perform many more functions.

Types of Neural Networks

We have talked a lot about the history and origin. Now, let’s see the types of Neural Networks.

Multi-layer perceptron

The neural network employs a nonlinear activation function and a multi-dimensional perceptron. The multi-dimensional perceptron might have three or more layers.

Convolutional Neural Network

This neural network employs a variant of complex perceptrons and the convolutional neural network.

Recursive Neural Network

It uses weights to produce structured predictions.

Recurrent Neural Network

A recurrent neural network is the fourth one. It links neurons in a specifically directed cycle.

LSTM neural network

LSTM neural network utilizes the recurrent neural network design. This long short-term memory neural network lacks an activation function.

Sequence-To-Sequence Models

The last two modules create a vector space from a large amount of text. It uses two recurrent networks and shallow neural networks.

How do the neural networks work and are put to use?

As discussed earlier, the purpose of neural networks is to find patterns in data. Clustering, classification, and prediction are used to separate these patterns. These all address specific issues that apply to various fields. The fields include marketing, sales, security, and finance.

Neural networks are used for a variety of tasks. It includes facial recognition software to apprehend criminals and daily stock market forecasting.

These networks can be leveraged for marketing objectives. They can be used for chatbots, target marketing, and market segmentation.

Neural networks will be used in biomedical systems in the upcoming years. They will be used to track down diseases. Or even to determine the probability of a person having a particular genetic characteristic or anomaly.

Conclusion 

Artificial neural networks come in a variety of forms and functions to yield astounding outcomes. The neural networks are constructed similar to how brain neurons function. It is their most crucial feature.

Consequently, they are built to acquire more knowledge and make decisions in a human-like manner. Thus, neural networks can actually deliver better results. It contrasts typical machine learning algorithms which seem to stop after a certain point.

Data science is used in the real world and creates prediction models to improve business outcomes. This ensured placement program is appropriate for professionals and recent graduates. Anyone who wants to pursue a career in data analytics and science can pursue this degree.

Get in touch with us via chat support for building a data science career. You can also visit our training facilities in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad.

Machine learning tools that data scientists must learn in 2023

Posted on by Imarticus Learning

Machine Learning is an inseparable part of Data science these days. With the advancement in software development in AI and ML, several advanced and cutting-edge Machine Learning tools have been introduced in the market. 

corporate leadership

Due to popular demand, these tools have become easier to access, and every data scientist should avail of this wonderful opportunity. If you are a data scientist pursuing a PG in data analytics, it is even more important that you learn how to use these tools. Learning these tools will also be advantageous for your curricular studies, and you can upgrade your skills. 

Top 8 Machine Learning Tools Every Data Scientist Must Learn

And now, let me share about each of them in greater detail!

  1. Python

Python is a widely used programming language and a useful tool in data science to analyse data. It can also be repurposed for machine learning and deep learning. The syntax is also quite easy, and the programming language has rich libraries. 

The community is also very active and responds quickly in case you have an issue. There are also regular boot camps for Python in India. There are many resources where you can learn Python. You can take an online course or read a book to learn the tricks. 

  1. NumPy

It is an acronym for Numerical Python. It gives support for multi-dimensional arrays and matrices. This Python library uses C/C++ for its development. The biggest advantage of using NumPy is that it provides all the necessary mathematical support for ML. 

It also uses less memory and has a faster performance when compared to other libraries. It is truly an asset for Data Scientists who use machine learning for projects like random password generators, statistical analysis, calculators or video games.

  1. Pandas

It is a data analysis and manipulation library built over the NumPy package’s architecture. It helps to handle tabular data. Pandas are quite flexible, as they can be used with other tools as well. You can effectively use it to build a recommendation system like Netflix or Python. You can also make prediction systems for stocks and neuroscience from this package.

  1. Scikit 

It is an open-source ML library for Python. It is built over the architecture of NumPy, SciPy and Matplotlib. Since it is accessible and reusable, it has great flexibility. It can be used for training and testing models using classification, clustering and regression algorithms. 

Apart from making prediction analysis, recommendations systems and automation, it can also be used to develop evaluation and matchmaking systems.

  1. Matplotlib

It helps in data visualisation and graphical plotting and is a wonderful OOPs tool that helps make embeddable plotting APIs. Since it can be used cross-platform, it can be integrated with third-party apps. It includes LaTex to develop neuroscience apps, stock price evaluation systems and also for game development.

  1. R Programming

R is another famous tool for Data Scientists who are also into machine learning. It is also a good choice of popular programming language highly regarded by statisticians or data scientists. It is also useful for a visual representation of data (with the help of ggplot2). 

R has many packages, making it a perfect scientific research tool. It finds many applications in the healthcare data sector and other fields that heavily use statistics. It is also best suited for data mining.

  1. TensorFlow

TensorFlow is quite a robust machine-learning tool developed by Google. As a data scientist, you can use it to build and train machine learning models in a short time. It provides a data automation platform. You can also train and monitor your models using TensorFlow. This tool is extremely useful but only when the hardware is decent enough.

  1. Hadoop 

Apache Hadoop is a collection of open-source software platforms that allows data scientists to use a whole computer network to solve Big Data and Computation problems. Hadoop provides a software framework that helps distribute the storage and improves big data processing using the MapReduce programming model. 

Now Hadoop is used to power many cloud storage apps and also powers search engines and social networks. Its community is so widespread that you have multiple resources to learn Hadoop online.

As an aspiring data scientist, it might be challenging to learn these separately. However, there is an option to learn all these tools at once. Imarticus Learning has a good data science course with placement, which covers all these important tools as a part of its curriculum. You will be taught by the best faculty and even be given a job placement after ending this course. What else could you ask for? 

Role of financial markets in the Indian Economy

Posted on by Imarticus Learning

Financial markets are an essential component of the global economy, as they facilitate the efficient allocation of resources and the efficient sharing of risk. This article will provide an overview and cover topics such as the types of markets in India, their significance, and their challenges. 

Moreover, the article will include a discussion of the government policies that have been put in place to facilitate the functioning of the financial markets in India. 

Introduction

Financial markets refer to the various mechanisms and institutions through which investors can buy and sell financial instruments such as stocks, bonds, commodities, and derivatives. These markets provide a platform for investors to manage their financial portfolios and move the capital from one asset class to another. 

India’s markets have grown significantly in recent years, with the country’s stock exchanges, banks, and mutual funds all expanding rapidly. The Indian markets are subject to domestic and international regulations and the influence of global economic and political forces.

Moreover, the Indian mutual fund industry is the fastest-growing in the world and has seen an increase of 5 fold spanning 2012 and 2022. The National Stock Exchange (NSE) and the Bombay Stock Exchange (BSE) support more than 6,500 listed companies. 

How Do Financial Markets Function in The Indian Economy

Financial Markets are India’s primary sources of capital formation, providing funds for economic investments. The role of financial markets can be summarised in the points below.

  1. Financial markets facilitate efficient capital allocation by providing a platform for investors to purchase and sell financial assets like stocks, bonds, and derivatives. 
  2. These are an essential source of capital for businesses, allowing them to raise funds for growth and expansion. 
  3. These provide a way for governments to raise capital for public investments and to manage their debt. 
  4. These markets enable businesses and individuals to risk by providing a way to hedge against adverse price movements. 
  5. Financial markets advertise the efficient transfer of savings from savers to investors, allowing for economic growth. 
  6. These markets provide a platform for companies to issue and trade securities, facilitating corporate governance and providing information to investors. 
  7. These markets offer pricing information, which helps investors assess the value of assets and make informed decisions. 
  8. These markets promote economic stability by providing liquidity to markets during times of crisis. 
  9. These markets pave the way for investors to diversify their portfolios, reducing the risks associated with investing in a single asset. 

Challenges Faced by Indian Financial Markets

One of the most challenging encounters faced by the Indian markets is low levels of financial literacy. It creates an imbalance in the market, leading to the miss-selling of financial products and services. Apart from this, other factors contribute, such as:

  1. Volatility: The Indian markets are highly volatile, making it difficult for investors to predict future trends.
  2. Poor Liquidity: Low liquidity in the Indian markets makes it hard for investors to buy and sell shares quickly, leading to price volatility.
  3. Lack of Transparency: The Indian financial markets lack transparency, making it difficult for investors to make informed decisions.
  4. Lack of Regulatory Oversight: A potent regulator is needed to protect their investments.
  5. Poor Infrastructure: Poor infrastructure in the Indian financial markets makes it difficult for investors to access reliable and up-to-date data.
  6. Taxation: High taxes and complex regulations make investing in the Indian markets costly.

To Sum Up

The financial markets of the Indian economy are significant for the country’s economic development. Providing liquidity to the markets enables companies to finance their operations and investments and improve their productivity. The Indian financial markets are highly regulated by the Securities and Exchange Board of India (SEBI). 

This regulatory body ensures that the markets are transparent and secure. It also sets the rules and regulations that govern the conduct of the markets, such as the listing and trading of securities. Moreover, SEBI is responsible for developing the markets, such as introducing new products and services and taking measures to ensure investor protection.

In recent years, the Indian markets have undergone significant changes. They have become more transparent, efficient and well-regulated. It has increased the flow of capital into the Indian economy, allowing businesses to expand and improving economic growth.

In conclusion, the markets in the Indian economy are of great importance for economic development. They are highly regulated, efficient and accessible to a broader range of investors. They facilitate capital formation, enabling companies to finance their operations and investments and improving economic growth. It has made them a crucial part of the Indian economy.

Why Choose An MBA in Fintech

An MBA in Fintech training program is an excellent choice for those looking to develop their financial knowledge and skills. Learn Fintech in one of the highest-grossing courses offered by Imarticus in collaboration with KL University. 

By pursuing an MBA in Fintech, you will gain specialised knowledge and skills which will equip you to become a leader in the ever-growing world of finance. 

You will gain an understanding of the latest technological advances and how they can be applied to the financial industry. Additionally, as the financial sector is becoming increasingly complex, an MBA in Fintech will give you the skills necessary to stay ahead of the competition.

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