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Category: Analytics

4 highly underrated supply chain management and analytics skills

Posted on by Imarticus Learning

Supply chain management and analytics skills are in high demand in today’s business world. However, many people don’t realize how valuable these skills are until they have already learned them. Developing the most underrated talents in this field is essential to improving your career prospects. This post will discuss four of the most underrated supply chain management and analytics skills.

There are many reasons to consider a career in supply chain management. The field offers ample opportunities for growth and development and the chance to work in various industries. But what are some of the most underrated skills you’ll need for a successful career in supply chain management? Here are four essential skills that often go overlooked.

Here are the four underrated supply chain management and analytics skills:

Skill # 01: Advanced data analysis

Advanced data analysis is the most critical supply chain management and analytics skill. This skill allows you to make better decisions by understanding and interpreting complex data sets. Statistical modeling is another necessary skill, as it will enable you to identify patterns and trends in data.

Skill # 02: Strong business acumen

Business acumen is essential for success in supply chain management and analytics. This skill allows you to understand the complexities of the business world and make sound decisions based on that understanding. It’s also essential to think strategically, as many successful supply chain managers make decisions based on long-term strategies rather than short-term tactics.

Skill # 03: Collaborative skills

Collaborative skills are vital for success in supply chain management and analytics. This skill allows you to work effectively with people to achieve common goals. The ability to communicate verbally and non-verbally is also crucial for this role, as it helps that everyone is on the same page.

Skill # 04: Creativity and innovation

Creativity and innovation are both essential skills in supply chain management and analytics. This skill allows you to think outside of the box when it comes to solving problems or coming up with new ideas for products or services that will benefit your company’s customers. The ability to be creative will also help you come up with new ways of doing things, which will allow your team members to be more productive and efficient in their work.

The four skills highlighted in this article are highly underrated but essential for supply chain analytics courses. They can help you become the best analyst and decision-maker. If you want to be successful in supply chain management and analytics, make sure to focus on developing these skills.

Discover supply chain analytics course with Imarticus Learning

This supply chain management course with analytics goes beyond classroom learning; with our collaborations, individuals interested in entering this hands-on field training from some of today’s top experts may do so! 

Course Benefits For Learners:

Contact us through chat support, or drive to one of our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon.

The best online Hadoop course exists: Here’s what we know

Posted on by Imarticus Learning

Hadoop is an inseparable part of Data Science and Analytics. Without Hadoop, there is no weight in the analytics field at all. Also, it wouldn’t be wrong to say that the mere existence of the analytics would be questionable without a proper database system to support it. 

Where would you store all this data? So yeah, Hadoop is important. Now, where would you pick up this important skill? You can learn Hadoop online and hone your skills. 

So, if you want to enrol in a data science course, you must learn Hadoop online. Imarticus Learning is the best place that you can trust. Read more.

What is Hadoop? What is it Used for?

Apache Hadoop is an open-source software framework that helps to store a large amount of data and process it for computation using a network of many servers. The size of the datasets ranges from Gigabytes to Petabytes. By clustering the servers, not only do you get to store a large amount of data (already mentioned before), but you can also process them quickly and efficiently. 

Hadoop also helps you with a structured data warehousing system with the help of the MapReduce function.

Four main Hadoop modules can describe its entire functioning:

  • Hadoop Distributed File System (HDFS): Low-end hardware is used to run the standard distributed file system. Capable of providing an efficient data throughput than the conventional file systems, HDFS fault tolerance is quite high. It also provides native support to large datasets.
  • Yet Another Resource Negotiator (YARN): A cluster node manager monitors resource usage and schedules tasks and jobs.
  • MapReduce: MapReduce is a framework that helps programs perform parallel computation while the data is being compressed. The map task consumes the input data transforming the dataset into an intermediary dataset that can undergo clustering in key-value pairs. The output reduces the tasks to aggregate and provides the desired result.
  • Hadoop Common: The function of this module is to provide common Java libraries that all the other modules can use for performing their tasks.

Why is Hadoop Important for the Data Science and Analytics Field?

Data Analytics Course

There are many uses of Hadoop in the field of Data Science and Analytics. Needless to say, if you pursue PG in Data Analytics, you must know Hadoop. As mentioned above, most of the data warehousing and storage needs are taken care of by Hadoop only.  The rest of the uses are mentioned below:

  • Data Engagement with Large Datasets

Earlier, data scientists faced restrictions in using large datasets on their local servers. Since most of the data science and analysis requires cleaning and processing a large amount of data. 

The increase in data usage requires databases for analysing and exploring the datasets. Therefore, Big Data and Hadoop give a common platform for this task. With the help of Hadoop, one can use Map Reduce, PIG or HIVE to process the data and obtain the required result.

  • Processing of Data

Data Scientists use Big Data Training for pre-processing most of the datasets. Apart from acquiring the data, you need to transform it after cleaning it and extracting the required features. After the datasets have been transformed into standardised feature vectors from raw data, we get the required output. This way, the entire tasks of the data scientists and analysts have been simplified by Hadoop.

  • Data Mining Dataset for Richer Machine Learning Algorithms

ML algorithms perform better with larger datasets. The results are also extremely precise because techniques like product recommenders, clustering and outlier detection can produce a good statistical output. Conventionally, ML engineers used to incorporate smaller datasets in which data was quite limited. Such models used to be less accurate and had lower performance. The Hadoop system allowed the storage of scalable linear datasets in RAW format.

  • Data Agility

Conventional database systems require a limited schema structure. Hadoop uses a flexible schema that helps its users to handle Big Data. With the help of this flexible schema, users can eliminate the requirement for schema redesign whenever new fields are required. It also speeds up the entire process.

The Best Online Hadoop Course 

The best online course is provided by one of the premier ed-tech companies in the country, Imarticus Learning. The Post Graduate course in data analytics helps you build a solid foundation in data science and analytics. It is also one of the best data science courses with placement, which teaches you all the basics of Hadoop and helps you to incorporate them into your professional assignments. So, what are you waiting for? Enrol now and get ready for a wholesome learning experience in India. 

Engineering at a Glance: What IIT-Roorkee Machine Learning Certifications offer

Posted on by Imarticus Learning

Engineering at a Glance: What IIT-Roorkee Machine Learning Certifications offer

If you’re an engineering student, you know that learning new technologies and staying on top of the latest trends is essential. But if you’re like most students, you don’t have time to attend extra classes. 

That’s where IIT-Roorkee Machine Learning Certifications come in! 

With this certification, you will understand the fundamentals of machine learning and its related topics, like deep learning algorithms, natural language processing (NLP), and big data analytics from some of the best minds in India. Not only that, but you’ll also get access to industry-specific training modules and job assistance opportunities with top employers!  

Let’s look at what these certifications offer and what differentiates them from other certifications. 

What Is Machine Learning? 

Before diving into what makes IIT-Roorkee ML Certifications so unique, we must understand what machine learning is and why it’s crucial for engineers today.

In short, machine learning is the science of using data to improve the accuracy of decision-making in computer systems. 

It allows us to make better decisions using algorithms that can analyze data quickly and accurately. This means that engineers trained in machine learning can create more efficient and accurate solutions for their projects. 

Why IIT-Roorkee Machine Learning Certifications? 

Investing in a machine learning certificate is more than just academic achievement—it’s your ticket to career success! Prove you’ve got the skills and dedication required to become certified. 

Your knowledge of ML principles, techniques, and high standards will be recognized with this prestigious certification, giving you a leg up in today’s job market. No prior coding experience is needed either- this program covers all its components from scratch!

The IIT-Roorkee ML Certification offers students an unparalleled opportunity to learn about this exciting technology without investing a lot of time and money into attending extra classes. 

The certification program includes modules on deep learning, natural language processing (NLP), supervised and unsupervised learning, reinforcement learning, neural networks, and more. 

All of these topics are covered in depth so that students have a comprehensive understanding of how machine learning works. Plus, all the modules are given by experienced instructors who can answer any questions students may have along the way! 

Another great benefit of these certifications is that they provide hands-on experience with industry-standard tools. After completing the coursework, students understand how machine learning works and have tangible skills they can use in their future projects and career paths!  

The machine learning certification course is perfect for engineering students who want to stay current with cutting-edge technology. The comprehensive modules cover everything from deep learning to NLP while providing hands-on experience with industry-standard tools such as Python and Tensorflow. 

So if you are an engineering student looking for a unique way to stay ahead of the curve, these certifications are worth checking out!

Learn Data Science and machine learning with Imarticus Learning. 

Ready to be a data scientist and power up your machine-learning skills? The IIT Roorkee data science and machine learning course are here for you! 

Kickstart your journey with IIT Roorkee’s iHUB DivyaSampark. Over five months, our acclaimed IIT faculty members will help build on the fundamentals while teaching key concepts like mining tools and how to use insights that drive real-world solutions – all through Python programming! 

So do not wait any longer; take charge of organizational growth today by joining this amazing program! 

With the completion of this program, you’ll be rewarded with a Certificate by iHUB DivyaSampark @ IIT Roorkee, Department of Science & Technology (DST), and Imarticus Learning. It will become an eye-catching addition to your profile and help propel your career to amazing new heights!

Course Benefits For Learners:

  • Learn from acclaimed IIT faculty in this 5-month course, and get a unique insight into India’s vibrant industry.
  • Learn the fundamentals of Artificial Intelligence, Data Science, and Machine Learning to develop skills that impact today and the future.
  • Give yourself a career advantage with our data science online training – where you will gain an understanding of cutting-edge technology that will open up extraordinary opportunities.

5 Most Important Questions To Ask When Becoming A Supply Chain Analyst

Posted on by Imarticus Learning

5 Most Important Questions To Ask When Becoming A Supply Chain Analyst

With the use of supply chain analytics, management can make informed choices. A supply chain analyst monitors the chain’s performance, spots emerging patterns and dangers, and works to develop workable solutions to cut losses and enhance the process. Supply chain analysts are one of the professions that are in high demand right now. To become a supply chain analyst, one should develop their skill set, acquire the required information and accumulate experience to work as a supply chain analyst in this industry.

For this position, developing and carrying out plans and activities for the supply chain will be necessary. They will participate in developing and putting into action supply chains, including demand planning and inventory management, in meeting the company’s objectives. 

Some of the important duties of a supply chain analyst are: 

  • Gathering and studying data related to the supply chain.
  • Analysing the inventory, creating inventory reports and coming up with solutions to the problems.
  • Recognising and assessing risks and trends in the supply chain.
  • Ensuring adherence to company rules and regulations.
  • Collaborating with supply chain partners and assisting with the ongoing process and procedure improvements.

Important Questions to Ask When Becoming a Supply Chain Analyst

  • What has your experience been of using data to guide your decisions?

One can learn more about their knowledge of supply chain analysis and your decision-making process by asking themselves this question. Coming up with instances from your past experiences where you used data to examine a problem or opportunity, come up with ideal solutions, and then put those answers into practice effectively, will help you understand if you are fit to handle the data-driven part of the role.

  • How well-versed are you in the various branches of logistics?

The answer to this question will reveal how well you understand supply chain management and how it relates to logistics. To demonstrate your knowledge of several aspects of logistics, including transportation, warehousing and inventory management, you need to have prior expertise. 

  • Have you ever used supply chain management software?

One can gauge their level of software familiarity with supply chain management by asking themselves this question. If they have used this kind of software in the past, they know how it assisted them in fulfilling their job responsibilities. If one hasn’t used supply chain management software before one can outline their desire to learn more about it.

  • Are you aware of the most recent trends in supply chain management?

To keep ahead of the competition and implement creative solutions, many companies prefer to work with supply chain management teams, which consist of individuals that stay updated on technological advancements in the sector. Researching any new supply chain technology you’ve come across and applying it to work will benefit the business.

  • Which abilities are necessary for supply chain management success?

This question should be asked to determine whether the candidates’ skills match those needed for the supply chain management position. The two most important talents required for success in supply chain management are customer service and communication. They support you with supplier negotiations. Being polite and professional will enable you to effectively create lasting relationships with clients. 

Supply Chain Management Course

corporate leadership

Many of these management courses are now offered to persuade people to enrol in these certificate programmes, improve their skills and boost their earning potential so they may find work in this industry. One of the best supply chain management courses is offered by Imarticus. Their SCM (Professional Certification in Supply Chain Management and Analytics) programme is an IIT Roorkee supply chain management course that makes things a lot easier for those who desire to pursue this career route.

This six-month supply chain management course with analytics provides you with online supply chain management training, IIT Roorkee-recognised certificates along with alumni status and live classes from competent lecturers. One will receive credentials for supply chain experts after the training. They follow an advanced curriculum and give students practical experience working on real SCM projects.

Conclusion

In this data-driven scenario, instant solutions have made supply chain analysts’ jobs both straightforward and complex at the same time. They are now expected to have a wide range of software skills that they may apply to their daily tasks to increase productivity and aid in corporate growth. By taking advantage of a range of short programs or certification courses to acquire everything that is there, to know about supply chain management, one may now progress in their career. Choosing the best program that will improve their overall skill set is advantageous for those who wish to work in this profession.

AI certification course: Learning with leaders from IIT

Posted on by Imarticus Learning

Artificial Intelligence (AI) is gaining immense popularity in recent times. This term was first coined in 1956. Now, it is considered to be a next-generation technology that has high potential to succeed in the future. AI has made it possible for machines to learn from their past mistakes and execute tasks that were only done by humans.

Artificial Intelligence has created new job opportunities for the youth. If you are willing to start a career in the AI arena, then get yourself enrolled in an online artificial intelligence and machine learning course. These courses will incorporate you with a detailed understanding of artificial intelligence and its sub-fields. 

What is Artificial Intelligence (AI)?

Artificial Intelligence is an advanced form of technology that can easily create robots that are controlled by computers. This can also build software that can perform human-like tasks. Artificial intelligence was created after precisely examining the human brain and its patterns. The cognitive process was also taken into consideration while designing the modern day. Hence, the result of all this research invents software that is quite intelligent and up-to-date. 

Types of Artificial Intelligence (AI)

There are different kinds of artificial intelligence available in the present-day market. These have been discussed down below:

Purely Reactive

This kind of machine is specialised for a single field of duty. They do not possess and work with any sort of memory and data. For example, computer games. 

Theory of Mind

This is a special type of artificial intelligence that can comprehend emotions and thoughts. They are also capable of interacting socially.

Limited Memory

Limited memory is a machine that can add new as well as old data to its memory. Although it has limited memory, it can make the correct decision.

Self-Aware

This machine is considered to be the future of new technologies. They will possess consciousness, intelligence as well as sentience. 

What are the Various Subfields of Artificial Intelligence?

Artificial Intelligence has been further classified into several subfields. These subfields have their theories and technologies that are slightly different from each other. The various subfields of artificial intelligence are discussed below:

Machine Learning

Machine learning is one of the most important subfields of artificial intelligence. It authorises AI with its learning ability. Machine learning uses algorithms to trace data patterns and create data insights so that AI can utilise this ability to learn like humans.

Deep Learning

Deep Learning is the further sub-field that comes under machine learning. Deep learning is used to imitate the human neural network that is found inside the brain. Therefore, artificial intelligence can trace different noises, data confusion and patterns. 

Neural Networks

Another sub-branch of machine learning is neural networks. The main task of neural networks is to process external inputs through interconnected networks like neurons.

An AI certification course will help one to learn more about these subfields. This course will enhance your knowledge as well as skills.

What is the Advantage of Learning Artificial Intelligence from the Leading IITs?

IIT, or the Indian Institute of Technology, is one of the top-notch government-owned colleges. They create one of the finest engineers and technologists in the country. Besides engineering and other PhD programmes, IITs are now offering artificial intelligence courses. Here are the reasons why one ought to opt for these courses:

1. Student will earn a certificate from one of the top-notch Institutes in India

Every AI online course offered by the IITs comes along with certificates. These certificates have great value, and they are certified by one of the most prestigious colleges in the country.

2. Will impart requisite skills as well as knowledge

The courses offered by the IITs will impart an individual with the most demanded aptitudes and information. It has been forecast that this demand will rapidly grow in the future.

3. Courses are taught by experienced faculties

The AI courses are handled and taught by skilled as well as veteran instructors.  

4. The learning is more inclined towards activity based

These courses offer activity-based learning that includes projects as well as case studies. They will learn about software as well as hardware from an AI course.

5. Top-notch guidance

Besides teaching about artificial intelligence, this course will also guide you with your career trajectory. This course comes along with internships and jobs. 

Conclusion

Imarticus Learning has recently added the IIT Artificial Intelligence course. This online course will embed you with good exposure and experience. It will also help you to bag lucrative job opportunities. So without any further delay enrol yourself in this online course. 

The Potential of Machine Learning in Fintech: A Roadmap

Posted on by Imarticus Learning

The popularity of artificial intelligence and machine learning has skyrocketed, and finance is one of the main sectors where it is flourishing. The emergence of fintech is a shining example of that. It’s amazing to see that this field, which was not popular at all, has now entered the mainstream and is making a significant difference in almost every domain.

Therefore, machine learning in fintech is also a reality where the potential is immense. So, read on to know more about it.

Machine learning has a lot of potential in fintech

AI and ML have been incorporated into the fintech industry, and it has been revolutionising it with the help of automation. According to the statistics, the investment in AI all across the globe in the fintech sector will be approximately $26.67 billion by the year 2026 with a 23.17% of CAGR.

Here are some instances where ML is making a difference in the financial sector –

  • Sales forecasting
  • Asset management
  • Fraud analysis
  • Risk management
  • Predicting stock prices and their movements
  • Product recommendations
  • Personalised services
  • Customer support

The intersection of finance and technology helps financial companies match the fast, evolving tech world. Machine learning is what is responsible for the creation of new ways to innovate financial services which are built on a tech platform. Automation has helped fintech to gear up significantly.

Here are some advantages that machine learning is bringing to the fintech scene of India –

  • Cost efficiency: Since automation reduces the number of staff required for operation, it lowers the overhead cost of the company.
  • Better fraud prevention: An ML system in place will work more efficiently to find the anomalies and perform better to prevent any fraud and other troubles.
  • Less bias: Since the system will evolve with the data it will receive, it will generate better results backed by information. Hence, it will be more stable and without any bias.
  • Better time management: Completing tasks like analysis, market study, etc., are time-consuming, but with a system like this in place, it will lower the time required for decision-making considerably.
  • Better customer engagement: Since the implementation of AI and ML ensures every individual gets a customised solution, it enables fintech companies to offer more tailored products and services. Hence, they can improve customer engagement and serve their clients better.

But how should you go about your career? Follow this fintech roadmap

edtech institute

If you decide to take up fintech as a career, you need a roadmap for it. Otherwise, you may deviate from the career path that you have made for yourself. In the following decades, fintech will dominate the job sector with lakhs of new jobs.

So, this is what we were waiting for. Here is the Fintech roadmap for beginners who wish to enter this field and give themselves the best leverage in their career in this field.

  • Graduate with a degree

To begin your innings in the Fintech sector, it is advisable to begin your career with a graduate degree. You can opt for a non-medical or commerce field in your 11th class, and after clearing your 12th class, you could opt for an engineering or commerce degree. If you have opted for Engineering, make sure you supplement your course with a diploma in finance.

  • Get the necessary post-graduation qualification

After you have acquired the necessary qualification during your graduation, now you need to go for the course that is necessary for your career. Obtain an MBA in fintech from a reputed university or college like KL university.

Here, you get a chance to learn the intricacies of fintech along with the knowledge of cryptocurrencies and artificial intelligence in fintech and Blockchain. KL university has tied up with Imarticus Learning. Together, they provide the students with the necessary qualifications for a fintech job. You can enrol for the MBA program they are running to secure placement once you finish the course.

  • Work in a bank job

Banks are pouring billions into cloud development, digital innovation and fintech acquisitions in the current environment. Since they are shifting to a more digital method, starting your career with a traditional bank before shifting to fintech is not a bad idea.

  • Work for a fintech startup

On the other hand, you can decide to go work for a fintech startup to begin your career. This can also be a good move to kick-start your journey in this domain.

To sum up, hopefully, this write-up has shed some light on how machine learning is evolving the fintech sector and what the future will be. And, if you are planning to enter this domain, then completing an MBA in fintech can be of great advantage, as it will shape your future in fintech.

IIT Roorkee: Changing The Face of The Supply Chain Management Industry in 2022

Posted on by Imarticus Learning

IIT Roorkee: Changing The Face of The Supply Chain Management Industry in 2022

Supply Chain Management (SCM) is sequentially connected activities that aim to fulfil the demand (product or service) of a client. There are several stakeholders in this process, namely the vendors, manufacturers, whole-sellers, dealers and retailers. All these stakeholders are connected by the most important stakeholder, who is the Logistics Partner. Supply chain management activities essentially involve the flow of information and product or services through several complex networking.

How to Get Started in This Career?

e-learning training programs

After completing the UG course in any field, a prospective candidate may enrol himself/herself in a reputed institute. These renowned institutions will pave the path to an excellent supply chain management career. They also provide certifications for supply chain professionals. A prospective candidate must possess the basic aptitude for learning business processes and preferably should have mathematics as one of the subjects in the UG course. Business management, institutional behaviour and management principles, corporate communication, human resource management, statistics and economics are the core subjects that are to be taught in the post-graduate diploma certification courses for supply chain management. 

Several elective subjects are also available to choose from. These include principles of supply chain management and logistics, product and brand management, inventory and warehouse management and international trade and operations.

The Changing Face of Supply Chain Management 

Nowadays, clients have become more demanding than ever, both in terms of quality and promptness in service. To get these on the table, they are even ready to pay a reasonable premium. The spree of purchasing, particularly in the retail sector, has gone up considerably. The purchasing power of an average Indian in a middle-class family has also increased. The supplier-customer relationship in 2022 is not the same as it was a decade back. The concept of supply chain management has transformed enormously throughout the past decade. Previously, the general idea was to consider it as a mere procurement department. In today’s world, supply chain management has taken over marketing or business management, which organisations practised lately a decade back.  

The pandemic has changed our lives forever. Though online shopping was already practised earlier, it became multi-fold during and after the pandemic era. Nowadays, with the introduction of data science and artificial intelligence into the operating system, the organisation gets rated for the product or service it sells. Such ratings depend not only on the quality of the product but also on its payment process, packaging, delivery time and return policy among other points. All these processes are essentially part and parcel of supply chain management. These ratings by customers become a guiding manual for prospective clients, who wish to go for the same or similar products or services. Thus, sellers cannot remain complacent by only maintaining the quality of the product through stringent checks on their vendors; but also, they should have strong and efficient supply chain management and logistics networking so that they may score high in the rating procedure. In fact, in today’s time, those companies are perceived in a good light whose supply chain management is up to the mark.   

New Challenges

There is no denying that the changing demand of customers has paved the way for the rapid transformation of supply chain management and added to its growth trajectory in a significant way. However, all these do not come without their set of challenges, which are new and dynamic, as well. The organisation sometimes fails to make it to a win-win situation in spite of having the best vendors with a strong operation and logistics team. The devil to this effect is the lack of seamless coordination between the different stakeholders in the whole process. Communication within the planning and execution departments within the same organisation gets tricky at times and results in poor results at the bottom line. The correct inventory management by the manufacturers is also a high-risk affair. The inventory should not be too high so that it keeps waiting for a long time to find a taker. It should not also be too low so that a prospective client is directed towards a competitor. De-risking hazards and price volatility are genuine concerns for organisations. 

The Way Ahead

In order to take stock of the situation, organisations must make good use of the history data or past feedback information efficiently to plan their inventory, both for the raw material and the finished goods. Through these data, the organisation may also record the pattern change in demand. So, they may even decide to discontinue a product or a service that the clients do not wish to have anymore.  

Conclusion

As a profession, supply chain management aspirants may surely expect a rewarding career and sustainable growth in the long term. Candidates may even choose to be a Business Analyst and support the overall supply chain management system. The IIT Roorkee supply chain management course at Imarticus is an online course. This course will help you to make a successful career in this field. 

How to pick from myriads of online AI courses

Posted on by Imarticus Learning

As natives of the advanced technological world, we should be aware of all its essential as well as developing features. Adapting to the constant tech-upgrade is very crucial for a smooth transition of lifestyle. Artificial Intelligence is one of the most innovative technologies that has been created to influence our lives. To provide us with better security and comfort, AI has surely changed our lives. This is why it is important for developers and designers to take the AI and Machine Learning course, which will help them understand this concept better.

What is Artificial Intelligence?

corporate leadership

Artificial Intelligence constitutes sets of algorithms which can read data activities and generate efficient automated results. They do not need human interference, inputs or any manipulation. Unlike before, where even a calculation from a calculator was considered to be a feature of AI, it has a different meaning now. It is divided into three parts. They are:

Artificial General Intelligence

It is one of the strongest AI categories. Most people are familiar with this feature of AI. It impersonates the human level of intelligence. Various smartphones have the characteristics of speech recognition, face recognition, etc. That is done by AI. Although it has been well-developed, there are a lot of things that still need more updates here.

Artificial Narrow Intelligence

It is considered to be weaker among the three categories. It mostly focuses on the completion of tasks and fulfilling their purpose. Features such as Alexa, Siri, etc., that are present in various electronic devices are a part of this AI category. Machine learning is important to carry out these functions. It caters to providing solutions to problems one at a time. 

Artificial Super Intelligence

This category is more attributed to future achievements. When machines and robots will be able to have emotions, express their opinions, do art, perform sports, etc. This category allows space for innovation and development.

Things That You Must Keep in Mind While Selecting the Right AI Online Course

  • Knowledge of Data Engineering

An Artificial Intelligence course and a Machine Learning course go hand in hand. In order to learn data engineering, you must be well accustomed to Machine Learning. This skill is crucial as it allows developers to store and pre-process raw data. In order to process any website or server tasks the operator needs to have various commands ready for the next step. When a customer clicks on the purchase tab, a new set of data is generated. The process of Extract, Transform, and Load (ETL) takes place, which is crucial to access further steps. While learning about data engineering, you need to have a great understanding of statistics, analytics, predictions, commands, etc. 

  • Programming languages

In order to comprehend and make changes in the system, you need to have the right knowledge of the language of machine learning. Programming languages will help you input commands that are comprehended by the machine and then carried out as per your direction. Following is the list of programming languages that you should be learning. (It is not compulsory to learn them all but a few essential ones must be well understood.)

  1. Python
  2. Scala
  3. Java
  4. C++
  5. JavaScript
  6. Go
  7. Ruby
  8. Clojure
  9. Erlang
  10. Perl

  • Understanding of Data Analysis

As an Artificial Intelligence learner, it is crucial for you to have a good understanding of data analysis. Since you will be surrounded by huge loads of data sets, you need to know how to dissect and analyse them. It will help you observe different patterns of data used as well as help in the identification of anomalies which will in turn help to analyse hypotheses. You should be able to do the following:

  1. Be able to calculate data that are presented in rows and columns. You should be able to calculate the minimum and maximum values, overall percentage, column mean and standard deviation. 
  2. Be able to erase unnecessary outliners from the data as well as any correlatable variables.
  3. Be able to create graphs for a better visual representation of the data.

  • Ability to execute Data Modelling

It is important for you to learn Machine Learning algorithms in your AI and Machine Learning course. Knowing about your machine’s ability to create algorithms is just one part of the process. You need to be able to use it and create data models for accurate executions.

If your data sets have a series of inputs and outputs, you need to create a data model which defines the relationship between the two. If your data entry only consists of inputs then you need to identify the existing pattern used in it and categorise it under a group of similarities and dissimilarities. Therefore, you need to be quite familiar with all the machine learning algorithms. 

Conclusion

It is a hectic task to find the perfect place where you can put your trust in for being trained at your utmost abilities. While searching for the perfect course to learn Artificial Intelligence you must be thinking of an IIT AI ML course but we have better options for you. Imarticus offers the best certification in Artificial Intelligence and Machine Learning for your data science career. You should put your faith in these experienced professionals. 

A practical guide for deep learning in 2022

Posted on by Imarticus Learning

We usually encounter e-commerce sites and web portals that have products we’ve wanted but never found, or one of our favorite songs appears on a Spotify playlist or YouTube video unintentionally. All this is possible through deep learning in action in the back end. Deep learning is driving the smartness of the future of business, which is a strong branch of the machine learning domain we dream of learning about.

Let’s explore ways to get on the right path to mastering deep learning skills.

Deep Learning

Deep Learning (DL) – A subset of machine learning for robotic decision-making operations and the ability to make predictions by learning situations. Artificial neural networks drive deep learning systems. The DL works the same way the human brain works in the learning process. Artificial neural networks learn from data without being explicitly programmed. In short, Deep Learning is used to develop models that will sense patterns in data and help in predicting the most accurate result.

Deep Learning trend

Moving to online platforms is the current industry trend. The transition enhances transparency and provides stakeholders with access to organizational information. This will result in a large amount of data. This data has inherited intelligence that is suitable to be used in deep learning systems. The DL systems, therefore, can derive scalable and adaptable insights for businesses. These solutions are reasonable and help in real-time information processing, enabling businesses to make informed decisions.

The global deep-learning market is expected to grow substantially over the next five years. A published report titled “Deep Learning Market Size, Share, Analysis Report and Region Forecast, 2022 – 2030,” published by Acumen Research and Consulting, predicts that the adoption of big data analytics will increase the deep learning market size by 51.1% CAGR to USD 415 billion by 2030.

Deep learning is developing rapidly and is poised to bring impressive advances in the field of data science. Deep learning is making amazing progress in the field of natural language processing and image recognition. Going forward, DL will help build more accurate models to predict outcomes and determine appropriate actions. Deep learning has a profound impact on how we use AI and machine learning in the real world. How businesses use AI and its scope in their applications will continue to change in the coming years.

DL does not require coding

Deep learning is effective in uncovering patterns from data. Instead of coding for software programs aimed at solving problems, with machine learning, we develop systems that learn from a set of examples in data to solve the problem. It is, therefore, the learning process that allows algorithms to improve over time and become more accurate. With the learned memory and set of rules, the DL systems get smarter when following the strict instructions fed to the model.

Taking note of DL Trends in 2022

To explore the DL domain, we first need to learn the basic concepts of data science and machine learning. The deep learning trends in 2022 will help us keep abreast with the market demands.

NLP Enhancements – Deep learning algorithms have significantly improved Natural Language Processing (NLP). Corrections are made to help better understand the meaning of words and phrases. Contextual meaning is also provided. Overall, better machine translation and information retrieval are now possible.

Predictive modeling evolved to prescriptive action – Previously, predictive models were often based on shallow ML algorithms that had difficulty learning from high-dimensional data. As predictive modeling has become more accurate, now, DL algorithms can learn from data with multiple features, making them more accurate.

Additional DL Architectures and Algorithms – Deep Belief Networks (DBNs) have been introduced to address some of the challenges facing deep learning. Slow performance and difficulty with large data sets are now addressed. DBNs are designed as multiple layers of neural networks that are constrained to communicate within their layer or horizontally.

Accessibility – Deep learning algorithms were seen as complex and difficult to understand by non-data engineers and were made more accessible. Additional tools and add-on services, such as DALL•E 2 from OpenAI, now facilitate the development of DL models. Reuse of models is possible for different use cases, limiting specific resource requirements.

Scaled-up DL Models – The capacity of deep learning models has been increased in terms of size and manipulation complexity. Added layers and nodes in the DL model will help improve the accuracy and speed with which deep learning models can learn.

Learning Data Science

artificial intelligence and machine learning courses in India

Most technical graduates and early career professionals are attracted to step into the data science domain.

Those interested in a data science career are expected to train in one of the prestigious programs. Choosing the right path, such as a deep learning course, will help us gain expertise in machine learning and data science.

The most popular programs offered by Imarticus Learning are the PG Program in Data Analytics &  Machine Learning. It is a specialized data analytics course that assures the participants of a definite career in data analytics.

Conclusion 

Taking the most beneficial Deep Learning Course can provide the necessary education to help develop real-world applications of data science.

Please contact Imarticus Learning to get more information on data science and analytics courses. One can also reach Imarticus through live chat or by simply sending a message, or by visiting the nearest training centers located in major cities like Pune, Mumbai, Thane, Gurgaon, Delhi, Bangalore, Chennai, and Ahmedabad.

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Natural Language Processing Course in India

Posted on by Imarticus Learning

Natural Language Processing Course in India

If you want to expand your expertise in natural language processing (NLP), a course in India can be a great way to do so. NLP is the process of teaching computers how to interpret, analyze, and understand human language. 

As this technology is becoming increasingly important for improving our interactions with machines and understanding human language’s complexities, understanding its applications is essential. 

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This blog will provide an overview of what an NLP course in India looks like and why it benefits those interested in pursuing this field. 

What Does an NLP Course Entail? 

A natural language processing course in India typically covers basic concepts such as syntax and semantics, machine learning algorithms for text analysis, and natural language processing techniques used for text mining and information retrieval. 

Students will also learn about the fundamentals of artificial intelligence (AI), deep learning algorithms, natural language generation techniques, and speech recognition systems. 

The course may also cover chatbot development, automatic summarization techniques, sentiment analysis tools, text-to-speech systems, question-answering systems, and more. 

Why Should You Take An NLP Course? 

 This course provides students with a comprehensive understanding of how these technologies work together to improve our interactions with digital devices and make sense of large amounts of data. 

Additionally, you will be able to develop your skillset by gaining experience working on projects related to natural language processing. This can help open up opportunities within the tech industry or become a stepping stone if you want to start your own business using these technologies. 

Some of the most exciting applications of NLP 

  • Speech Recognition/Synthesis 

One of the most common uses of NLP is speech recognition or synthesis. Speech recognition is when a computer can take spoken words as input and convert them into text or digital formats. 

Examples include dictation software like Dragon NaturallySpeaking and voice-activated virtual assistants like Amazon Alexa or Apple Siri. Speech synthesis is when a computer takes text as input and converts it into spoken words. 

Text-to-speech software such as Google Translate can generate human-like voices from written text in various languages. 

Speech recognition and synthesis have become increasingly important tools for accessibility, allowing people who are visually impaired or deaf to interact with technology in ways that were not possible before. 

This technology has also opened up new business possibilities, such as contact centers accepting voice commands from customers over the phone or automated customer service agents providing timely responses to customer inquiries via voice chatbots. 

  • Natural Language Understanding (NLU) 

Natural language understanding (NLU) is a field within NLP that focuses on enabling computers to interpret meaning from natural language inputs such as text or speech. NLU algorithms allow machines to understand the context behind spoken words so they can accurately respond with relevant answers. 

NLU is becoming increasingly important in fields such as healthcare, where accurate interpretation of medical reports is critical to patient care decisions; finance, where banks need accurate interpretation of financial news to make informed investment decisions; and law, where lawyers need access to correct legal documentation at all times to provide quality legal advice quickly. 

You will gain valuable insight into how these technologies work together and develop skills that could lead to exciting opportunities within the tech industry or even start your own business focused on AI-based products or services. 

So if you’re interested in furthering your understanding of human language or want to become part of this rapidly growing field – taking an NLP course might be the perfect place to start!

Explore PG in Data Analytics with Imarticus Learning

Imarticus Learning offers a comprehensive data science course with placement. With our experienced instructors and interactive lessons, you will learn Python programming fundamentals quickly. Our course covers everything from basic Python concepts to advanced data analysis techniques, giving you valuable insights into data science and analytics.

Course Benefits for Students:

  • Students can learn data analytics online without leaving their home comfort.
  • Gain hands-on experience with data science and analytics codes.
  • PG in data analytics certification provides learners the complete theoretical and practical knowledge of data analytics.

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