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Category: Management

My Journey to Mastery in Natural Language Processing

Posted on by Imarticus Learning

My Journey to Mastery in Natural Language Processing

As we already know, the field of data science is quite broad. Building a successful career in data science is a huge task in itself, which needs proper mentoring and guidance from experts.  Here, you can find numerous branches of study, each branch is concerned with a specific concept. One such branch of learning in data science is natural language processing. Ample study materials and tutorials are available to learn NLP in data science, but the learning process is not known to all. Thus, it becomes a great help if someone shares their journey or helps in navigating yours.

To start off with your journey of mastering natural language processing needs a dedicated mind and a helpful roadmap. The first requirement must be fulfilled by you and I can help you figure out the roadmap of your journey by sharing mine. Firstly, anyone who is planning a career in data science or wants to master NLP, must understand its meaning deeply. So, we also must start with understanding the meaning of NLP, and then proceed further. 

What is NLP?

The National Language Processing is an area of research study in artificial intelligence which concentrates on understanding human language as it is spoken or written. If one digs deep, they will know its history in the field of linguistics and data science, which existed for a long time now. This ability of a computer program is applied in various real-world industries. For example, it is used in medical research, search engines, as well as in business intelligence. 

One major application of NLP is in the field of data science, as it is impossible to analyse and process huge data without natural language processing. 

After you understand the basics of NLP, it is time to go in depth of the skills you must gather to go smoothly in your journey of mastering natural language processing. 

Here are some skills that  you should gain and move forward in your learning process; 

 

  • Programming

 

It is well known in the technical field that programming is one of the essential skills to acquire. Once you learn programming, it becomes easy to apply it in mathematics and statistics as you go on. Based on your application, you can go on gathering knowledge in programming. As we are discussing about NLP, the minimum requirement is to have basic knowledge of programming in any programming language. To give you some relief, I must let you know that learning a programming language is not hard if you go in with a dedicated mind. 

 

  • Mathematics

 

After you have a basic knowledge of programming, then you can apply it in mathematics, statistics and probability, quite easily. But before that, you must know the various aspects of maths. As mathematics is a vast field and a huge part of both data science and NLP, it is of utmost importance to study the prime aspects of it thoroughly. The main fields of study here are linear algebra, calculus, probability, and statistics. 

 

  • Machine learning 

 

One of the important concepts to study in data science is machine learning which is also a broad area of study. But to understand natural language processing algorithms deeply, one must be familiar with machine learning algorithms. Some of which are supervised, unsupervised, and transferred learning. You can get a good knowledge of this combined with NLP and of entire data science from a post-graduate program in data science and machine learning. This data science course with job placement will not only make you an expert but help you gather professional experience as well. 

 

  • Text Preprocessing 

 

Now, it’s time to learn the NLP basics, and the first step to it is to understand the text preprocessing. Under this, there are several procedures that are undertaken to go further in the analysis process of a text. Briefly, it comprises concepts like stemming, tokenization, stopword removal, lemmatization, and many more. All you need to do is to understand the concepts and their uses to apply it appropriately. 

 

  • Core NLP techniques

 

Lastly, after learning about different concepts and acquiring various skills, it is important to understand the core techniques of natural language processing. As text preprocessing makes the text ready for further analysis, the core techniques of NLP analyses it thoroughly. It aims to perform a set of specific tasks to extract useful information from the text. 

These techniques are building sequence models, parsing text to extract syntactic representation, classifying texts, applying language models, and many more. 

Along with learning these techniques, it is mandatory for you to keep track of recent development of the field, both technological and academic.

Conclusion

Once you master natural language processing, you also cover a huge part of data science study. This will help you build a career in data science, a field that has a bright future ahead. So, it is advisable to all the newcomers to get started with your journey of mastering NLP. There are endless possibilities waiting for you on the other side. 

How supply chain analytics help managers predict future demands

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How supply chain analytics help managers predict future demands

The goal of every business is to meet customer demand. This is especially true in the manufacturing and supply chain industries, where the focus is on delivering the right product, to the right place, at the right time – without overproducing or holding too much inventory. To achieve this goal, both managers and analysts must have a deep understanding of customer behaviour and be able to predict future demand. In other words, they need to understand the complete supply chain from end to end clearly. This is where supply chain analytics comes in.

What is Supply Chain Analytics?

Supply chain analytics is analyzing data to improve the efficiency and effectiveness of supply chain operations. It can track and predict future demand, optimize inventory levels, and identify cost-saving opportunities. By understanding how supply chains operate, managers can make better decisions about where to allocate resources and respond to demand changes.

Supply chain analytics help managers predict future trends & demands

Supply chain analytics help managers predict future demands by providing them with data-driven insights into past and current trends. By analyzing this data, managers can identify patterns and predict future demand. This information can then improve planning and decision-making within the supply chain.

Supply chain analytics can help managers in several ways. For example, they can be used to:

Identify patterns in customer behaviour: By analyzing data on past customer orders, managers can identify patterns in customer behaviour. This information can predict future customer demand and adjust the supply chain accordingly.

Improve forecasting accuracy: By analyzing data on past orders, shipments, and inventory levels, managers can improve their forecasting accuracy. This improved accuracy can lead to better decision-making within the supply chain.

Reduce costs: By identifying patterns in data, managers can find ways to reduce costs throughout the supply chain. For example, they may be able to find efficiencies in the production process or in how goods are shipped from one location to another.

Significance of supply chain analytics course in becoming a successful supply chain analyst?

Supply chain management course

Supply chain analytics is a course that helps managers predict future demands. The course provides the skills and knowledge necessary to understand and apply predictive analytics techniques to supply chain data. The course covers statistical analysis, mathematical modelling, and data mining.

The course covers statistical analysis, mathematical modelling, and data mining, which are all essential for predicting future demands.

Transforming with Imarticus Learning:

The Professional Certification in Supply Chain Management and Analytics has been designed in collaboration with CEC, IIT Roorkee and industry leaders to provide a cutting-edge experience to students willing to make a career in the operations & supply chain industry.

Supply Chain Analytics enables management to make data-driven decisions at strategic, operational, and tactical levels. 

Why become a successful supply chain analyst with a supply chain analytics course from Imarticus Learning?

The SCM field needs more professionals with process and analytics talents. This certification prepares students for high-demand job roles such as Demand Planner, Data Scientist, Supply Planner, and Supply and Operations Planner.

Course USPs:

  • Learn Job-Relevant Skills
  • Gain Certification from IIT
  • Learn from IIT Faculty
  • Get Mentored by Industry Experts
  • Live training by IIT faculty
  • Campus immersion at IIT Roorkee
  • Certification from CEC, IIT Roorkee
  • Curriculum designed by CEC, IIT Roorkee

This 6-month program prepares students for the ever-increasing trend of e-commerce and the amount of movement of goods has been ever-increasing. There has been a disproportionate jump in the number of jobs for SCM across industries. This program prepares you to gain all those new-age career opportunities.

For further details, reach out through Live Chat Support system or visit our training centres in Mumbai, Thane, Pune, Chennai, Bengaluru, Hyderabad, Delhi, Gurgaon, and Ahmedabad.

What you need to look for in an artificial intelligence and machine learning course

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What you need to look for in an artificial intelligence and machine learning course

Artificial Intelligence and Machine Learning are two highly demanded career opportunities in the present market. A lot of aspirants are unsure about which career path they should choose. This can be a real confusion because Artificial Intelligence and Machine Learning are tools used in Data Science and any product related to AI demands you to have strong knowledge in the field of Artificial Intelligence. 

You can avail artificial intelligence and machine learning training from any reputed institution and future-proof your career. By choosing the right AIML course you can get an assured career in Data Science with lucrative job opportunities that are relevant to your field of study.  To know more about this program in Data Science and Machine Learning, read below: 

What should you look for in a productive Artificial Intelligence and Machine Learning Course? 

These are the things you should look for in an Artificial Intelligence and Machine Learning course:

  • Industry projects 

You can be assured that the course will benefit you if it delivers where you can use the skills you’ve learned and get hands-on experience. 

  • Type of learners and learning 

You must ensure that the program has learners belonging from varied backgrounds, experiences, and geographies, they have better networking by which they can offer new opportunities and experiences. 

  • Learning support 

If you get constant learning support from the program and it allows you to choose your class timings, you’ll find it easier and faster to learn based on your schedule. 

  • International recognition 

If the program is certified by reputed industries or international universities, it can add a lot of value to your resume. So, you must check whether the course you’re opting for has international recognition or not. This will increase your chances of having a lucrative career in machine learning. 

  • Type of tools and skills that are included 

Don’t forget to check the type of skills and tools which are covered by the course you’re enrolling for. If you get to learn about using the in-demand skills and tools, the course will become more useful for you.

Why should you opt for this course in Artificial Intelligence and Machine Learning? 

If you’re still looking for reasons to opt for this course, here are some important ones you can consider: 

  • Acquire job-relevant skills 

Brace yourself for an exciting career in Data Science by mastering the in-demand AI and Data Science skills. The course involves 25 realistic projects which focus on delivering exposure to varied industries. You can assure yourself of a strong career in Data Science with this course. 

  • Licensed by E&ICT Academy, IIT Guwahati 

Grab your employees’ attention and show off your AI skills with a certificate from E&ICT Guwahati and Imarticus Learning, one of India’s most reputed academic partnerships. 

  • Well-known academic faculty 

You can take classes from one of the most reputed faculty in the country through discussions and live online sessions. The sessions delivered by these academic professors will guide you in developing clear Data Science concepts. The industry experts also help you in getting hands-on experience in implementing the concepts you learn. You can also work on realistic projects based on Deep Learning, Machine Learning, and AI. 

  • Flexible learning 

The curriculum of this course has been designed as per the NEP 2020 which gives you the flexibility of transferring the program credits for almost 1 year. 

What’s this program all about? 

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This certificate program in Machine Learning and Artificial Intelligence has been created in partnership with IIT Guwahati, E&ICT Academy, and industry giants to deliver a unique learning experience to the aspirants of Artificial Intelligence and Machine Learning. The duration of this program is 9 months and it helps you get prepared for many job roles like Data Analyst, AI Engineer, Data Scientist, and Machine Learning Engineer. 

This program can strengthen your basic skills in AI. Get the best out of expert mentors and acquire a practical knowledge of Artificial Intelligence and Machine Learning. We offer real-world projects from varied industries for you to work on. This course can be very helpful for you in unlocking profitable career opportunities in all related fields of Artificial Intelligence & Machine Learning. 

Conclusion 

That’s all you should know about this very beneficial program in Artificial Intelligence and Machine Learning. If you’re aspiring to a career in Data Science, you must have a clear concept of both Artificial Intelligence and Machine Learning. Both AI and ML are tools used in Data Science. This course can effectively help you in building and strengthening your Data Science. There’s no need for you to give a second thought and enroll for this course as soon as you can. It is very easy to register for this program and you just need to visit our official website to apply. So, don’t waste any more time, and go ahead! 

How a machine learning course with placement impacted my career

Posted on by Imarticus Learning

How a machine learning course with placement impacted my career

Machine learning is a part of artificial intelligence that deals with designing and developing algorithms that can learn from & make predictions on data. Machine learning aims to create algorithms that can automatically improve given more data.

Machine learning is a relatively new field, but it has already seen a great deal of success in a variety of industries. One of the most notable examples is Google’s use of machine learning for image recognition in their Google Photos service. Another example is Facebook’s use of machine learning to fight spam.

What are some basic things that a machine learning course teaches?

Machine learning is an exciting field to be in. It’s one of the few industries where you can make a real difference and one of the most rapidly growing research areas.

One reason is that machine learning has become incredibly accessible, thanks to online resources. Data analytics certification courses or Machine Learning programs provide free access to expert instructors and materials designed specifically for a machine learning course.

Another reason is that machine learning is so broad that there are many ways to approach it. In addition to basic algorithms like linear regression, tree-based models and support vector machines (SVM), many other machine learning algorithms are available that don’t fit into these categories. Some examples include Gaussian processes, neural networks, Bayesian models and more.

Finally, machine learning is an exciting field because it deals with complex problems from different angles: from statistics and data mining to robotics and artificial intelligence (AI). By combining these different perspectives into one coherent field of study with its terminology and terminology, we can build better models that are more capable of understanding the world around us.

After completing a machine learning course, students should understand how these concepts can be applied to real-world problems. Additionally, they should be able to identify when it is appropriate to use different models and be familiar with common pitfalls that can occur while creating and using machine learning models.

How will machine learning impact career advancement?

Machine learning is a field of artificial intelligence that aims to provide computers with the ability to learn from data without being explicitly programmed. Machine learning is a relatively new field, and as such, it is constantly evolving. This means that there are many opportunities for career advancement within the area of machine learning.

https://www.youtube.com/watch?v=lR5ZhgXZZIs

 

There are many different ways in which machine learning can impact career advancement. For example, AIML is used to develop new algorithms that can be used in various fields. Additionally, machine learning can be used to improve existing algorithms or techniques. Finally, data analytics certification course can help you develop new applications using new-age techniques.

The impact of machine learning on career advancement will depend on the individual’s specific skills and experience. However, there are many opportunities for those with the right skills to advance their careers in this exciting new field.

Become a Data Analyst with Imarticus Learning:

Get an in-depth look at the data science job landscape with Imarticus Learning. Students learn the real-world application of data science and build predictive models that enhance business outcomes. This machine learning course with placement is ideal for recent graduates and professionals who want to develop a data science and analytics career.

USPs of the course:

Created to collaborate with Data Science & Analytics industry.

Designed to help acquire a skillset sought after by the world’s largest employers of Data Scientists.

Transform into an expert Data Scientist through Capstone Projects, real-business projects, relevant case studies and mentorship.

Contact the Live Chat Support system or visit our Mumbai, Thane, Pune, Chennai, Bengaluru, Hyderabad, Delhi, Gurgaon, and Ahmedabad training centres.

Natural Language Processing: A Breakthrough Technology In AI

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Natural Language Processing: A Breakthrough Technology In AI

Natural language processing (NLP) is a branch of artificial intelligence that deals with computers understanding and analyzing human speech. NLP is used in data science training and analytics for document classification, sentiment analysis, and social media monitoring. NPL is a crucial module that is important for learning data science.

Using NLP algorithms, computers can be trained to process and parse text to extract meaning. This understanding allows computers to interact with humans more naturally by responding to questions and commands like humans do—using natural language.

The importance of NLP in data analytics comes from the fact that most data is not structured or organized in a way that machines can easily read. For example, suppose you wanted to know how many people were born in Seattle between 1980 and 1989. In that case, you could find this information by searching through every record individually or by using an algorithm to organize all those records into individual years and then count them. In both cases, you would need some program or algorithm with instructions on how the machine should conduct it.

Here is where NLP comes into play: instead of humans writing codes for every situation (which would require them to think about every possible scenario), they can use NLP methods. Machine learning algorithms are capable of learning from their own mistakes.

Natural language processing is essential because it allows machines to interact with humans in a way that feels natural. For example, you can ask Siri questions and receive answers in plain English—rather than dealing with complex programming languages or commands.

Natural language processing is one of the most exciting areas of AI research today. NLP is the ability of computers to understand and process human language. It plays a massive role in the development of AI.

NLP is used extensively in voice assistants like Amazon’s Alexa, Apple’s Siri, and Google Assistant. These assistants can understand what you say and respond accordingly, which is incredible. Intense work goes into making machine/AI assistants sound natural when they respond. 

They have to be able to answer questions about schedules or alerts about upcoming events’ reminders; they have to know what kind of information is shareable with whom, and they have to know how to respond when confronted with something inappropriate or off-topic. All this requires extensive training with humans willing and able to provide feedback on how well the assistant understands what was said and what needs improvement before it can go live on the market.

This technology can be used for several things, including:

  • Helping people who don’t speak English understand the meaning behind words spoken—understanding what people are saying so that you can respond appropriately.
  • Understand human speech patterns, allowing us to communicate with machines more naturally.
  • Create more intelligent chatbots and virtual assistants that can respond as humans would.
  • Helping people find information on the internet if they aren’t sure how to phrase their search query.
  • Help machines understand the written text better than ever before, which will help them make better decisions related to translation services or robotic surgery procedures (for example).

The two methods of NLP

Syntactic analysis and semantic analysis are two methods of text analysis. The syntactic analysis breaks down a sentence into its parts and determines how those parts are arranged in relation to each other. The syntactic structure can also determine the type of sentence — whether an imperative, declarative, or interrogative statement, for example. Semantic analysis is the process that determines the meaning of a word or phrase by analyzing its relationship to other words and phrases in context. This might mean looking at the relationship between individual words or groups of words. 

A good example would be:

“The dog ran away”.

Using syntactic analysis, we can see that this phrase has three parts: “the”, “dog”, and “away”. Each word contributes something different to the overall meaning of the sentence—so we can see that each part must be considered when trying to understand what it means. However, with semantic analysis, we would look more closely at each word individually.

Imarticus learning offers a deep-dive post-graduate course that takes you through the basics of NLP and other vital subjects required to learn data science, spread across six months of an integrated course for a successful data scientist career. Book a call with us today or walk into our offline centers to know more about the course and its benefits.

Building a data science career with IIT Roorkee: Top online courses in 2022

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Building a data science career with IIT Roorkee: Top online courses in 2022

In recent years, data science has become one of the most popular and lucrative career choices. With the increasing importance of big data, companies are looking for employees with the skills to analyze and make sense of large data sets. IIT Roorkee is a great place to start if you’re interested in a career in data science.

This blog will discuss some of the best online courses for aspiring data scientists. We’ll also examine what skills you need to succeed in this field. So if you’re ready to start your journey toward a career in data science, keep reading!

Data Science: An overview

It is the process of extracting knowledge and insights from data. It uses statistics, machine learning, and computer science techniques to analyze data. Data scientists use these tools to solve problems in business, healthcare, and education.

There is a growing demand for data scientists across all industries. This is because businesses are increasingly relying on data to make decisions. Data science can help companies to automate processes, improve customer service, and make better decisions.

Skills You Need To Be A Data Scientist

If you’re interested in becoming a data scientist, there are a few skills you need to have.

  • Technical skills: As a data scientist, you must be proficient in statistical analysis and computer programming. 
  • Data Analysis & Visualization: Data scientists need to be able to clean, organize, and analyze data. They also need to be able to communicate their findings clearly through visualizations such as charts and graphs. 
  • Problem-solving skills: Data scientists solve complex problems. You will need to have strong analytical and problem-solving skills to do this. 
  • ML with AI & DL with NLP: To implement tools and techniques in various logic, decision trees, etc., one needs to have a thorough understanding of machine learning and artificial intelligence. Any data scientist with these skill sets can work on and resolve complex problems specifically created for predictions or for choosing future objectives. These skills will undoubtedly make those who possess them stand out as knowledgeable professionals. 
  • Big Data: Hadoop, MapReduce, HDFS, Spark, and Flink are some technologies used to work with big data. A data scientist should be well-versed in at least one of these technologies to handle big data sets effectively.

Learn Data Science and machine learning with Imarticus Learning.

Students can start their data science careers with this certificate program in data science and machine learning. Students will learn the fundamentals of artificial intelligence, data science, and machine learning through this curriculum and the skills required to apply these concepts in the real world.

 Course Benefits For Learners:

  • This five-month course, developed by IIT faculty members to aid students in understanding data mining and machine learning methodologies, introduces students to Python.
  • India’s best teachers will deliver this data science course live online.
  • Students can lay a solid data science foundation with the aid of our online program.

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

Certification Every Supply Chain And Logistics Management Professional Needs!

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Certification Every Supply Chain And Logistics Management Professional Needs!

Supply Chain Management is an overlooked field but integral to every successful business. Why should you get certified in Supply Chain Management? Because it’ll make your career more valuable and allow you to collaborate with other professionals in the area. 

It will also help you understand how business operations work together on a larger scale so that you can be an effective leader who inspires others and helps them succeed. This post will discuss how to become a successful supply chain analyst.

What is Supply Chain Management?

Supply chain management is a process of planning, implementing, and controlling the flow of goods from the point of origin to the point of consumption. It is also known as supply chain management (SCM).

Supply chain management can be described as a critical component in business strategy because it provides an effective means for companies to manage their businesses effectively while meeting customer needs.

Businesses rely on their suppliers when they need products or services at competitive prices. This relationship between buyer and seller enables both parties to achieve mutual goals such as cost reduction, product quality improvement, and innovation.

Why is SCM important in today’s business environment?

  • SCM helps create and manage the supply chain for any company, large or small.
  • The role of SCM in the supply chain is to ensure that materials are delivered on time, safely, and efficiently from the source through distribution centers to end customer locations. 
  • This process can get broken down into three main components: 
  • Procurement (buying) 
  • Production/Manufacturing (making/producing) 
  • Shipping/Transportation (moving goods).
  • The role of logistics management is responsible for coordinating these activities so they occur at an optimal level with minimal disruptions along the way – meaning there are no bottlenecks in production lines due to insufficient quantities available at one point during processing; no late deliveries causing customers’ orders not being delivered on time.

Why should you be certified in Supply Chain Management?

  • It’s a great way to stand out from the crowd.
  • You’ll show that you are committed to your career.
  • Certification will help you get a job, a promotion, and earn more money!

mBA online courses

With various supply chain management online training available, picking a course based on your current position and future career goals is critical. Verifying your eligibility for the programs you’re interested in is part of the selection process.

After enrolling in the course of study and incorporating on-the-job training, the only thing left is passing the certification exam. You can include a certification on your resume once you’ve obtained it. 

As we’ve discussed, SCM is a crucial element of today’s global supply chain operations, but it’s not just about managing inventory or logistics. It’s also about creating efficient processes that help companies achieve their goals in the most cost-effective way possible.

Explore a Career in supply chain management with Imarticus Learning

Choosing the best certification in Supply Chain And Logistics Management Professional course will help managers make tactical, operational, and strategic decisions.

Course Benefits For Learners:

  • Prepare yourself to contribute to the future creation of more tactical and innovative global supply chains by integrating traditional supply chain online courses with data-driven decision-making. 
  • After completing the IIT supply chain analyst course, students can start preparing for in-demand careers as demand planners or data scientists!
  • Python teaches students to be data-centric, which will help them make better supply chain decisions.

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

How I learned computer vision quickly in 2022

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How I learned computer vision quickly in 2022

In 2022, computer vision comes under one of the most sought skills in the industry. It is a field of AI that deals with how computers can interpret and understand digital images. As a result, many businesses are now turning to computer vision to solve various tasks such as product identification, and image recognition.

Learning computer vision is no easy task. It can take extensive practice to become an expert in the field. However, with the right tools, you can learn it quickly! In this post, I am sharing with you my personal experience of how I learned computer vision quickly in 2022.

How I learned computer vision quickly?

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I started by enrolling in a course on AI and machine learning. This course was crucial in helping me understand the basics of computer vision. It also gave me a strong foundation to help build my further knowledge. In addition to the course, I also used online resources such as tutorials and articles. These were extremely helpful in consolidating my understanding of the concepts. I recommend using these resources if you want to learn computer vision quickly.

And last but not least, I practiced A LOT! I spent hours upon hours trying out different computer vision algorithms and implementations. This allowed me to gain a deep understanding of how computer vision works. It also helped me develop my own intuition for solving problems.

What skills do you need to be successful in computer vision?

To be successful in computer vision, you will need certain skills. Here are some of the skills you need to learn:

  • Image processing: This involves understanding how to process digital images. You must know how to convert images into digital formats and how to manipulate them. 
  • Feature extraction: This is a process of identifying important characteristics in an image. These characteristics can be used to identify objects or people in the image. 
  • Pattern recognition: This is the ability to identify patterns in images. This skill is important for tasks such as object recognition and facial recognition. 
  • Deep learning: This is a type of machine learning that is becoming increasingly popular in computer vision. Deep learning allows computers to learn by example. This means that you can train a computer to recognize objects by showing it examples of images with those objects. 
  • Programming: You will need to be able to write code in order to implement computer vision algorithms. Python is a popular language for computer vision, but other languages, such as C++ and Java, are also commonly used.

That’s set. These are some of the skills you need to learn in order to become proficient in computer vision. If you want to learn computer vision quickly, I suggest that you focus on mastering these skills.

Discover the Deep Learning certification course with Imarticus Learning.

Imarticus Learning’s course on AI and machine learning is the perfect course to start your journey. The course covers all the important concepts and skills you need to know. It also provides hands-on projects to help you apply your knowledge.

 Course Benefits For Learners:

  • Students tackle 25 real-world projects—preparing them for rewarding careers in the data science field.
  • By earning a certificate from the E & ICT Academy, based at IIT Guwahati, and supported by Imarticus Learning, students can demonstrate their skills to employers.
  • Students who complete this IIT AIML course are well-qualified for jobs in the machine learning and artificial intelligence sectors.

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

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INTRODUCING CERTIFICATION IN ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN COLLABORATION WITH E & ICT ACADEMY, IIT GUHAWATI AND IMARTICUS LEARNING

Even a beginner can learn python online: Here’s how

Posted on by Imarticus Learning

Even a beginner can learn python online: Here’s how

When you’re just starting out in the world of coding, the syntax of other languages might be incredibly intimidating. Python, on the other hand, with its simple setup and readability, encourages you to think like a programmer and saves you time in constructing a large syntactic format. Amazing as it is, typing and compiling code in this language is like a breeze because of its straightforward syntax. If you want to learn python online, you must know that it has never been easier than now.

How should you start to learn Python?

Learn the Syntax

Identifiers and Keywords in Python

  • Identifiers: Classes, functions, variables and other programmatic constructs are all given unique names, known as identifiers. It is useful for setting apart distinct things in the world. The names of Python objects such as variables, functions, classes and modules are called identifiers. Any character from a to z, or the underscore (_), may serve as the first character of an identifier, which may then be followed by a combination of letters, numerals, and/or additional underscores (0 to 9). Names in Python cannot include any punctuation, including @, $, or %.
  • Keywords: Python’s equivalent of words that are reserved are called ‘keywords’. In other words, we can’t use a keyword in any way that would make it an identifier (such as a variable or function name). They serve as the foundation for the Python language’s grammar and organisation. Python is case-sensitive when it comes to using keywords. In Python 3.7, you’ll find a total of 33 different keywords. This figure is subject to minor changes over time.

Indentations in Python

The spaces at the start of a line of code are called indentation. Python places an emphasis on proper indentation, which is mostly superficial in other languages. Python code blocks are denoted by indentation. Hence there is no need to use ‘{’ and ‘}’ to define blocks of code.

Python Data Types

  • Numerical data types: Python can handle simple numbers, complex numbers and floating-point numbers. int, float and complex are the Python classes that define them.
  • Sequence data types: With Python, lists are one of the most flexible ways to interact with several data items simultaneously.

Python’s tuple data structure may be thought of as a list. While we may modify list items after they have been assigned, tuple elements cannot be modified after the assignment.

  • String data type: In computing, a string refers to a sequence of characters. A Python string is a set of Unicode characters. Unicode was created so that every character from every language may be encoded consistently and reliably.
  • Mapping data type: In Python 3.7 and beyond, a dictionary is an organised list of elements. A dictionary stores information as a key/value pair for each entry. This is because dictionaries are designed to provide results after the key has been determined.

Flow Control in Python

In programming languages, decision-making statements determine the course of programme execution. The ‘if’, ‘elif’ and ‘else’ statements are used to make decisions in Python.

Loops in Python

In certain cases, you may want to run the same piece of code several times. Languages’ varied control structures enable more complex execution routes. Python ‘while’ and ‘for’ loops make it easy to manage looping situations.

Functions in Python

A function is a collection of connected instructions that may be used again and again to accomplish a certain task. Your programme will benefit from the increased modularity and increased code reuse made possible by functions. It is common knowledge that in addition to Python’s numerous predefined functions like print(), you may also write your own. User-defined functions are the common term for such functions.

Create Projects

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Python is not always easy to learn. Reading a book might help you understand the material, but putting it into practice can be difficult. Worse, you might spend a lot of time studying syntax just to get bored or lose interest. Making Python projects improves your odds of success. That way, you are able to put your skills to the test in a realistic setting.

Conclusion

Getting started with Python is simple, and after you’ve mastered the language, you’ll be well-positioned to pursue a rewarding career in the expanding field of data science and analytics. Better still, you’ll be in high demand as a professional since new uses for AI mean a higher need for Python programmers. 

If you are a person who is intrigued by the domain of data science and data analytics, you should definitely consider the best data analytics certification course brought to you by Imarticus. The Post Graduate Program in Data Analytics & Machine Learning is an extremely comprehensive course to learn data analytics. So enrol right now and do not miss this opportunity to be an asset to the corporate.

IIT Roorkee’s machine learning certification is a top data science course

Posted on by Imarticus Learning

IIT Roorkee’s machine learning certification is a top data science course

While selecting a career for your future, it is a must to enquire about it before proceeding any further. The research will show you the statistics related to it. From there you can understand the present scenario of that particular field and its growth projections. 

To make your research work easy, we have already found one of the best career options for you. It will be an ideal choice for an individual to pursue a career in data science, especially looking at its future growth. According to the Bureau of Labor Statistics, a career in data science is projected to grow 22% between 2020 and 2030. Thus, data science becomes a good career option for you to accomplish your life goals. 

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After you get clarity about moving forward in data science or acquiring some essential industry expertise in machine learning, then the next step is to choose an appropriate course. For that too, we have your back, as we have already found an IIT data science certification course, a perfectly designed course to transform you into a desired professional. 

This 5-month data science online training program has the ability to build a robust foundation for you in the field of data science and machine learning. Now, let us know what all you will get to learn through this IIT data science certification course;

Languages and Tools Covered

In the course of this program, you will be taught everything related to data science and machine learning. Most importantly, proper knowledge of some programming languages and tools is essential in this field. So, here are some of those languages and tools, which will be covered during your data science online training.

  • Python
  • SQL
  • NLTK
  • Pandas
  • NumPy
  • Tableau
  • Matplotlib
  • Scikit-Learn

Career Benefits

One must look for the benefits of a course they are going to pursue in order to compare it with others and to understand what they are getting in return. So, here are some add-ons on the IIT data science certification course that you must be aware of.

  • Resume Building- After completing this data science online training, you will be rewarded with a certificate. It will be issued by y iHUB DivyaSampark @ IIT Roorkee, Department of Science & Technology (DST) and Imarticus Learning. Therefore, you can add this certification by nationally recognised bodies to your resume to enhance it and stand out from the rest. 
  • Career Monitoring- During the program, you will get mentorship from industry experts and members of the IIT faculty. They will also help you in shaping your career in the right direction. 
  • Mock Interviews- This course is not just about understanding the working system of data science, but it is a lot more than that. Here you will also be mentored for mock interviews that come next in your journey. You will be shaped into a professional, no one can reject. 
  • Peer Meet- This data science online training does not take your chance of meeting your peers from it. On the contrary, it offers a 2-day campus immersion where you get the chance to communicate with the faculty from IIT and other learners. 
  • Startup Funding Programs- The list of benefits does not end here. This IIT data science certification course also helps learners pitch their startup ideas and get investments or support. This course supports your dreams and empowers you in pursuing them. 

Hands-on Real-World Projects 

Practical knowledge is as necessary as having a theoretical understanding. That’s why this course is a perfect fit for you. Here you get an opportunity to work on real-world projects, and case studies that will teach you technical skills in data science and machine learning fields. 

  • Property Price Prediction
  • Forecasting Sales of Furniture Products
  • Heart Disease Prediction
  • Vaccine Usage Prediction
  • Taxi Fare Prediction
  • E-commerce Customer Segmentation

Conclusion

According to the U.S Bureau of Labor Statistics, there are about 13,500 job openings for data scientists each year. That means, there are quite a good number of opportunities available, and one just needs the correct set of skills to get those job positions. Therefore, choosing an appropriate course is not only an essential part but also the first stage of your career foundation. A lot of your future depends on the study program you choose. So, always be aware of the course you are getting into. 

Here, in this IIT data science certification course, the experts aim to develop you into a professional that has data mining insights and the ability to help businesses make the right decisions for growth. At the end of this course, you will have solid skills in machine learning with Python and data science.

For more information about this data science online training, you can contact us right away. Your future awaits you to make the correct decision. 

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