Best Machine Learning Courses 2021

Introduction to Machine Learning

Machine Learning is one of the applications of Artificial Intelligence which provides systems and machines the ability to learn and improve from experience without being forthright programmed. Machine Learning is one of the most popular terms in the field of Data Science along with Deep Learning and Artificial Intelligence.

The job trends of the Machine Learning and Machine Learning Engineers are on boom. Artificial Intelligence fields such as Machine Learning and Deep Learning are expected to create 2 million new jobs by 2020. Artificial Intelligence and Machine Learning jobs are well paying and are expected to be future safe.

Today Machine Learning is used in most of the high-level technologies such as self-driving cars, effective Web search, partial speech recognition. Machine Learning is highly used and one of the most trending technologies ever for a decade.

There are various skills required to become a Machine Learning Engineer such as any technical degree in Computer science or related to it. You should also have programming experience in Python, Java, C++, R, etc. Along with all the required skills, there are various responsibilities of a professional Machine Learning Engineer such as research, experiment, and implementation of various Machine Learning Algorithms and tools, analyzing the problem-solving capability, etc.

If you want to become a Machine Learning Engineer but don’t have an idea about the courses, skills, Job role, salary offered then you are at the right place and right time. Just bookmark this page as we are going to cover every detail of Machine Learning in this post of Best Machine Learning Courses 2020.

Top 10 Best Machine Learning Courses

1. Coursera Machine Learning offered by Stanford University

In this Coursera Machine Learning course offered by Stanford University, you will learn about Machine Learning, Datamining, and Statistical pattern recognition. Various topics of Supervised learning such as parametric and non-parametric algorithms, kernels, support vector machines, neural networks, and Unsupervised learning such as dimensionality reduction, clustering, recommender systems, deep learning.

The cost or price of this Coursera Machine Learning course offered by Stanford University is free. 

The Overall duration of this Coursera Machine Learning course is approximately 60 hours.

This course has a comprehensive syllabus which will teach you Machine Learning and it’s concepts from basic to advanced.

Course Details

  Course Duration

Approx 60 hours

  Course Pricing

FREE

  Difficulty

Beginner

  No. of Students Enrolled

3,741,858

  Link of the Course

 CLICK HERE

2. Udacity Become a Machine Learning Engineer Nanodegree Program

This is one of the most popular online Machine Learning courses or Nanodegree programs from Udacity. In this course, you will learn about advanced machine learning techniques and algorithms. There are realistic projects which will help you to gain practical knowledge.

You can enroll and access the entire course for $923.60. However, you can also pay $307.87 per month and access the course part wise.

The Overall duration of the course is 3 months in which you have to dedicate 10hrs per week to the program for learning after enrollment.

This Nanodegree program is in collaboration with Kaggle AWS. There are some prerequisites such as prior knowledge of Python Programming and Intermediate knowledge of Machine Learning Algorithms which are required in this course.

Course Details

  Course Duration

3 Months

  Course Pricing

$923.60

  Difficulty

Intermediate

  Course Rating

4.6 Stars

  Link of the Course

 CLICK HERE

3. Udemy Machine Learning A-Z: Hands-On Python and R in Data Science

It’s one of the best seller Machine Learning courses on Udemy. In this course, you will learn to create Machine Learning Algorithms in Python and R from two Data Science experts. You will also learn to handle advanced techniques like dimensionality reduction.

The price of this Machine Learning A-Z: Hands-On Python and R in Data Science course is $116.49. However, this course is being offered for just $9.44 for a limited time.

This course has 45 sections in which there are a total of 322 lectures. The overall duration of the course is 44h 29m. You can learn at your pace.

The course is packed with various Machine Learning concepts such as Reinforcement Learning, NLP, and Deep Learning. You will also learn to build an army of powerful Machine Learning models and know-how to combine them to solve complex problems.

Course Details

  Course Duration

Approx 45 hrs

  Course Pricing

$9.44

  Difficulty

Beginner

  No. of Students enrolled

707,503

  Link of the Course

 CLICK HERE

4. Coursera Machine Learning with Python offered by IBM

In this Machine Learning with Python course offered by IBM, you will learn the basics and the fundamentals of Machine Learning using Python. This course is divided into two components, in the first components you will learn the fundamentals of Machine learning and it’s used, in the second component, you will learn and get an overview of various Machine Learning topics such as Supervised and Unsupervised learning, model evaluation, and some machine learning algorithms.

The price or cost of this Machine Learning with Python course is free, but you may have to pay for the certifications.

The overall duration of this Coursera Machine Learning with Python course is approximately 22 hours.

The course is 100% online and requires an Intermediate level of knowledge in Python programming. The syllabus of the course per week is as follows – 

1. Introduction to Machine Learning

2. Regression.

3. Classification.

4. Clustering.

5. Recommender Systems

6. Final Project

Course Details

  Course Duration

Approx 22 hrs

  Course Pricing

FREE in Audit Mode

  Difficulty

Intermediate

  No. of Students enrolled

175,395

  Link of the Course

 CLICK HERE

5. edX Machine Learning ColumbiaX

In this edX Machine Learning course offered by Columbia University, you will master the essentials of Machine Learning and algorithms to help improve learning from data without human intervention. You will learn the models and methods applicable in some real-world situations. 

The price of this edX Machine Learning ColumbiaX course is free. However, you may have to pay $249.10 for the complete certification.

The overall duration of this edX Machine Learning Course is 12 Weeks. You have to give 8-10 hours per week for learning after enrollment. This course is Associated with the MicroMasters Artificial Intelligence Program.

In this course, you will study Supervised learning techniques for regression and classification, unsupervised learning techniques for data modeling and analysis, probabilistic versus non-probabilistic viewpoints, optimization and inference algorithms for model learning.

Course Details

  Course Duration

12 Weeks

  Course Pricing

FREE 

  Difficulty

Intermediate

  No. of Students enrolled

152,438

  Link of the Course

 CLICK HERE

6. Udemy Python for Data Science and Machine Learning Bootcamp

This course is created by popular course creator Jose Portilla. In this Python for Data Science and Machine Learning course, you will learn how to use NumPy, Pandas, Seaborn, Matplotlib, Plotify, Scikit-learn, Machine Learning, and TensorFlow.

The price of this Python for Data Science and Machine Learning Bootcamp course is $116.49. However, this course is being offered for just $9.44 for a limited period of time.

This course has 27 sections in which there are a total of 165 lectures. The overall duration of the course is 24h 54m. You can learn at your pace.

This course is really popular on the platform. You will learn new things related to Machine Learning and Data Science such as Logistic Regression, Neural Networks, Support Vector Machines, K-Means Clustering, SciKit-learn for Machine Learning tasks, Pandas for Data Analysis, and some Machine Learning Algorithms.

Course Details

  Course Duration

24h 54m

  Course Pricing

$9.44

  Difficulty

Intermediate

  No. of Students enrolled

398,985

  Link of the Course

 CLICK HERE

7. Udacity Intro to Machine Learning with PyTorch Nanodegree Program

In this Udacity Intro to Machine Learning with PyTorch Nanodegree Program, you will learn foundational machine learning techniques, from data manipulation to unsupervised and supervised algorithms. This Nanodegree program is in collaboration with Kaggle and AWS.

You can enroll and access the entire course for $924.77. However, you can also pay $308.26 per month and access the course part wise.

The Overall duration of the course is 3 months in which you have to dedicate 10hrs per week to the program for learning after enrollment.

Prior knowledge of the Intermediate Python programming language is required for the course. There are various other benefits of the program such as Real-world projects from the industry experts, technical mentor support, personal career coach, and services.

Course Details

  Course Duration

3 Months

  Course Pricing

$924.77

  Difficulty

Intermediate

  Course Rating

4.7 Stars

  Link of the Course

 CLICK HERE

8. Datacamp Machine Learning Fundamentals with Python

This is a complete skill track from Datacamp which will make you learn Machine Learning from Basics to Advance. There are 5 courses overall and they are taught by industry professionals. These courses are loved by learners at thousands of companies. In this course, the following skill track will be available to you –

1. Supervised Learning with Scikit-learn.

2. Unsupervised Learning in Python.

3. Linear Classifiers in Python.

4. Case Study: School Budgeting with Machine Learning in Python.

5. Introduction to Deep Learning in Python.

Datacamp has three different plans as per pricing for any of their courses. You can choose Personal Standard Plan for $12.42/month, Personal Premium Plan for $33.25/month, and Free plan to give a try.

The overall duration of the course is 20 hours. Each of the courses in a track is of 4 hours and is taught by World-class professionals.

The skill track is perfect for beginners to build and enhance their Machine Learning skills and excel in the field of Machine Learning and Artificial Intelligence.

Course Details

  Course Duration

20 hours

  Course Pricing

$12.42/Month

  Difficulty

Beginner

  No. of Students Enrolled

Over 7,000,000 learners

  Link of the Course

 CLICK HERE

 9. PluralSight Understanding Machine Learning with Python

This is a popular practical Machine Learning course. In this course, you will use data to predict future events with the help of Machine Learning. In this course, you will create a Machine Learning prediction solution with the help of Python, Scikit-learn library, and the Jupyter Notebook.

PluralSight has a standard price for three different plans which are Monthly, Annual, and Premium.

In the Monthly plan, you have to pay $20.11 per month to have access to the full course library including over 7,500 courses. In the Annual plan, you will have to pay $165 per annum and have access to courses, paths, and different skill assessments. Lastly in the premium plan, you will have to pay $246.84 per annum and have access to every feature provided by them.

The overall duration of the course is 1h 53m. This course is 4.5 stars rated on the PluralSight platform.

The Author of this course is Jerry Kurata, who is a solution architect at InStep Technologies. After the completion of the course, you will learn how to use Python and the sci-kit-learn library to create various Machine Learning solutions.

Course Details

  Course Duration

1h 53m

  Course Pricing

$20.11/Month

  Difficulty

Intermediate

  Course Rating

4.5 Stars

  Link of the Course

 CLICK HERE

10). 

1. Simplilearn Machine Learning Certification Course

In this Machine Learning certification course offered by Simplilearn, you will explore the concepts of Machine Learning and understand how it is used in the transformation of the digital world. In this course, you will learn all the skills required to become a proficient Machine Learning Engineer.

The cost of this Machine Learning course is $256.33 if you go with the self-paced learning option.

The overall duration of this course is approximately 45 hrs and there is dedicated mentors support from industry experts.

There are more than 25 hands-on exercises and 4 real-life industry projects with integrated labs with the help of which you will gain lots of practical experience. Moreover, the following skills will be covered in the curriculum of the course – 

1. Supervised and Unsupervised Learning.

2. Time series modeling.

3. Linear and logistic regression.

4. Kernel SVM.

5. KMeans clustering.

6. Naive Bayes.

7. Decision tree.

8. Random forest classifiers.

9. Boosting and Bagging techniques.

10. Deep Learning fundamentals.

Course Details

  Course Duration

Approx 45 hrs

  Course Pricing

$256.33

  Difficulty

Intermediate

  No. of Students enrolled

13,528

  Link of the Course

 CLICK HERE

2. Edureka Machine Learning certification using Python

In this Edureak Machine Learning Certification training course, you will gain expertise in various Machine Learning algorithms such as clustering, regression, decision trees, random forest, Q-Learning, and Naive Bayes. This course will also expose you to various concepts of Statistics.

The price of this Edureka Machine Learning certification course is $269.65. However, you can enroll in this course at a discounted price of $229.20 for a limited time offer.

The Overall duration of this Machine Learning certification using the Python course is 6 weeks. This is the instructor-led Machine Learning using Python course with online classes.

There are various Machine Learning and Data Science topics covered in this course. Some of them are – 

1. Data Extraction, Wrangling, and Visualization.

2. Introduction to Machine Learning with Python.

3. Supervised Learning.

4. Unsupervised Learning.

5. Association Rules Mining and Recommendation Systems.

6. Reinforcement Learning.

7. Time Series Analysis.

8. Model Selection and Boosting.

9. Realistic Projects.

Course Details

  Course Duration

6 Weeks

  Course Pricing

$269.65

  Difficulty

Intermediate

  No. of Students enrolled

More than 10,000

  Link of the Course

 CLICK HERE

Best Machine Learning Bootcamps

1. NYC Data Science Academy Data Science with Python: Machine Learning

In this Machine Learning with Python course, you will learn all the basic machine learning methods and Python modules for implementing them.

There are five sessions which will cover – 

1. Simple and Multiple Linear Regressions.

2. Classification methods including logistic regression.

3. Discriminant analysis and naive Bayes.

4. Support Vector Machines and tree-based methods.

5. Clustering Algorithms.

The price of this NYC Data Science Academy Data Science with Python: Machine Learning course is $1890.50. You can enroll in the January Session.

The Overall duration of this Data Science with Python: Machine Learning course is 20 hours. After completing the course you will be able to explain and implement the principle of Machine Learning Algorithms.

Certificates are also awarded at the end of the program and students are evaluated on a fail/pass basis for their performance on the homework and projects.

Course Details

  Course Duration

20 hours

  Course Pricing

$1890.50

  Difficulty

Intermediate

  No. of Students enrolled

Unknown

  Link of the Course

 CLICK HERE

2. 

Springboard Machine Learning Career Track: Become an ML Engineer in six months

Build Job-ready skills, develop a professional portfolio, and launch your dream career with the help of Springboard Machine Learning Career Track: Become an ML Engineer in Six Months Bootcamp. In this course, you will master the foundations of Data Science and choose your focus areas such as Advanced Machine Learning, Natural language Processing, or Deep Learning.

The price of this Springboard Machine Learning Career Track: Become an ML Engineer in Six Months Bootcamp is $2631.17. This course is also one of the AI/ML programs in India with a job guarantee.

The overall duration of this Springboard Machine Learning Career Track: Become an ML Engineer in Six Months Bootcamp is approximately 6 months. It means you will have to dedicate at least 20 hours per week after enrollment.

There are 14 real-world projects in which 2 are industry worthy capstone projects to showcase in your portfolio.

The curriculum of this course is divided into 9 units – 

1. Overview of AI and Machine Learning Engineering Stack.

2. Data Wrangling at Scale and Statistics for AI.

3. Foundations of Machine Learning.

4. A Deep Dive into Deep Learning.

5. AI Case Study 1: Natural Language Processing.

6. AI Case Study 2: Computer Vision

7. Building and Deploying Large Scale AI Systems.

8. Capstone Project.

9. Career Support.

Course Details

  Course Duration

6 Months

  Course Pricing

$2631.17

  Difficulty

Intermediate

  No. of Students enrolled

1200+

  Link of the Course

 CLICK HERE

3. edX Data Science: Machine Learning offered by Harvard University

In this course, you will learn the science behind the popular Data Science techniques and build a movie recommendation system. You will learn popular Machine Learning Algorithms, principal component analysis, and regularization by working on projects.

The price of this edX Data Science: Machine Learning offered by Harvard University course is free. However, you will have to pay $99.05 for the verified certificate.

The overall duration of this edX Data Science: Machine Learning offered by Harvard University course is 8 Weeks. After enrolling, students are required to dedicate 2 to 4 hours per week to the Bootcamp.

Some basic things you will learn in this course – 

● The basics of machine learning

● How to perform cross-validation to avoid overtraining

● Several popular machine learning algorithms

● How to build a recommendation system

● What is regularization and why is it useful?

In this course, you will learn how to use a set of data to discover potentially predictive relationships. You will also learn how to train algorithms using training data for predicting the outcome of future datasets.

Course Details

  Course Duration

8 Weeks

  Course Pricing

FREE

  Difficulty

Intermediate

  No. of Students enrolled

286,680

  Link of the Course

 CLICK HERE

Best Masters/Universities for Machine Learning

1.  University of California – Berkeley

It is a graduate Admission and Degree program. Berkeley EECS graduate programs rank among the top providing one of the best educational experiences anywhere.

2. MIT Graduate Admissions

This program will provide you a higher level of professional competence than required by the leading program of the master’s degree.

3.  Georgia Institute of Technology Specialization in Machine Learning

This is a Specialization in Machine Learning online Master of Science in Computer Science course offered by Georgia College of Tech Computing.

Free Machine Learning Courses for beginners

1. Google Machine Learning Crash Course with TensorFlow APIs

Google Machine Learning Crash Course with TensorFlow APIs is a self-study guide for aspiring Machine Learning practitioners. In this course, you will learn and apply fundamental machine learning concepts and get real-world experience with the companion Kaggle competition.

The price of this Google Machine Learning Crash Course with TensorFlow APIs is free.

The Overall duration of this Google Machine Learning Crash Course with TensorFlow APIs is 15 hours.

There are more than 30 exercises in this course to brush up your concepts and skills. There are 25 lessons in which the lectures will be taught by Google researchers. You will also do a real-world case study to expand your knowledge and explore the full library of training resources.

Course Details

  Course Duration

16 hours

  Course Pricing

FREE

  Difficulty

Beginner

  No. of Students enrolled

Unknown

  Link of the Course

 CLICK HERE

2. Coursera Mathematics for Machine Learning Specialization offered by Imperial College London

In this Mathematics for Machine Learning Specialization course, you will learn about mathematics for applications in data science and machine learning. This course is offered by Imperial College London and is best for beginners who want to master Mathematics for Machine Learning Specialization.

The price of this Mathematics for Machine Learning Specialization course is free. However, you may have to enroll and pay the fees for the verified certification.

The overall duration of this course is approximately 4 months to complete. Students are suggested to dedicate at least 4 to 5 hours per week to the course.

After the completion of the project, you will learn to implement mathematical concepts using real-world data, you will understand how orthogonal projections work, derive PCA from a projection perspective, and Master PCA.

Course Details

  Course Duration

Approx. 4 Months

  Course Pricing

FREE

  Difficulty

Beginner

  No. of Students enrolled

108,386

  Link of the Course

 CLICK HERE

3. Udemy Machine Learning Deep Learning Model Deployment

It is a new and popular Machine Learning course in which you will learn Machine Learning experiments and deployment using MLflow, TensorFlow Serving and extracting weights from PyTorch Models, Creating Serverless REST API for Machine Learning models, and many more things.

The price of this Udemy Machine Learning Deep Learning Model Deployment course is free.

The overall duration of this Udemy Machine Learning Deep Learning Model Deployment course in 1hr 58 min.

This course is perfect for Machine Learning beginners, they will learn a lot of Python basics and Machine Learning model building with Scikit-learn. Additionally, you will also learn how to build and deploy a neural network using TensorFlow Keras and PyTorch.

Course Details

  Course Duration

Approx. 2 hours

  Course Pricing

FREE

  Difficulty

Beginner

  No. of Students enrolled

5,370

  Link of the Course

 CLICK HERE

4. Udacity Machine Learning by Georgia Tech

In this Udacity Machine Learning by Georgia Tech, you will learn the areas of Artificial Intelligence concerned with computer programs that modify and enhance performance through experiences. This course is a part of the Online Masters Degree at Georgia Tech.

The price of this Machine Learning course by Georgia Tech is free of cost and is taught by industry pros.

The Overall duration of this Machine Learning course by Georgia Tech is approximately 4 months and required an intermediate skill level in the field of Machine learning.

This course is divided into two parts, in the first part you will learn about Supervised learning and in the second part, you will learn about unsupervised learning. Lastly, you will learn the reinforcement section in which there are algorithms for designing self-learning agents.

Course Details

  Course Duration

Approx. 4 Months

  Course Pricing

FREE

  Difficulty

Intermediate

  No. of Students enrolled

Unknown

  Link of the Course

 CLICK HERE

5. Coursera Machine Learning with TensorFlow on Google Cloud Platform Specialization offered by Google Cloud

In this Machine Learning with TensorFlow on Google Cloud Platform specialization course, you will learn Machine learning with Google Cloud. You will also perform real-world experimentation with end-to-end Machine Learning. Through this course, you can gain and master various skills such as TensorFlow, Feature Engineering, Cloud Computing, API, Inclusive Machine Learning, Google Cloud platform, Bigquery, and many more.

The price of this Machine Learning with TensorFlow on Google Cloud Platform Specialization course is free.

The overall duration of this Machine Learning with TensorFlow on Google Cloud Platform Specialization course offered by Google Cloud is approximately 5 months. After enrollment students are suggested to dedicate 5 hours per week to the course for learning.

The course has Hands-on Projects which will provide you practical knowledge and experience. There are 5 courses in this series – 

1. How Google does Machine Learning.

2. Launching into Machine Learning.

3. Introduction to TensorFlow.

4. Feature Engineering.

5. Art and Science of Machine Learning.

Course Details

  Course Duration

Approx. 5 Months

  Course Pricing

FREE

  Difficulty

Intermediate

  No. of Students enrolled

72,063

  Link of the Course

 CLICK HERE

Best Machine Learning Books

1. The Hundred-Page Machine Learning Book by Andriy Burkov

This is a very popular Machine Learning Book recommended by top professionals in the industry. This is just a 100-page book and covers all the details and information you need to know about Machine Learning.

CLICK HERE to know more or buy this book.

2. Machine Learning by Tom M. Mitchell

This book covers all the concepts and techniques from various fields of Machine Learning. It also covers recent topics or subjects such as reinforcement learning, genetic algorithms, and inductive logic programming.

This is one of the single source best approach resources of Machine Learning for beginners.

CLICK HERE to know more or buy this book.

3. Pattern Recognition and Machine Learning by Christopher M. Bishop

This is the first textbook on pattern recognition. The book has the approximate inference algorithms that permit fast and approx. answer in situations where exact answers are not feasible. This book also contains an introduction to basic probability theory.

CLICK HERE to know more or buy this book.

4. Natural Language Processing with Python

This book will help you gain theoretical and practical skills in Natural Language Processing using Python and NLTK open source library. This book is best for the beginner who wants to learn NLP with Python too – 

1. Access databases, including treebanks and WordNet.

2. Integrate techniques drawn from fields.

3. Analyze linguistic structure in text.

4. Extract information from unstructured text.

CLICK HERE to know more or buy this book.

5. Understanding Machine Learning from theory to algorithms

In this book, you will learn Machine Learning which is one of the fastest-growing areas of computer science from theory to algorithms and practical. The book covers a wide range of topics and concepts of Machine Learning.

CLICK HERE to know more or buy this book.

Machine Learning Youtube Tutorials

1.  Machine Learning in Python with Scikit-Learn – Data School

2.  Machine Learning Tutorials – Simplilearn

3.  Machine Learning Full Course – Edureka

Machine Learning Blog posts 

1.  GeeksforGeeks Machine Learning

2.  11 Must-Read Medium Stories on Machine Learning

3.  A Beginner’s Guide to Machine Learning

4.  Best Machine Learning Blogs to Follow in 2020

How to choose a good Machine Learning course and became a successful Machine Learning Engineer

Machine learning engineers or Deep learning engineers are becoming popular tech roles as they work on the latest technologies along with getting paid well. Every job role related to Data Science is in-demand and comes with a handsome package.

Machine learning is still one of the highest-ranked skills in the industry. Now, you already know what a Machine Learning engineer does and what skills are required to become a Deep Learning engineer. You need to have experience in the field of software engineering and development as a Machine learning engineer is not an entry-level role.

In this post we have mentioned various courses, you can choose any one of them or more for theoretical as well as practical information as per your requirement. Please keep in mind that you will only understand the concepts clearly if you do practical stuff and projects. The more you work on projects the more your understanding will increase. 

After gaining confidence in your knowledge of Machine Learning, it’s time for you to start your interview preparation. Again some courses can guide you to perform your best in any of the Machine Learning/ Deep Learning interviews. You can also do some specialization courses to get an edge over others.

There are various blog posts, tutorials, Hand-book, and courses on these posts which can help you a lot in becoming a successful Machine Learning Engineer.

The job role of a Machine Learning engineer:

In the Job role of a Machine Learning Engineer there are various responsibilities which are needed to be handled such as to analyze the problem-solving capabilities and use-cases of ML algorithms, rank them by their success probability, to research, experiment with, and implement suitable ML algorithms and tools, to develop Machine Learning apps according to customer requirements, to train and retrain ML systems and models as and when required, etc

Machine Learning job and salaries:

The Job Market for Machine Learning and Deep Learning engineers is ever-growing. These fields are related to Artificial Intelligence and Data Science which is believed to be future technology. Every big MNC’s and even startups are looking for an experienced or well versed Deep Learning or Machine Learning Engineer.

The average salary of a Machine Learning Engineer in the US market is $147,751 (stats are from indeed .com). That’s one of the highest-paid salaries in the overall Information technology industry. 

Deep Learning Engineers are also paid well in different parts of the world. The average salary of a mid-level Machine Learning Engineer in the Indian market is around Rs 6 to 11 LPA. Remember the salary figure can depend upon the skills and the level of experience the individual has.

Conclusion

The technology of Machine Learning helps organizations to improve their functionality, decision-making, and productivity by extracting and manipulating information from large datasets. There are various advantages of Machine Learning such as Timely Analysis and Assessment, Real-time Predictions Made Possible through Fast Processing, and transforming industries.

Having a good practical and theoretical knowledge of Deep Learning and Machine Learning is a must, you can gain it from any of the resources provided here. Salaries of Machine learning Engineers in Indian markets are still higher than the market average.

If you are a Machine learning and Deep Learning enthusiast and love to explore technologies related to Artificial Intelligence then you should definitely try for the role of Machine Learning Engineer. This would be one of the best career options as there are lots of reasons why students should take Deep Learning as one of their career options

FAQs

1. Are all the courses mentioned in these posts free?

No, these are professional courses, some of them are free while others are paid.

2. What is Machine Learning Certifications?

These are the professional certificates only provided to those professionals who have a level of experience, skills, knowledge, and passed the certifications exams.

3. What does a Machine Learning Engineer do?

There are various responsibilities of the Machine Learning Engineer, some of them are studying and converting data science prototypes. Designing and developing Machine learning systems and schemes, training and retraining ML systems and models when required, etc.

4. Why should I choose a Machine Learning Engineer as my career option?

Machine learning engineers have a respected position in the industry. They are paid more than the market average for any other job role. The demand for Machine Learning Engineer is also increasing day by day, so it can be one of the best career options for any of the students as well as professionals.

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