Top 5 Machine Learning Courses for 2020 - A Complete Guide and Review

By Ravi Kiran | 23rd October, 2020 | 10 min Read

Are you someone who heard the terms machine learning and data science and are fascinated to know what they are about? Do you already have basic knowledge and would like to dig deeper into this field? Or are you an expert and would like to further enhance your technical knowledge to give tough competition to your fellow competitors and colleagues? No matter what level of a learner you are, this article is for you!

what is MOOC  and mooc stands for massive open online courses

According to statistics from kaggle, 32% of full time data scientists working in various organisations started machine learning or data science careers through MOOCs and 27% of the professionals were self taught. These numbers certainly indicate the importance of doing a MOOC in machine learning and data science. The demand for machine learning engineers and data scientists is increasing everyday and the number of skilled people is unable to meet this demand. Now is the right time for you to start enhancing your knowledge in these fields.

Continue reading this article to know more about the top online courses and specializations.

Advantages of mooc courses

Courses for Machine Learning on Coursera:

courses for machine learning on coursera

source: coursera.com

1) Machine Learning by Stanford University :

This course is designed for beginners and it is a perfect course to start learning ML for any beginner irrespective of their background or prior experience. Andrew NG, professor of Stanford University and co-founder of coursera is the course instructor for this machine learning course. The course covers topics such as Supervised ML algorithms, Neural Networks, Unsupervised ML algorithms and numerous applications of Machine Learning in academia and industry. This course has been rated 4.9/5 by 35k people and by far the most trending ML course in Coursera. Anyone who has taken up an introductory programming course before on C,C++,Java,Python or Matlab can take up this course.

2) Machine Learning Specialization by Washington University:

This ML course is intended for Computer Science Engineering students or non Computer Science people who have decent experience in ML or other CS related fields.Throughout the specialisation, there are practical case studies that help you to understand concepts such as prediction,classification, clustering and information retrieval. The course is taught by leading researchers from the University of Washington, USA. This intermediate level specialisation is rated 4.8 out of 5 .

The course can be completed as per your flexibility and costs Rs 3589 per month.

3) Machine Learning for ALL :

This course is designed for absolute beginners in Machine Learning and has a rating of 4.7/5 by just 299 people. The cover covers theoretical concepts of machine learning without the need of any programming. This is suitable for beginners who want an understanding of the subject but have no familiarity with coding. If you are in managerial roles in a company but do not have any technical knowledge in machine learning this course gives you a better understanding of ML so that you can have a smoother interaction with your team.

You can take the entire certified course for Rs 2124/-.

4) Advanced Machine Learning :

This is an advanced level specialisation and is suitable for people who have prior research experience in ML or are industry professionals in ML. The specialisation includes 7 courses and is offered by National Research University higher school of economics. The courses give an introduction to topics such as deep learning, reinforcement learning, natural language understanding and computer vision. Top Kaggle machine learning practitioners and CERN scientists will share their experience of solving real-world problems in the lecture videos which helps you gain much deeper insight on the ongoing industry practices and also help you fill the gap between theory and practice.

The course can be completed as per your flexibility and costs Rs 3589 per month.

Best Machine Learning courses on Edx:

best machine learning courses on Edx

source: www.edx.org

1) Professional Certificate in Computer Science for AI :

This specialization is taught by the senior most computer science professors of Harvard University. This is an intermediate level course suitable for students pursuing computer science engineering or non computer science students who have basic coding knowledge. This specialisation covers concepts from the utmost basics and is useful to crack internship and job interviews.

The entire specialization can be yours for Rs 19,154 which includes certificate of completion.

2) Machine Learning with Python: A Practical Introduction:

This course is an Introductory level course which is a very good choice with people who have no idea about ML. This covers topics such as supervised and unsupervised ML algorithms, k-means clustering,real-life examples of the different ways in which machine learning affects our society. Before you want to go deeper into any other subject of ML, this course is a must and should for you.

You can add a verified certificate for Rs 2,872/-

3) Data Science Machine Learning and Predictions:

This again is an Introductory level course aimed for starters and is taught by some top notch research professors from UC Berkley. The University is known for its quality of education especially in Computer Science and thus the quality of content is never compromised. This course however has two prerequisites. They are: Computational thinking with python and Inferential thinking through simulations which are again meant for starters. Depending upon your skill sets in machine learning, the pre requisite courses may or may not be done before you start this course.

You can add a verified certificate for Rs 14,655/- The high price apart, this course is certified by UC Berkley and immensely strengthens one’s profile.

4) Professional certificate in data science by Harvard University:

This specialisation covers 9 courses in total. Throughout this specialisation, you will learn R programming fundamentals, basics of probability, implement machine learning algorithms and get familiar with tools such as Unix/Linux, git and GitHub, and RStudio. These skills are extremely essential to survive in the industry today. This specialisation includes a capstone project which strengthens your profile. This is an intermediate level specialisation and can be taken up by anyone who has a little programming experience in python,matlab or R.

The entire specialisation with a verified certificate can be purchased for Rs 32,542.

Students enrolled in Harvard Data science specialization

5) Artificial intelligence Micromasters program:

This program is for robotics enthusiasts who want to integrate their knowledge on ML and AI to robotics. The applications of ML in robotics are indefinite and there are a lot of startups and organisations hiring freshers in this field. The course is suitable for people with a decent prior experience in ML or robotics. After successful completion of this specialisation, one is eligible to apply to masters in computer science program at Columbia University, one of the topmost research Universities in the world.

The entire specialisation with a verified certificate can be purchased for Rs 72,347.

Best Machine Learning courses on Udemy:

machine learning course Udemy

source: www.udemy.com

1) Machine Learning A-Z Hands on Python and R in Data Science:

This course can be taken up by beginners and intermediate level learners who have a basic knowledge on ML and want to advance further in this field. The prerequisites for this course include basic concepts of high school level mathematics. No prior experience of coding is needed so don’t be worried if you do not know even the basics of coding. In this course you will learn topics such as supervised and unsupervised learning algorithms, Neural networks, dimensionality reduction and many more. The course is packed with practical examples of real world applications of ML. Kirril Eremenko, an experienced data scientist who has over five years of experience in the industry, is the course instructor. This course has been rated 4.5 out of 5 and more than 14 lakhs students are enrolled under this instructor.

This certified course costs Rs 455/-

2) Complete Machine Learning and Data Science : Zero to Mastery:

This course again is an excellent course for beginners. This is a newly launched course that includes all the concepts of Mathematics and Machine Learning required for a beginner to start off with ML. It specifically does not need any experience with coding and maths background as everything is taught right from the basics. The instructor of this course is Andre Neogoie and Daniel Bourke, industry experts from Silicon Valley. The graduate students of courses done under these instructors are working in top companies like Google, Tesla and Amazon to name a few.

This certified course costs Rs 455/-

Note - The prices of various courses in udemy keep changing from time to time and you can avail special discounts throughout the duration of the year.

Machine Learning Nanodegree programs on Udacity:

machine learning nano degree programs on udacity

source: www.udacity.com

1) Introduction to Machine Learning with TensorFlow :

This is a nanodegree program that is scheduled for a duration of 3 months. 10 hours per week of effort has to be put in by the student in order to successfully complete this program within the prescribed duration. This program covers topics such supervised, unsupervised machine learning algorithms and also introduces you to deep learning. There are a good amount of challenges and coding exercises for every topic. This program requires a student to have prior experience in python and its libraries such as numpy and scipy, basic knowledge on probability statistics and basics of data structures(not compulsory though). The program real-world projects from the industry, technical mentor support, personal career guidance from experts and can be completed at your own pace.

2) Introduction to Machine Learning with Pytorch:

This is a nanodegree program that is scheduled for a duration of 3 months. This program covers topics such supervised, unsupervised machine learning algorithms and also introduces you to deep learning. This program has the same syllabus as that of the tensorflow program, the only major difference being the tools used to learn and develop the models. There are a good amount of challenges and coding exercises for every topic. This program requires a student to have prior experience in python and its libraries such as numpy and scipy, basic knowledge on probability statistics and basics of data structures(not compulsory though). The program real-world projects from the industry, technical mentor support, personal career guidance from experts and can be completed at your own pace.

Pytorch V/s TensorFlow : Pytorch is preferred by researchers as a deep learning library. Debugging the code is easier in pytorch and is used for fast, hacky solutions and smaller scale models. TensorFlow is typically used by companies and in industries that work on deep learning models. There is no clear answer on which is the better tool over the other. It totally depends on the user. The tool which is more comfortable to develop your ML and deep learning models should be taken up.

3) Machine learning Engineer Program :

This again is a nanodegree program and scheduled for 3 months. The program is meant for advanced machine learning learners and is targeted for those who already have prior knowledge in supervised, unsupervised learning and neural networks algorithms. Intermediate programming experience with python is a must. Knowledge of pytorch is preferable but not compulsory before starting with this program. At the end of this program you will get thorough knowledge on how to package and deploy your models to a production environment and gain practical experience on using Amazon SageMaker to evaluate the performance of your models.

4) AI Programming with python:

This course is the best one for you to start learning Artificial intelligence and ML programming if you have basic programming experience with any of C,C++,Java,matlab,R or python. This program initially introduces you to python programming and its libraries such as Numpy, Anacondas,pandas etc and slowly lays a good foundation about linear algebra, calculus essentials which are required to solve high data set machine learning problems. Neural networks are covered to give a solid foundation on some of the hottest topics of present day AI. On an overall note this course is good for those who wish to gain a good command over implementation of python programming to solve ML problems and get familiar with the utmost basics of the essential mathematics needed for ML.

All the courses in Udacity generally have 3-6 month access. The courses can be done at your own pace and the payment has to be made monthly. The cost is around Rs 19419 per month.

Edureka Machine Learning Courses:

Edureka Machine Learning Courses

source: www.edureka.co

1) Machine learning Engineer Masters Program :

This masters certification course is by far one of the best if you want to start a career in the field of ML or AI. The program has 7 courses and also has a capstone project at the end that includes the concepts covered in all the 7 courses and helps strengthen your profile. This program is suitable for computer science engineering students, professional in industries and non computer science people who have a solid foundation in coding and SQL. The alumni of this masters program are working in kickass companies amazon, google, microsoft,cisco,dell and honeywell. The program is self paced and can be completed according to your convenience. There are personal support managers assigned to you who strive to clarify all your queries and you have lifetime access to the content.

This masters program cost Rs 89,999/- in total and it can be taken with an EMI option.



*Duration- The time to finish the courses varies from person to person. The durations mentioned in the article are just tentative durations. These durations are normally given keeping in mind the average time a person can spend on online courses apart from his daily activities.

*Affiliate Disclaimer - If you click on one of the links mentioned in the article and purchase via our link, it is likely that we will receive some sort of commission at no extra cost to you. The reviews given are our genuine and commissions have no impact on the review.

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