Best Online Machine Learning Courses

Today, machine learning is among the most fast paced and interesting fields of computer science. There is a long list of industries and applications that use machine learning to make them more intelligent and efficient. Spam filtering, search engines, chatbots, image and video manipulation, etc… are some real-life examples where machine learning models are used. And, if you want to take up some of the world’s best online courses for machine learning, then you could consider platforms such as Coursera, edX, Skillshare, Udacity for some of the best online courses and programs for machine learning.

Let’s take a look at the very best online courses for machine learning you can take today and find the perfect one for your needs and skill level.

Machine Learning – Andrew Ng (Coursera)

First on my list of the best online course on machine learning is the course from Stanford University and is available on the Coursera platform.

The Machine Learning course is taught by Andrew Ng, Founder & CEO of Landing AI, Co-founder of Coursera, Adjunct Professor at Stanford University and former founding lead of Google Brain and Chief Scientist, Baidu. The course can be completed in 56 hours.

In the Machine Language class, you’ll learn the most effective techniques of machine learning and also how to implement these techniques to new problems practically. The course offers a broad introduction to the concepts of machine learning, statistical pattern recognition and data mining.

Machine Learning with Python – IBM (Coursera)

This is an intermediate-level course offered by IBM and can be completed in 15 hours. The course is taught by Sayeed Aghabozorgi, Ph.D., Sr. Data Scientist, IBM. Machine Learning with Python is available on the Coursera platform and covers machine learning basics using Python.

In the course, you will learn about the use of machine language and its application in the real world. You will also get an overview of other topics like supervised/unsupervised learning, machine learning algorithms and model evaluation. You also learn with real-life examples and see how machine learning affects society.

On completing the course, you get a certificate in machine learning that you can share offline, online, on social media and your LinkedIn profile along with an IBM digital badge. The course is available for a subscription of just $39 per month, which gives you access to the graded materials and the course certificate.

The Machine Learning with Python course is part of many other programs and the course can be applied to other Professional Certificate or Specialization programs. Completing the course will contribute towards learning of other programs such as IBM Artificial Intelligence and IBM Data Science.

Machine Learning Using SAS Viya – SAS (Coursera)

Machine Learning Using SAS Viya is an intermediate-level course, which is offered by SAS and is available on the Coursera platform—it can be completed in 22 hours. The course is taught by Jeff Thompson, Senior Analytical Training Consultant and Catherine Truxillo, Director, Analytical Education.

The course provides a theoretical basis for various techniques that are associated with supervised machine learning concepts. The course includes a business case study that makes use of exercises and demonstrations to reinforce concepts and how to use an analytical approach to solve business problems. The course makes use of Model Studio in SAS Viya to prepare, create, compare and deploy analytics models and the SAS applications enable you to learn machine learning without any coding or programming.

Advanced Machine Learning Specialization Certificate – HSE & Yandex (Coursera)

The course is an advanced-level Specialization available on the Coursera platform and is in English along with Spanish, Korean and English subtitles. The specialization is taught by several faculty members from HSE and Yandex.

The specialization provides an introduction to reinforcement learning, deep learning, computer vision, natural language understanding and Bayesian methods. The course includes experience sharing by top CERN scientists and practitioners of Kaggle machine learning. On completing the 7 courses in the Specialization, you will be able to understand the caveats of the real-world settings and data and apply machine learning methods to modern enterprise scenarios.

Mathematics for Machine Learning Specialization – Imperial College of London (Coursera)

This is a beginner-level Specialization offered by the Imperial College of London and is available on Coursera. The Specialization will take around 2 months to complete and is taught by faculty from the Imperial College and Dyson School of Design Engineering.

The Specialization aims at bringing you up to speed on mathematics and helps to build an intuitive understanding of the same and relate the maths to data science and machine learning. At the end of the Specialization, you will gain sufficient knowledge of maths to take up more advanced courses in machine learning. The Specialization comprises three courses.