There are quite a few courses on AI and ML available nowadays as Machine Learning and Artificial Intelligence are disrupting many markets across the globe. These courses have a strong root in statistics that is applied to an endless array of avenues and verticals. Every industry and application takes the help of machine learning to make it more efficient and intelligent. A few areas that see machine learning being used every day are spam filtering, chatbots, search engines, fraud detection, and more. Some of the best courses available for artificial intelligence and machine learning are:
Coursera - Machine Learning
This is one of the best artificial intelligence and machine learning courses online that was created by a team of AI scientists to pique the interests of anyone in the different areas of AI and ML. The course utilizes the programming language Octave for its assignments instead of Python or R which is a simpler way to understand the fundamentals of machine learning for any beginner. The course material is intuitive, well-rounded, and articulated by Ng with every algorithm, calculus, and linear algebra explained in detail. The course costs $79 and provides a certificate on its completion in eleven weeks.
Google AI - Machine Learning Crash Course
This is one of the few courses on AI and ML that is offered free through the Google AI Education platform. It offers a mixture of videos, articles, and interactive content to cover topics that help solve problems that arise in ML implementation and control. Python and TensorFlow are used as the programming languages for it and every main section provides an interactive Jupyter notebook. The course runs through a series of lectures in the form of videos and articles that are straightforward and allow one to progress at their own pace of learning.
EdX - Machine Learning
This is one of the many advanced artificialintelligence and machine learning courses online that requires candidates to have a firm grasp of Mathematics. The course needs participants to have advanced-level skills in calculus, programming, probability, linear algebra, and more. The assignments are in Octave and Python but do not teach the language. The course covers a huge amount of probabilistic approaches to handle problems faced in machine learning. The course costs $300 and provides certification at its completion.
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