It parallels the combination of theory and applications in Professor Strang’s textbook Introduction to Linear Algebra. This course covers matrix theory and linear algebra, emphasising topics useful in other disciplines such as physics, economics and social sciences, natural sciences, and engineering. The videos focus on practical knowledge more than mathematical or theoretical rigour.Ĭheck here for more details. The AppliedAICourse attempts to teach students/course-participants some of the core ideas in machine learning, data science and AI that would help the participants go from a real-world business problem to a first cut, working and deployable AI solution to the problem. Linear Algebra for Machine Learning By AppliedAICourse The online version of the book is now complete and will remain available online for free.Ĭheck here for more details.
The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular.
Deep Learning Book By Ian Goodfellow and Yoshua Bengio and Aaron Courville The problems with this are that students often lose motivation, don’t have a sense of the “big picture”, and don’t know what they’ll need.Ĭheck here for more details. Typically, in a bottom-up approach, you first learn all the separate components you will be using, and then you gradually build them up into more complex structures. This course is structured with a top-down teaching method, which is different from how most math courses operate. This course is focused on the question: How do we do matrix computations with acceptable speed and acceptable accuracy? Computational Linear Algebra for Coders By fast.ai
This blog by Niklas gives an introduction to the most important concepts of Linear Algebra that are used in Machine Learning.Ĭheck here for more details. Basic Linear Algebra for Deep Learning By Niklas Donges This course by Khan Academy begins with defining and conceptualising what a vector is (rather than starting with matrices and matrix operations like in a more basic algebra course) and defining some basic operations (like addition, subtraction and scalar multiplication).Ĭheck here for more details. That is, rather than first deciding on a lesson then putting illustrations to it for the sake of having a video, almost all projects start with a particular visualisation, with the narrative and storyline then revolving around this image. Essence Of Linear Algebra By 3Blue1Brownģblue1brown, or 3b1b for those who prefer less of a tongue-twister, centres around presenting math with a visuals-first approach. Your newsletter subscriptions are subject to AIM Privacy Policy and Terms and Conditions.
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