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
Автор: Amirsina Torf
Издательство: Instill AI
Год: December, 2020
Язык: английский
Формат: pdf (true)
Размер: 10.18 MB
Whether you want to learn Machine Learning for your work or research or you want to become a master, so the others pay you to do it, you need to know how it works. For knowing how it works, you NEED TO KNOW Linear Algebra, which is the foundation of Machine Learning. BUT Linear Algebra is too boundless! In this book, you will get what is NECESSARY. I have been blogging about Machine Learning for a while and after searching and searching I realized there is a deficiency of an organized book which (1) teaches the most used Linear Algebra concepts in Machine Learning, (2) provides practical notions using everyday used programming languages such as Python, and (3) be concise and NOT unnecessarily lengthy.