Essential Tools for Deep Learning and Data Science

Learn the most important tools in the repertoire of a data scientist and machine learning practitioner – Principal Component Analysis (PCA), Singular Value Decomposition (SVD), and Latent Semantic Analysis (LSA) – with the help of Krishnendu Chaudhury.

Working with Symbolic Expressions

From Math for Programmers by Paul Orland

This article covers

●      Modeling algebraic expressions as data structures in Python

●      Writing code to analyze, transform, or evaluate an algebraic expression

●      Building a data structure from elements and combinators

Understanding the Math Behind the Algorithms

From Math and Architectures of Deep Learning by Krishnendu Chaudhury

Learn the Math You Need for Today’s Hottest Careers!

From Math for Programmers by Paul Orland


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