Essential Math for Data Science [Early Release]

Essential Math for Data Science [Early Release]

English | 2019 | ISBN: 9781098115494 | 28 Pages | EPUB | 1.31 MB

Master the math needed to excel in data science and machine learning. If you're a data scientist who lacks a math or scientific background or a developer who wants to add data domains to your skillset, this is your book. Author Hadrien Jean provides you with a foundation in math for data science, machine learning, and deep learning.


[Fast Download] Essential Math for Data Science [Early Release]

Related eBooks:
GMAT Quant Basics by CrackVerbal
Introduction to Differential Geometry of Space Curves and Surfaces
Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning, 2 edit
A Kaleidoscopic View of Graph Colorings
Index Analysis: Approach Theory at Work
Faces of Geometry. From Agnesi to Mirzakhani
Using History to Teach Mathematics: An International Perspective (New Mathematical Library)
Mathematical Modeling in Mechanics of Granular Materials
Finite Mathematics for the Managerial, Life, and Social Sciences, 10th edition
Algebraic Multiplicity of Eigenvalues of Linear Operators
A Guide to the Classification Theorem for Compact Surfaces
Linear Logic in Computer Science
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.