Mathematics for Machine Learning
- ISBN-10
- 1108679935
- ISBN-13
- 9781108679930
- Category
- Machine learning
- Language
- English
- Published
- 2019-12
- Authors
- Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong
Description
Distills key concepts from linear algebra, geometry, matrices, calculus, optimization, probability and statistics that are used in machine learning.
Get the book
Other editions
Similar books
-
Hands-On Mathematics for Deep Learning: Build a solid mathematical foundation for training efficient deep neural networks
By Jay DawaniThis book uses Python libraries to help you understand the math required to build deep learning (DL) models. You'll begin by learning about core mathematical and modern computational techniques used to design and implement DL algorithms.
-
Math for Deep Learning: What You Need to Know to Understand Neural Networks
By Ronald T. KneuselMath for Deep Learning provides the essential math you need to understand deep learning discussions, explore more complex implementations, and better use the deep learning toolkits.
-
Mathematics and Programming for Machine Learning with R: From the Ground Up
By William B. ClasterHighlights of the book include: More than 400 exercises A strong emphasis on improving programming skills and guiding beginners to the implementation of full-fledged algorithms Coverage of fundamental computer and mathematical concepts ...
-
Linear Algebra and Optimization for Machine Learning: A Textbook
By Charu C. AggarwalThis textbook introduces linear algebra and optimization in the context of machine learning. Examples and exercises are provided throughout this text book together with access to a solution’s manual.
-
Data Science and Machine Learning: Mathematical and Statistical Methods
By Dirk P. Kroese, Thomas Taimre, Zdravko BotevThis book fills a sorely-needed gap in the existing literature by not sacrificing depth for breadth, presenting proofs of major theorems and subsequent derivations, as well as providing a copious amount of Python code.
-
Machine Learning Math: A Complete Guide to Machine Learning for Beginners with Tensorflow. This Book Explains How to Build Artificial...
By ML and AI AcademyAre you looking for a complete guide of machine learning? Buy it NOW and let your customers get addicted to this awesome book!
-
Machine Learning: An Applied Mathematics Introduction
By Paul WilmottThis resource covers the essential mathematics behind all of the following topics: K Nearest Neighbours; K Means Clustering; Na-ve Bayes Classifier; Regression Methods; Support Vector Machines; Self-Organizing Maps; Decision Trees; Neural ...
-
Math and Architectures of Deep Learning
By Krishnendu ChaudhuryPurchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
-
Machine Learning Mathematics: Study Deep Learning Through Data Science. How to Build Artificial Intelligence Through Concepts of Statistics, Algorithms, Analysis...
By Samuel HackMaster the World of Machine Learning - Even if You're a Complete Beginner.Are you an aspiring entrepreneur? Are you an amateur software developer looking for a break in the world of machine learning? Then this is the book for you.
-
Math for Machine Learning: Open Doors to Data Science and Artificial Intelligence
By Richard HanThis book explains the math behind machine learning using simple but concrete examples.