Mathematics for Machine Learning
  • Author : Marc Peter Deisenroth
  • Release Date : 31 March 2020
  • Publisher : Cambridge University Press
  • Genre : Computers
  • Pages : 398
  • ISBN 13 : 9781108470049
Ratings: 5
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Book Description: Distills key concepts from linear algebra, geometry, matrices, calculus, optimization, probability and statistics that are used in machine learning.

Mathematics for Machine Learning

Mathematics for Machine Learning

Author : Marc Peter Deisenroth,A. Aldo Faisal,Cheng Soon Ong
Publisher : Cambridge University Press
Genre : Computers
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Distills key concepts from linear algebra, geometry, matrices, calculus, optimization, probability and statistics that are used in machine learning....

Mathematics for Machine Learning

Mathematics for Machine Learning

Author : Marc Peter Deisenroth,A. Aldo Faisal,Cheng Soon Ong
Publisher : Cambridge University Press
Genre : Computers
DOWNLOAD

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook ...

Mathematics for Machine Learning

Mathematics for Machine Learning

Author : Marc Peter Deisenroth,A. Aldo Faisal,Cheng Soon Ong
Publisher : Unknown
Genre : Machine learning
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Distills key concepts from linear algebra, geometry, matrices, calculus, optimization, probability and statistics that are used in machine learning....

Introduction to Deep Learning

Introduction to Deep Learning

Author : Sandro Skansi
Publisher : Springer
Genre : Computers
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This textbook presents a concise, accessible and engaging first introduction to deep learning, offering a wide range of connectionist models which represent the current state-of-the-art. The text explores the most popular algorithms and architectures in a simple and intuitive style, explaining the mathematical derivations in a step-by-step manner. The content ...

Hands On Mathematics for Deep Learning

Hands On Mathematics for Deep Learning

Author : Jay Dawani
Publisher : Packt Publishing Ltd
Genre : Computers
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A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architectures Key Features Understand linear algebra, calculus, gradient algorithms, and other concepts essential for training deep neural networks Learn the mathematical concepts needed to understand how deep learning models function Use deep learning for solving ...

Math for Deep Learning

Math for Deep Learning

Author : Ronald T. Kneusel
Publisher : No Starch Press
Genre : Computers
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Math 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. With Math for Deep Learning, you'll learn the essential mathematics used by and as a background for deep learning. You’ll work through Python ...

Deep Learning for Coders with fastai and PyTorch

Deep Learning for Coders with fastai and PyTorch

Author : Jeremy Howard,Sylvain Gugger
Publisher : "O'Reilly Media, Inc."
Genre : Computers
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Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library ...

Optimization for Machine Learning

Optimization for Machine Learning

Author : Suvrit Sra,Sebastian Nowozin,Stephen J. Wright
Publisher : MIT Press
Genre : Computers
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An up-to-date account of the interplay between optimization and machine learning, accessible to students and researchers in both communities. The interplay between optimization and machine learning is one of the most important developments in modern computational science. Optimization formulations and methods are proving to be vital in designing algorithms to ...

Deep Learning Illustrated

Deep Learning Illustrated

Author : Jon Krohn,Grant Beyleveld,Aglaé Bassens
Publisher : Addison-Wesley Professional
Genre : Computers
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"The authors’ clear visual style provides a comprehensive look at what’s currently possible with artificial neural networks as well as a glimpse of the magic that’s to come." –Tim Urban, author of Wait But Why Fully Practical, Insightful Guide to Modern Deep Learning Deep learning is transforming software, ...

The Statistics and Calculus with Python Workshop

The Statistics and Calculus with Python Workshop

Author : Peter Farrell,Alvaro Fuentes,Ajinkya Sudhir Kolhe,Quan Nguyen,Alexander Joseph Sarver,Marios Tsatsos
Publisher : Packt Publishing Ltd
Genre : Computers
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With examples and activities that help you achieve real results, applying calculus and statistical methods relevant to advanced data science has never been so easy Key FeaturesDiscover how most programmers use the main Python libraries when performing statistics with PythonUse descriptive statistics and visualizations to answer business and scientific questionsSolve ...

Grokking Deep Learning

Grokking Deep Learning

Author : Andrew W. Trask
Publisher : Simon and Schuster
Genre : Computers
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Summary Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Purchase of the print book includes a free ...

Statistical Machine Learning

Statistical Machine Learning

Author : Richard Golden
Publisher : CRC Press
Genre : Computers
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The recent rapid growth in the variety and complexity of new machine learning architectures requires the development of improved methods for designing, analyzing, evaluating, and communicating machine learning technologies. Statistical Machine Learning: A Unified Framework provides students, engineers, and scientists with tools from mathematical statistics and nonlinear optimization theory to ...

Mathematics and Programming for Machine Learning with R

Mathematics and Programming for Machine Learning with R

Author : William B. Claster
Publisher : CRC Press
Genre : Computers
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Based on the author’s experience in teaching data science for more than 10 years, Mathematics and Programming for Machine Learning with R: From the Ground Up reveals how machine learning algorithms do their magic and explains how these algorithms can be implemented in code. It is designed to provide readers ...

Basics of Linear Algebra for Machine Learning

Basics of Linear Algebra for Machine Learning

Author : Jason Brownlee
Publisher : Machine Learning Mastery
Genre : Computers
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Linear algebra is a pillar of machine learning. You cannot develop a deep understanding and application of machine learning without it. In this laser-focused Ebook, you will finally cut through the equations, Greek letters, and confusion, and discover the topics in linear algebra that you need to know. Using clear ...