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Download the fantastic book titled The Hundred page Machine Learning Book written by Andriy Burkov, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "The Hundred page Machine Learning Book", which was released on 06 June 2024. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Machine learning genre.

Summary of The Hundred page Machine Learning Book by Andriy Burkov PDF

Provides a practical guide to get started and execute on machine learning within a few days without necessarily knowing much about machine learning.The first five chapters are enough to get you started and the next few chapters provide you a good feel of more advanced topics to pursue.

The Hundred page Machine Learning Book

Detail About The Hundred page Machine Learning Book PDF

  • Author : Andriy Burkov
  • Publisher : Anonim
  • Genre : Machine learning
  • Total Pages : 141 pages
  • ISBN : 9781999579500
  • PDF File Size : 30,9 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

Clicking on the GET BOOK button will initiate the downloading process of The Hundred page Machine Learning Book by Andriy Burkov. This book is available in ePub and PDF format with a single click unlimited downloads.

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The Hundred-page Machine Learning Book

The Hundred-page Machine Learning Book
  • Publisher : Unknown Publisher
  • File Size : 41,8 Mb
  • Release Date : 06 June 2024
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Provides a practical guide to get started and execute on machine learning within a few days without necessarily knowing much about machine learning.The first five chapters are enough to

Machine Learning Engineering

Machine Learning Engineering
  • Publisher : True Positive Incorporated
  • File Size : 34,8 Mb
  • Release Date : 08 September 2020
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The most comprehensive book on the engineering aspects of building reliable AI systems. "If you intend to use machine learning to solve business problems at scale, I'm delighted you got

Grokking Deep Learning

Grokking Deep Learning
  • Publisher : Simon and Schuster
  • File Size : 35,5 Mb
  • Release Date : 23 January 2019
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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

Machine Learning

Machine Learning
  • Publisher : Cambridge University Press
  • File Size : 54,5 Mb
  • Release Date : 20 September 2012
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Covering all the main approaches in state-of-the-art machine learning research, this will set a new standard as an introductory textbook.

Machine Learning in Action

Machine Learning in Action
  • Publisher : Simon and Schuster
  • File Size : 22,9 Mb
  • Release Date : 03 April 2012
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Summary Machine Learning in Action is unique book that blends the foundational theories of machine learning with the practical realities of building tools for everyday data analysis. You'll use the

Machine Learning for Hackers

Machine Learning for Hackers
  • Publisher : "O'Reilly Media, Inc."
  • File Size : 29,9 Mb
  • Release Date : 13 February 2012
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If you’re an experienced programmer interested in crunching data, this book will get you started with machine learning—a toolkit of algorithms that enables computers to train themselves to

Building Machine Learning Systems with Python

Building Machine Learning Systems with Python
  • Publisher : Packt Publishing Ltd
  • File Size : 24,7 Mb
  • Release Date : 01 January 2013
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This is a tutorial-driven and practical, but well-grounded book showcasing good Machine Learning practices. There will be an emphasis on using existing technologies instead of showing how to write your

Deep Learning

Deep Learning
  • Publisher : MIT Press
  • File Size : 22,9 Mb
  • Release Date : 10 November 2016
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An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in

Approaching (Almost) Any Machine Learning Problem

Approaching (Almost) Any Machine Learning Problem
  • Publisher : Abhishek Thakur
  • File Size : 25,5 Mb
  • Release Date : 04 July 2020
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This is not a traditional book. The book has a lot of code. If you don't like the code first approach do not buy this book. Making code available on

Computational Homology

Computational Homology
  • Publisher : Springer Science & Business Media
  • File Size : 28,8 Mb
  • Release Date : 18 April 2006
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Homology is a powerful tool used by mathematicians to study the properties of spaces and maps that are insensitive to small perturbations. This book uses a computer to develop a