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Designing Machine Learning Systems with Python

2016-04-06 Computers
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Release : 2016-04-06
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Kind : eBook
Book Rating : 780/5 ( reviews)

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Book Synopsis Designing Machine Learning Systems with Python by : David Julian

Download or read book Designing Machine Learning Systems with Python written by David Julian. This book was released on 2016-04-06. Available in PDF, EPUB and Kindle. Book excerpt: Design efficient machine learning systems that give you more accurate results About This Book Gain an understanding of the machine learning design process Optimize machine learning systems for improved accuracy Understand common programming tools and techniques for machine learning Develop techniques and strategies for dealing with large amounts of data from a variety of sources Build models to solve unique tasks Who This Book Is For This book is for data scientists, scientists, or just the curious. To get the most out of this book, you will need to know some linear algebra and some Python, and have a basic knowledge of machine learning concepts. What You Will Learn Gain an understanding of the machine learning design process Optimize the error function of your machine learning system Understand the common programming patterns used in machine learning Discover optimizing techniques that will help you get the most from your data Find out how to design models uniquely suited to your task In Detail Machine learning is one of the fastest growing trends in modern computing. It has applications in a wide range of fields, including economics, the natural sciences, web development, and business modeling. In order to harness the power of these systems, it is essential that the practitioner develops a solid understanding of the underlying design principles. There are many reasons why machine learning models may not give accurate results. By looking at these systems from a design perspective, we gain a deeper understanding of the underlying algorithms and the optimisational methods that are available. This book will give you a solid foundation in the machine learning design process, and enable you to build customised machine learning models to solve unique problems. You may already know about, or have worked with, some of the off-the-shelf machine learning models for solving common problems such as spam detection or movie classification, but to begin solving more complex problems, it is important to adapt these models to your own specific needs. This book will give you this understanding and more. Style and approach This easy-to-follow, step-by-step guide covers the most important machine learning models and techniques from a design perspective.

Designing Machine Learning Systems with Python

2016-04-04 Computers
Download Designing Machine Learning Systems with Python PDF Online Free

Author :
Release : 2016-04-04
Genre : Computers
Kind : eBook
Book Rating : 951/5 ( reviews)

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Book Synopsis Designing Machine Learning Systems with Python by : David Julian

Download or read book Designing Machine Learning Systems with Python written by David Julian. This book was released on 2016-04-04. Available in PDF, EPUB and Kindle. Book excerpt: Design efficient machine learning systems that give you more accurate resultsAbout This Book- Gain an understanding of the machine learning design process- Optimize machine learning systems for improved accuracy- Understand common programming tools and techniques for machine learning- Develop techniques and strategies for dealing with large amounts of data from a variety of sources- Build models to solve unique tasksWho This Book Is ForThis book is for data scientists, scientists, or just the curious. To get the most out of this book, you will need to know some linear algebra and some Python, and have a basic knowledge of machine learning concepts.What You Will Learn- Gain an understanding of the machine learning design process- Optimize the error function of your machine learning system- Understand the common programming patterns used in machine learning- Discover optimizing techniques that will help you get the most from your data- Find out how to design models uniquely suited to your taskIn DetailMachine learning is one of the fastest growing trends in modern computing. It has applications in a wide range of fields, including economics, the natural sciences, web development, and business modeling. In order to harness the power of these systems, it is essential that the practitioner develops a solid understanding of the underlying design principles.There are many reasons why machine learning models may not give accurate results. By looking at these systems from a design perspective, we gain a deeper understanding of the underlying algorithms and the optimisational methods that are available. This book will give you a solid foundation in the machine learning design process, and enable you to build customised machine learning models to solve unique problems. You may already know about, or have worked with, some of the off-the-shelf machine learning models for solving common problems such as spam detection or movie classification, but to begin solving more complex problems, it is important to adapt these models to your own specific needs. This book will give you this understanding and more.Style and approachThis easy-to-follow, step-by-step guide covers the most important machine learning models and techniques from a design perspective.

Machine Learning Systems

2018-05-21 Computers
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Release : 2018-05-21
Genre : Computers
Kind : eBook
Book Rating : 363/5 ( reviews)

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Book Synopsis Machine Learning Systems by : Jeffrey Smith

Download or read book Machine Learning Systems written by Jeffrey Smith. This book was released on 2018-05-21. Available in PDF, EPUB and Kindle. Book excerpt: Summary Machine Learning Systems: Designs that scale is an example-rich guide that teaches you how to implement reactive design solutions in your machine learning systems to make them as reliable as a well-built web app. Foreword by Sean Owen, Director of Data Science, Cloudera Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology If you’re building machine learning models to be used on a small scale, you don't need this book. But if you're a developer building a production-grade ML application that needs quick response times, reliability, and good user experience, this is the book for you. It collects principles and practices of machine learning systems that are dramatically easier to run and maintain, and that are reliably better for users. About the Book Machine Learning Systems: Designs that scale teaches you to design and implement production-ready ML systems. You'll learn the principles of reactive design as you build pipelines with Spark, create highly scalable services with Akka, and use powerful machine learning libraries like MLib on massive datasets. The examples use the Scala language, but the same ideas and tools work in Java, as well. What's Inside Working with Spark, MLlib, and Akka Reactive design patterns Monitoring and maintaining a large-scale system Futures, actors, and supervision About the Reader Readers need intermediate skills in Java or Scala. No prior machine learning experience is assumed. About the Author Jeff Smith builds powerful machine learning systems. For the past decade, he has been working on building data science applications, teams, and companies as part of various teams in New York, San Francisco, and Hong Kong. He blogs (https: //medium.com/@jeffksmithjr), tweets (@jeffksmithjr), and speaks (www.jeffsmith.tech/speaking) about various aspects of building real-world machine learning systems. Table of Contents PART 1 - FUNDAMENTALS OF REACTIVE MACHINE LEARNING Learning reactive machine learning Using reactive tools PART 2 - BUILDING A REACTIVE MACHINE LEARNING SYSTEM Collecting data Generating features Learning models Evaluating models Publishing models Responding PART 3 - OPERATING A MACHINE LEARNING SYSTEM Delivering Evolving intelligence

Building Machine Learning Systems with Python

2013-01-01 Computers
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Release : 2013-01-01
Genre : Computers
Kind : eBook
Book Rating : 414/5 ( reviews)

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Book Synopsis Building Machine Learning Systems with Python by : Willi Richert

Download or read book Building Machine Learning Systems with Python written by Willi Richert. This book was released on 2013-01-01. Available in PDF, EPUB and Kindle. Book excerpt: 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 own implementations of algorithms. This book is a scenario-based, example-driven tutorial. By the end of the book you will have learnt critical aspects of Machine Learning Python projects and experienced the power of ML-based systems by actually working on them.This book primarily targets Python developers who want to learn about and build Machine Learning into their projects, or who want to pro.

Designing Machine Learning Systems with Python Complete Self-Assessment Guide

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Kind : eBook
Book Rating : 848/5 ( reviews)

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Book Synopsis Designing Machine Learning Systems with Python Complete Self-Assessment Guide by : Gerardus Blokdyk

Download or read book Designing Machine Learning Systems with Python Complete Self-Assessment Guide written by Gerardus Blokdyk. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt:

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