Delivery: Can be download immediately after purchasing. For new customer, we need process for verification from 30 mins to 12 hours.
Version: PDF/EPUB. If you need EPUB and MOBI Version, please contact us.
Compatible Devices: Can be read on any devices.
[*] 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
Book Description
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.
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
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.
This is a digital product.
Designing Machine Learning Systems with Python 1st Edition is written by David Julian and published by Packt Publishing. The Digital and eTextbook ISBNs for Designing Machine Learning Systems with Python are 9781785880780, 1785880780 and the print ISBNs are 9781785882951, 1785882953.

Above the Fold, Revised Edition eBook
Word 2007 eBook
Access 2007 eBook
Murach's SQL Server 2016 for Developers eBook
Powerpoint 2007 eBook
70-740 Installation, Storage, and Compute with Windows Server 2016 eBook
Microsoft Office Publisher 2007 Step by Step eBook
Microsoft Office Excel 2007 Step by Step eBook
Bring Your Own Devices (BYOD) Survival Guide eBook
Information Technology for Management: On Demand Strategies for Performance, Growth and Sustainability, Enhanced eText eBook
Microsoft Office Word 2007 Step by Step eBook
Mastering Risk and Procurement in Project Management eBook
The Complete Project Management Office Handbook eBook
Excel 2007 eBook
Microsoft Office Access 2007 Step by Step eBook
The Age of Surveillance Capitalism eBook
The Age of Surveillance Capitalism eBook
Furrow, Greaney, Johnson, Jost and Schwartz Health Law eBook
New Perspectives Microsoft Office 365 & Access 2016: Comprehensive eBook
Legal Ethics eBook
Los actuales cambios sociales y laborales: nuevos retos para el mundo del trabajo eBook
Abrams, Doernberg and Leatherman's Federal Corporate Taxation, 7th (Concepts and Insights Series) eBook
Bronx D.A.: True Stories from the Domestic Violence and Sex Crimes Unit eBook
Transnational Law and Practice eBook
Feldman's Government Contracts in a Nutshell, 6th eBook
Appropriate Dispute Resolution eBook
Human–Computer Interaction eBook
Introduction to Sport Law With Case Studies in Sport Law-2nd Edition eBook
Mitchell and Klein's American Courts Explained: A Detailed Introduction to the Legal Process Using Real Cases eBook
Blood in the Water eBook
ggplot2 eBook
Microsoft Office - Integration eBook
Pocket Guide to Legal Ethics eBook
Casenote Legal Briefs for Criminal Procedure Keyed to Dressler and Thomas eBook
Shelly Cashman Series Microsoft Office 365 & Access 2016: Comprehensive eBook
Handbook of Scheduling eBook
Media Coverage of Crime and Criminal Justice eBook
Dynamics 365 for Finance and Operations Development Cookbook - Fourth Edition eBook
Microsoft Office Excel 2007 Visual Basic for Applications Step by Step eBook
Invitation to Public Speaking Handbook eBook 


Reviews
There are no reviews yet.