Designing Machine Learning Systems With Python

Designing Machine Learning Systems With Python
Authors
Julian, David
Publisher
Packt Publishing
ISBN
9781785882951
Date
2016-04-04T00:00:00+00:00
Size
5.14 MB
Lang
en
Downloaded: 60 times

Design efficient machine learning systems that fetch you more accurate results

About This Book Polish your understanding of machine learning systems, how they work, and what the various options at hand are Become an expert at understanding what is best for your machine learning systems—the features, models, error functions, and more Get all that it takes to design your own machine learning system with the help of this highly practical, example-rich book

This book is for data scientists, scientists, or just the curious. 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 Be able to apply a systems thinking to your designs 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 biggest trends the world of computing has seen. Everyone wants to get in the field of machine learning and in order to obtain sufficient recognition in the field, one must be able to understand and design a machine learning system that serves the needs of the project.

Your machine learning system is not fetching you accurate results? You might want to look at it from the designing perspective! This book will not only enable you to understand the design process of various machine learning models and systems, but will also enable you to design your own customized machine learning systems that are practical, feasible, and effective, with maximum accuracy. You will gain an understanding of how to put machine learning systems together to solve unique problems. You may already know about, or have worked with, some “off the shelf” machine learning models to solve common problems such as spam detection, or movie classification, but to begin to solving more complex problems, you will need a deeper understanding of these algorithms, and how you can adapt them to your specific needs. This book will give you that understanding, and more.