Machine Learning for Beginners: A Step-by-Step Guide to Learning and Mastering Machine Learning for Absolute Beginners with Real Examples

Author:   Daniel Geron
Publisher:   Independently Published
ISBN:  

9781089401513


Pages:   146
Publication Date:   09 August 2019
Format:   Paperback
Availability:   Temporarily unavailable   Availability explained
The supplier advises that this item is temporarily unavailable. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out to you.

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Machine Learning for Beginners: A Step-by-Step Guide to Learning and Mastering Machine Learning for Absolute Beginners with Real Examples


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Overview

What is machine learning? How machine learning works? Should I use a machine learning model or another approach to solve my problem? How do I implement machine learning to my problem? What are the machine learning methods I can use for my problem? How do I know my machine learning model is efficient? Are you wondering all these questions and hesitate on how to start with machine learning? The object of this book is to answer all of these questions. This book will give an initiation to machine learning methods. In fact, this book will give the very fundamental concepts of machine learning methods with no pre-requisite skills. Machine learning include is a large domain of research and have different branches. This book will teach the concepts of machine learning in general and also how to use artificial neural networks. By acquiring the skills presented in this book, we will be able to decide if machine learning is suited to solve your problem. You will also be able to make a judgement on the best way to implement a machine learning model to solve the problem you have in hand. By reading this book you will learn: The general concept of machine learning When to use and when to avoid machine learning The 4 main types of machine learning When to use each type of machine learning The general concept of artificial neural networks Activation function in artificial neural network and to choose an activation function within an artificial neural network The 5 main types of artificial neural network The best function to be used to train artificial neural networks. the 2 main concepts to know in the training process of the artificial neural network the main variants and algorithms for the formation of an artificial neural network and a machine learning model in general. Even you don't have any mathematical background or a statistical skill, this book will help you develop a sound understanding of machine learning methods and artificial neural networks. Would You Like to Know More? Scroll to the top of the page and select the BUY NOW button!

Full Product Details

Author:   Daniel Geron
Publisher:   Independently Published
Imprint:   Independently Published
Dimensions:   Width: 15.20cm , Height: 0.80cm , Length: 22.90cm
Weight:   0.204kg
ISBN:  

9781089401513


ISBN 10:   1089401515
Pages:   146
Publication Date:   09 August 2019
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Temporarily unavailable   Availability explained
The supplier advises that this item is temporarily unavailable. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out to you.

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