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Getting Started with Machine Learning

In the last chapter, we saw what machine learning predictive models are and formed a basic understanding of how they work. In this chapter, we will demonstrate the working of neural net models and move on to another type of model, the (Support Vector Machines)
SVMs model.

The following are the topics that will be covered in this chapter:

Demonstrating a neural network
Support Vector Machines
Demonstrating SVMs

Key benefits

Learn how to apply machine learning techniques in the field of data science

Understand when to use different data mining techniques, how to set up different analyses, and how to interpret the results

A step-by-step approach to improving model development and performance

Description

Machine learning (ML) combined with data mining can give you amazing results in your data mining work by empowering you with several ways to look at data. This book will help you improve your data mining techniques by using smart modeling techniques. This book will teach you how to implement ML algorithms and techniques in your data mining work. It will enable you to pair the best algorithms with the right tools and processes. You will learn how to identify patterns and make predictions with minimal human intervention. You will build different types of ML models, such as the neural network, the Support Vector Machines (SVMs), and the Decision tree. You will see how all of these models works and what kind of data in the dataset they are suited for. You will learn how to combine the results of different models in order to improve accuracy. Topics such as removing noise and handling errors will give you an added edge in model building and optimization. By the end of this book, you will be able to build predictive models and extract information of interest from the dataset

Who is this book for?

If you are a data scientist, data analyst, and data mining professional and are keen to achieve a 30% higher salary by adding machine learning to your skillset, then this is the ideal book for you. You will learn to apply machine learning techniques to various data mining challenges. No prior knowledge of machine learning is assumed.

What you will learn

Hone your model-building skills and create the most accurate models

Understand how predictive machine learning models work

Prepare your data to acquire the best possible results

Combine models in order to suit the requirements of different types of data

Analyze single and multiple models and understand their combined results

Derive worthwhile insights from your data using histograms and graphs

What do you get with Print?

Instant access to your digital eBook copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

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Total € 90.97

Amazon Customer Nov 02, 2019

Great book

Amazon Verified review

Em Dec 10, 2020

A few years ago I bought the book, IBM SPSS Modeler Essentials, by the same author, and I found it to be extremely useful. This book introduces machine learning and then covers the ins and outs of several models. However it is chapters 4 and 5 that really take analyzing data to a whole other level.

Machine Learning for Data Mining: Improve your data mining capabilities with advanced predictive modeling

What do you get with Print?

Machine Learning for Data Mining

Getting Started with Machine Learning

Demonstrating a neural network

Running a neural network model

Support Vector Machines

Working with Support Vector Machines

Demonstrating SVMs

Summary

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