Data Science and Machine Learning

Extracting knowledge from information through data analysis: the data scientist has been called the most attractive profession of the 21st century. Analyze the relationships between data, discover new information and, thanks to machine learning, exploit the immense potential hidden in it by building predictive models. In this book, we illustrate methods to analyze and manipulate data, and Machine Learning and Deep Learning algorithms to predict information, moving from theoretical knowledge to practical applications with statistical software R, through extensive practical examples

What you will learn

Mathematics and algebra for machine learning

Statistics and probability for data science

Use of the statistical software R and R-Studio

Data preparation and feature engineering

Design and validate machine learning algorithms

Regression, classification and clustering algorithms

Making predictions based on time series

The models of neural networks and deep learning

Data visualization & data storytelling

Who this book is for

This book is for anyone who wants to learn how to manipulate and analyze data by drawing new knowledge from it. If you are an IT manager or an analyst who wishes to enter the world of Data Science and Big Data, if you are a developer who wants to know the new trends in the field of Artificial Intelligence or you are simply curious about this world, then this book is for you.

Support Material

Download the pdf with book images

Scarica gli esempi in R presenti nel libro (file zip)

How to Buy

Buy the paperback or read the Kindle edition on Amazon