Introduction to machine learning - Couverture souple

Oliver, Deborah

Couverture souple

ISBN 10 : 1801256500 ISBN 13 : 9781801256506

Editeur : Charlie Creative Lab, 2021

Synopsis

This book gives a layman explanation for machine learning using Python.  We will explain a lot of basic machine learning topics using python code.  There are a lot of examples  that we can use to  master the skill of Data science . This book will help you  understand the basic algorithms that machine learning deals with . There are a lot of concepts that can be used to acquire advanced skills in data science and its subsequent subfields. In the first chapter, we will discuss very basics and introduce Python environment for the users. There are certain basic principles that can be learned using the book.  We will then discuss data processing techniques  which are very important for a good machine learning model. We will introduce pandas, numpy models to the reader along with their use cases. We will also try to  expand our knowledge using machine learning algorithms  that are described in the book. In the next sections, we will learn about machine learning models.  The last two chapters will give a practical point of w to what we have discussed . Below, we explain the most important concepts we discussed in this book in no partiar order.

Introduction to machine learning and python environment Introduction to numpy, Pythons, and other machine learning python modules Introduction to data processing techniques in detail Introduction to data ualization in detail.

Détails de l'édition

• Éditeur: Charlie Creative Lab
• Date d'édition: 2021
• Langue: anglais
• ISBN 10: 1801256500
• ISBN 13: 9781801256506
• Reliure: Broché
• Nombre de pages: 144
• Coordonnées du fabricant: non disponible
• Personne responsable: Buchpark GmbH; gpsr@buchpark.de; ; Krügerweg 1; Trebbin; Brandenburg; 14959; Allemagne