Machine Learning For Beginners: An Introduction for Beginners, Why Machine Learning Matters Today and How Machine Learning Networks, Algorithms, Concepts and Neural Networks Really Work

Cooper, Steven

ISBN 10: 3903331562 / ISBN 13: 9783903331563

Edité par Data Science, 2019

A propos de cet article

Zustand: Sehr gut | Seiten: 182 | Sprache: Englisch | Produktart: Bücher.

N° de réf. du vendeur 42016566/2

Détails bibliographiques

• Titre: Machine Learning For Beginners: An Introduction for Beginners, Why Machine Learning Matters Today and How Machine Learning Networks, Algorithms, Concepts and Neural Networks Really Work
• Éditeur: Data Science
• Date de parution: 2019
• Langue: anglais
• ISBN à 10 chiffres: 3903331562
• ISBN à 13 chiffres: 9783903331563
• Reliure: Couverture rigide
• État de l'article: Sehr gut
• Catalogues du vendeur:
  • Bücher

A propos de ce titre

Synopsis

If you're looking for a way to become an expert in machine learning, then keep reading...

Machine learning is an incredibly dense topic. It's hard to imagine condensing it into an easily readable and digestible format. However, this book aims to do exactly that.

Throughout the course of this book, we're going to be covering numerous different aspects of machine learning, such as:

• The different types of learning algorithm that you can expect to encounter
• The numerous applications of machine learning
• The future of machine learning
• What neural networks and deep learning are
• The best practices for picking up machine learning
• What languages and libraries to work with
• The different types of machine learning and how they differ
• The various problems that you can solve with machine learning algorithms
• And much more...

Starting from nothing, we slowly work our way through all the concepts that are central to machine learning. By the end of this book, you're going to feel as though you have an extremely firm understanding of what machine learning is, how it can be used, and most importantly, how it can change the world. You're also going to have an understanding of the logic behind the algorithms and what they aim to accomplish.

Don't waste your time working with a book that's only going to make an already complicated topic even more complicated. Pick up this book and learn everything you need to know in no time!