Machine Learning for Absolute Beginners: A Simple, Concise & Complete Introduction to Supervised and Unsupervised Learning Algorithms - Couverture souple

Grange, Jennifer

Couverture souple

ISBN 10 : 1979613095 ISBN 13 : 9781979613095

Editeur : CreateSpace Independent Publishing Platform, 2017

Synopsis

Do you understand the difference between supervised and unsupervised learning algorithms? Would you like to be able to learn about this quickly, in a simple and concise way? Some of the world’s biggest companies use machine learning techniques to manage their functions in an effective and professional way that is beneficial to their business. Now you can understand more about them with Machine Learning for Absolute Beginners, a book which provides you with in-depth knowledge of the Supervised and Unsupervised Learning Algorithms which play such a big part and specifically: Supervised learning Semi-supervised learning Learning to learn Transduction Learning that reinforces Written in a clear and easy-to-follow style, this book takes what might seem to be a complex subject and simplifies it in basic layman’s terms, so that it becomes an easy read, even if you are a complete novice. Get yourself a copy of Machine Learning for Absolute Beginners today. It will enhance your understanding and provide you with everything you’ll need to expand your knowledge of this fascinating subject!

Détails de l'édition

• Éditeur: CreateSpace Independent Publishing Platform
• Date d'édition: 2017
• Langue: anglais
• ISBN 10: 1979613095
• ISBN 13: 9781979613095
• Reliure: Broché
• Nombre de pages: 76
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible