Machine Learning with R - Couverture souple

Ghatak, Abhijit

Couverture souple

ISBN 10 : 9811349509 ISBN 13 : 9789811349508

Editeur : Springer, 2018

Synopsis

​Help readers understand the mathematical interpretation of learning algorithms

Teach the basics of linear algebra, probability, and data distributions and how they are essential in formulating a learning algorithm
Help readers construct and modify their own learning algorithms, such as ridge and lasso regression, decision trees, boosted trees, k-nearest neighbors, etc

A propos du livre

À propos de l?auteur

Abhijit Ghatak is a Data Scientist and holds an ME in Engineering and MS in Data Science from Stevens Institute of Technology, USA. He started his career as a submarine engineer officer in the Indian Navy and worked on multiple data-intensive projects involving submarine operations and construction. He has worked in academia, technology companies and as a research scientist in the area of Internet of Things (IoT) and pattern recognition for the European Union (EU). He has published in the areas of engineering and machine learning and is presently a consultant in the area of pattern recognition and data analytics. His areas of research include IoT, stream analytics and design of deep learning systems.

Détails de l'édition

• Éditeur: Springer
• Date d'édition: 2018
• Langue: anglais
• ISBN 10: 9811349509
• ISBN 13: 9789811349508
• Reliure: Broché
• Nombre de pages: 232
• Coordonnées du fabricant: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Allemagne