Understanding Machine Learning Book [PDF] Download

• Publisher : Cambridge University Press
• File Size : 23,8 Mb
• Release Date : 19 May 2014

Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.

• Publisher : Packt Publishing Ltd
• File Size : 31,8 Mb
• Release Date : 24 July 2017

Build strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guide About This Book Get started in the field of Machine

• Publisher : Apress
• File Size : 28,5 Mb
• Release Date : 30 June 2018

Bridge the gap between a high-level understanding of how an algorithm works and knowing the nuts and bolts to tune your models better. This book will give you the confidence

• Publisher : CRC Press
• File Size : 26,9 Mb
• Release Date : 19 August 2016

Machine learning, one of the top emerging sciences, has an extremely broad range of applications. However, many books on the subject provide only a theoretical approach, making it difficult for

• Publisher : Academic Press
• File Size : 47,8 Mb
• Release Date : 15 July 2019

Introduction to Algorithms for Data Mining and Machine Learning introduces the essential ideas behind all key algorithms and techniques for data mining and machine learning, along with optimization techniques. Its

• Publisher : Packt Publishing Ltd
• File Size : 45,7 Mb
• Release Date : 25 May 2018

Explore and master the most important algorithms for solving complex machine learning problems. Key Features Discover high-performing machine learning algorithms and understand how they work in depth. One-stop solution to

• Publisher : John Wiley & Sons
• File Size : 28,6 Mb
• Release Date : 10 August 2021

Machine Learning Algorithms is for current and ambitious machine learning specialists looking to implement solutions to real-world machine learning problems. It talks entirely about the various applications of machine and

• Publisher : Springer Nature
• File Size : 21,6 Mb
• Release Date : 31 May 2022

This book introduces basic machine learning concepts and applications for a broad audience that includes students, faculty, and industry practitioners. We begin by describing how machine learning provides capabilities to

• Publisher : Springer Nature
• File Size : 51,9 Mb
• Release Date : 18 July 2020

This book explores several problems and their solutions regarding data analysis and prediction for industrial applications. Machine learning is a prominent topic in modern industries: its influence can be felt

• Publisher : Springer Nature
• File Size : 38,6 Mb
• Release Date : 23 October 2019

This book presents a wealth of deep-learning algorithms and demonstrates their design process. It also highlights the need for a prudent alignment with the essential characteristics of the nature of