Machine learning books

ICDAR 2023 Workshop on Automatically Domain-Adapted and Personalized Document Analysis (ADAPDA); Part II contains...  Read More >>

ICDAR 2023 Workshop on Automatically Domain-Adapted and Personalized Document Analysis (ADAPDA); Part II contains...  Read More >>

This is the first technical book that considers tests as public tools and examines how to engineer and process test...  Read More >>

A hands-on introduction to machine learning and its applications to the physical sciences. As the size and complexity...  Read More >>

Artificial intelligence (AI) applications bring agility and modernity to our lives, and the reinforcement learning...  Read More >>

This practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges...  Read More >>

"The Adjuster is a work of fiction and delves into a world where machine learning, robotics and artificial intelligence...  Read More >>

"As the use of Software Defined Networking (SDN) becomes increasingly prevalent, securing these dynamic and programmable...  Read More >>

This concise introduction covers inverse problems and data assimilation, before exploring their inter-relations....  Read More >>

This book features selected papers presented at International Conference on Data Analytics and Computing (ICDAC...  Read More >>

This focuses on enhancing the classification of medical data using learning algorithms. With the increasing availability...  Read More >>

In AI v. RI, Wendi Sanford tackles the enigmatic intersection of Artificial Intelligence and human capability with...  Read More >>

Network security is any action an organization takes to prevent malicious use or accidental damage to the network's...  Read More >>

This self-contained textbook introduces students and researchers of AI to the key mathematical concepts and techniques...  Read More >>

The main goal of this comprehensive textbook is to cover the core techniques required to understand some of the...  Read More >>

This six-volume set of LNCS 14187, 14188, 14189, 14190, 14191 and 14192 constitutes the refereed proceedings of...  Read More >>

This concise introduction covers inverse problems and data assimilation, before exploring their inter-relations....  Read More >>

Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. ML...  Read More >>

This open access book gathers authors from a wide range of social-scientific and engineering disciplines to review...  Read More >>

I must say, this one is an absolute delight. No need for any unnecessary delay, let me give you a sneak peek into...  Read More >>

Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. ML...  Read More >>

Build and fine-tune models for maximum performance. Practical tips to make your own state-of-the-art AI/ML models....  Read More >>

AI meets Superconductivity, explore of the transformative alliance between Artificial Intelligence and Superconductivity....  Read More >>

81117971101161171093299111109112117116101114115321049711810132100101109111110115116114971161011003211610497116321161041011213210497118101321161041013210511010410111410111011632112111116101110116105971...  Read More >>

 Read More >>