Neil Lawrence & Mahesan Niranjan 
Deterministic and Statistical Methods in Machine Learning [PDF ebook] 
First International Workshop, Sheffield, UK, September 7-10, 2004. Revised Lectures

This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs) . DNNs are currently widely used for many artificial in …

An ideal reference source for CEOs, marketing and sales managers, sales consultants, and students of international marketing, Guide to Software Export provides a step-by-step approach to initiating o …

Transform your business landscape with the formidable prowess of large language models (LLMs). The book provides you with practical insights, guiding you through conceiving, designing, and implementi …

This book covers a wide range of topics starting with the introduction of web applications, including client-side and server-side scripting, different categories of web applications, and the installa …

SERI-2021 was a success with the presence of our valuable Guest Speakers who lead the discussion in various session in just the right direction showering the audiences with their esteemed valuable kn …

Since the publication of the first edition, parallel computing technology has gained considerable momentum. A large proportion of this has come from the improvement in VLSI techniques, offering one t …

Learn Data Science from Scratch equips you with the essential tools and techniques, from Python libraries to machine learning algorithms, to tackle real-world problems and make informed decisions.Thi …

"Think AI" is a rapid-learning book that covers a wide range of Artificial Intelligence topics, including Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing. …

The Potential of Generative AI invites you for a captivating journey into the revolutionary technology, where machines become co-creators and the line between imagination and reality blurs. You will …

The second edition of "Machine Learning for Beginners" addresses key concepts and subjects in machine learning. The book begins with an introduction to the foundational principles of machin …