Machine learning

This book focuses in detail on data science and data analysis and emphasizes the importance of data engineering and data management in the design of big data applications.

Understand the concepts of image processing with Python 3 and create applications using Raspberry Pi 4.

This book will show how generative technology works and the drivers.

The world stands at a pivotal moment due to the emergence of Generative AI, specifically ChatGPT.

This book explains how to scale Apache Spark 3 to handle massive amounts of data, either via batch or streaming processing.

Machine translation of natural languages is one of the most complex and comprehensive applications of computational linguistics and artificial intelligence.

Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty.

Constraint satisfaction is a simple but powerful tool.

Gain a working knowledge of prescriptive AI, its history, and its current and future trends.

Blondie24 tells the story of a computer that taught itself to play checkers far better than its creators ever could by using a program that emulated the basic principles of Darwinian evolution--random variation and natural selection-- to discover on its own how to excel at the game.

This book is aimed at practitioners of data science, with consideration for bespoke problems, standards, and tech stacks between industries.

Intelligent agents are employed as the central characters in this new introductory text.

Learn how to use the large-scale natural language processing model developed by OpenAI: ChatGPT.

This book is aimed at practitioners of data science, with consideration for bespoke problems, standards, and tech stacks between industries.

This first comprehensive book on models behind Generative AI has been thoroughly revised to cover all major classes of deep generative models: mixture models, Probabilistic Circuits, Autoregressive Models, Flow-based Models, Latent Variable Models, GANs, Hybrid Models, Score-based Generative Models, Energy-based Models, and Large Language Models.

This monograph explores a set of statistical and machine learning tools that can be effectively utilized for applied data analysis in the context of electricity load forecasting.

Artificial intelligence (AI) is revolutionizing our daily lives, thanks to remarkable advancements in research and the widespread adoption of interactive technologies.

Our ability to generate and collect data has been increasing rapidly.

This book offers a comprehensive introduction to the central ideas that underpin deep learning.

In den letzten Jahren ist die Sportinformatik extrem gewachsen, vor allem weil immer mehr und neuere Daten verfügbar wurden.

This book includes selected peer reviewed articles from The 5th International Conference on Communications and Cyber-Physical Engineering (ICCCE 2022), held on 29th  and 30th  April 2022 in Hyderabad, India.

This book continues the previous edition: Samsul Ariffin Abdul Karim (2022).

The recent developments in wireless communications, networking, and embedded systems have driven various innovative Internet of Things (IoT) applications, e.

Many AI (and machine learning) tasks present in dual forms, e.

The dawn of AI agents is upon us.

Apply supervised and unsupervised learning to solve practical and real-world big data problems.

Understand and implement big data analysis solutions in pandas with an emphasis on performance.

Implement reinforcement learning techniques and algorithms with the help of real-world examples and recipesKey FeaturesUse PyTorch 1.

The two-volume set LNCS 13373 and 13374 constitutes the papers of several workshops which were held in conjunction with the 21st International Conference on Image Analysis and Processing, ICIAP 2022, held in Lecce, Italy, in May 2022.

This book explores the ongoing debate between shallow and deep learning in the field of machine learning.

Harness the power of Large Language Models (LLMs) to build cutting-edge AI applications with Python and LangChain.

A self-contained and practical introduction that assumes no prior knowledge of programming or machine learning.

Graphical models (e.

This book explores the convergence of microbiology and artificial intelligence (AI) and delves into the intricate world of microbial systems enhanced by cutting-edge AI technologies.

This comprehensive overview of IoT systems architecture includes in-depth treatment of all key components: edge, communications, cloud, data processing, security, management, and uses.