Machine Learning

This book presents some post-estimation and predictions strategies for the host of useful statistical models with applications in data science. It combines statistical learning and machine learning techniques in a unique and optimal way. It is well-known...

Written for professionals looking to build data science and analytics capabilities within their organizations as well as those who wish to expand their knowledge and advance their careers in the data spaceShows how to build a fit-for-purpose data science...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9788770227841Author Rishabha MalviyaFormat HardbackPage Count 390Imprint River PublishersPublisher River PublishersWeight(grams) 960g

Privacy-Preserving Machine Learning is a practical guide to keeping ML data anonymous and secure. You'll learn the core principles behind different privacy preservation technologies, and how to put theory into practice for your own machine learning. ...

This compendium discusses the adaptive enterprise architecture (AEA) as information to support decisions and actions for desired efficiency and innovation (outcomes and impacts). This comprehensive information-driven approach uses data, analytics, and...

Text Analytics: An Introduction to the Science and Applications of Unstructured Information Analysis is a concise and accessible introduction to the science and applications of text analytics (or text mining), which enables automatic knowledge discovery...

Most data scientists and engineers today rely on quality labeled data to train machine learning models. But building a training set manually is time-consuming and expensive, leaving many companies with unfinished ML projects. There's a more practical...

The terms 'machine learning', 'pure mathematics and theoretical physics' may first appear to be topics in two very different categories in mathematics and computer science, yet in the past five years, we have seen many articles published that combined...

This comprehensive volume aims to illustrate how these advanced technologies can address sustainability challenges, improve decision-making processes, and enhance overall healthcare delivery.

As data becomes more abundant and widespread across personal devices, the need for secure, privacy-aware machine learning is growing. Federated Learning (FL) offers a promising solution, enabling smart devices to collaboratively train models without...

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How deep learning from Google Translate to driverless cars to personal cognitive assistants is changing our lives and transforming every sector of the economy.

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Blockchain provides an environment where technologies converge to provide numerous benefits. However, there are still many problems ahead, and changes are required at all levels - technology, algorithms, and human-computer interaction for widespread...

This book examines the potential benefits of cyber-physical systems (CPS) and applications for rural development. It provides an in-depth examination of theoretical concepts, in addition to presenting real-world case studies and methodological frameworks...

Large language models (LLMs), advanced AI systems trained on vast text datasets, are reshaping education. This book explores their role in revolutionizing learning through cognitive reinforcement, personalization, curriculum-wide applications, and...

This book delves into the evolving field of computational intelligence, highlighting its intersection with computer science, AI, and machine learning. It covers recent advancements, theoretical foundations, and practical applications, emphasizing the...

The book bridges the gap between theoretical concepts and practical implementation, ensuring that readers develop a nuanced and practical grasp of AI's impact on healthcare systems. Moreover, the book serves as a roadmap for healthcare professionals and...

This book presents the use of Machine Learning and Artificial Intelligence in advanced and new manufacturing processes including core concepts and techniques of machine learning. It covers recent developments and research breakthroughs of tribological...

This book highlights applications that include machine learning methods to enhance new developments in complex and unmanned systems. The contents are organized from the applications requiring few methods to the ones combining different methods and...

Advancements in AI and Computer Vision are revolutionizing medical diagnostics by enabling real-time analysis of vast data. This book focuses on ML algorithms that analyze medical data and predict diseases based on key features.

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The bestselling book on Python deep learning, now covering generative AI, Keras 3, PyTorch, and JAX!

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Sorry no description is available for this book at this time.

This book demystifies the concept of AI-driven creativity with an in-depth understanding of the underlying principles, algorithms, and applications of generative AI. It explores case studies showcasing how generative AI is reshaping industries such as...

Knowledge graphs help understand relationships between the objects, events, situations, and concepts in your data so you can readily identify important patterns and make better decisions. This book provides tools and techniques for efficiently labeling...

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This book demystifies the concept of AI-driven creativity with an in-depth understanding of the underlying principles, algorithms, and applications of generative AI. It explores case studies showcasing how generative AI is reshaping industries such as...

Sorry no description is available for this book at this time.

This book constitutes the refereed proceedings of the Second International Conference on Recent Trends in AI Enabled Technologies, ThinkAI 2024, which took place in Hyderabad, India, during December 27-28, 2024. The 18 full papers in this book were...

Data as the Fourth Pillar reasons that data should be considered the fourth pillar of every enterprise, alongside people, processes, and technology. Aimed at Boards, CEOs, and CxOs, this book provides a compelling case for why and how they should treat...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781098168032Author Charles RavaraniFormat PaperbackPage Count 300Imprint O'Reilly MediaPublisher O'Reilly Media

Everything you need to know about AI to survive-and thrive-as an engineer. Haven't you heard? AI can instantly generate code, find and track network intrusions, parse your observability data, and even write a Medium article about it all. If AI is...

 Author Jim Dowling introduces fundamental MLOps principles and practices for developing and operating reliable ML systems and describes the key data platform that you'll use to build and operate your ML systems: the feature store.

The potential of machine learning today is extraordinary, yet many aspiring developers and tech professionals find themselves daunted by its complexity. In a way that's approachable yet deeply informative, author Aurelien Geron delivers the ultimate...

Data-Driven Fault Diagnosis delves into the application of machine learning techniques for achieving robust and efficient fault diagnosis in industrial components.The book covers a range of key topics, including data acquisition and preprocessing,...

This book discusses the multifaceted nature of organisational excellence and proceeds to consider the roles played by data, technological advances leading to innovation, and value-based leadership in guiding an organisation in its journey towards...

Can machines think? This troubling question, posed by Alan Turing in 1950, has perhaps been answered: today we can converse with a computer without being able to distinguish it from a person.Machines can pass university exams and program other computers...

Can machines think? This troubling question, posed by Alan Turing in 1950, has perhaps been answered: today we can converse with a computer without being able to distinguish it from a human being.Machines can pass university exams and programme other...