Machine learning

If youre an experienced programmer willing to crunch data, this concise guide will show you how to use machine learning to work with email.

If youre an experienced programmer willing to crunch data, this concise guide will show you how to use machine learning to work with email.

If youre an experienced programmer interested in crunching data, this book will get you started with machine learninga toolkit of algorithms that enables computers to train themselves to automate useful tasks.

If youre an experienced programmer interested in crunching data, this book will get you started with machine learninga toolkit of algorithms that enables computers to train themselves to automate useful tasks.

If you're a developer looking to supplement your own data tools and services, this concise ebook covers the most useful sources of public data available today.

The book is a collection of the best-selected research papers presented at the International Conference on Recent Trends in Machine Learning, IoT, Smart Cities, and Applications (ICMISC 2023) held in September 2023 at the CMR Institute of Technology, Hyderabad, Telangana, India.

This book introduces a Responsible AI framework and guides you through processes to apply at each stage of the machine learning (ML) life cycle, from problem definition to deployment, to reduce and mitigate the risks and harms found in artificial intelligence (AI) technologies.

Artificial Intelligence (AI) is already present in our daily routines, and in the future, we will encounter it in almost every aspect of life - from analyzing X-rays for medical diagnosis, driving autonomous cars, maintaining complex machinery, to drafting essays on environmental problems and drawing imaginative pictures.

Businesses that want to stay competitive know that AI has become a crucial technologyand so do their employees looking to grow their careers.

If you're looking to build production-ready AI applications that can reason and retrieve external data for context-awareness, you'll need to master--;a popular development framework and platform for building, running, and managing agentic applications.

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

In recent years there has been increasing excitement concerning the potential of Artificial Intelligence to transform human society.

This book contains applications to various health-related problems, from designing and maintaining a proper diet to enhancing hygiene to analysis of mammograms and left-right brain activity to treating diseases such as diabetes and drug addictions.

Today, emerging technologies offer a new pathway for advancing the economy in the fields of banking, finance, and capital markets.

This book contains original, peer-reviewed research articles from the 5th International Conference on Recent Trends in Machine Learning, IoT, Smart Cities, and Applications, held in Hyderabad, India on 28-29 March 2024.

This book offers the latest research results in security and privacy for Intelligent Edge Computing Systems.

Are you ready to grow your skills in AI and data science?

This book introduces the prevailing domains of recommender systems and cross-device federated learning, highlighting the latest research progress and prospects regarding cross-device federated recommendation.

Vertiefendes Wissen von Deep Learning über Computer Vision bis Natural Language Processing- Schließt die Lücke zwischen Grundlagen und Profiwissen- Einfache, prägnante Erklärungen zu wichtigen und aktuellen Themen- Mit Übungsaufgaben sowie Codebeispielen auf GitHub Sie verfügen bereits über Grundkenntnisse zu maschinellem Lernen und künstlicher Intelligenz, haben aber viele Fragen und wollen tiefer in wesentliche und aktuelle Konzepte eintauchen?

This book contains original, peer-reviewed research articles from the 5th International Conference on Recent Trends in Machine Learning, IoT, Smart Cities, and Applications, held in Hyderabad, India on 28-29 March 2024.

The computer-aided drug design research field comprises several different knowledge areas, and often, researchers are only familiar or experienced with a small fraction of them.

Modeling Visual Aesthetics, Emotion, and Artistic Style offers a comprehensive exploration of the increasingly significant topic of the complex interplay between human perception and digital technology.

This introduction to the theory of variational Bayesian learning summarizes recent developments and suggests practical applications.

Introduces cutting-edge research on machine learning theory and practice, providing an accessible, modern algorithmic toolkit.

Introduces cutting-edge research on machine learning theory and practice, providing an accessible, modern algorithmic toolkit.

A thorough introduction to probabilistic numerics showing how to build more flexible, efficient, or customised algorithms for computation.

Explore the capabilities of ChatGPT and gain insight on how to utilize this AI tool in your daily tasks, and marketing endeavors.

This book provides an in-depth discussion of challenges encountered in deploying real-life large-scale systems and the state-of-the-art solutions in personalization.

This book provides an in-depth discussion of challenges encountered in deploying real-life large-scale systems and the state-of-the-art solutions in personalization.

An authoritative and in-depth treatment of state space methods, with a range of applications in neural and clinical data.

An authoritative and in-depth treatment of state space methods, with a range of applications in neural and clinical data.

This book sheds new light on the form and function of morphemes in construction of words in the Bengali language.

Top researchers investigate the main challenges and state of the art in automated negotiation and discuss potential applications.

Top researchers investigate the main challenges and state of the art in automated negotiation and discuss potential applications.

This book introduces the prevailing domains of recommender systems and cross-device federated learning, highlighting the latest research progress and prospects regarding cross-device federated recommendation.

As artificial intelligence (AI) rapidly transforms education, tools like ChatGPT and Claude are revolutionizing the way we teach and learn.

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

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

A coherent source for applications including robotics, computational biology, graphics, manufacturing, aerospace applications and medicine.

Covering the fundamentals of kernel-based learning theory, this is an essential resource for graduate students and professionals in computer science.

Covers text mining and link detection algorithms, pre-processing techniques, knowledge representation, visualization and applications.

Covering the fundamentals of kernel-based learning theory, this is an essential resource for graduate students and professionals in computer science.

This is a comprehensive introduction to Support Vector Machines, a generation learning system based on advances in statistical learning theory.

This book introduces different approaches to developing recommender systems that automate choice-making strategies to provide affordable, personal, and high-quality recommendations.

A practical introduction perfect for final-year undergraduate and graduate students without a solid background in linear algebra and calculus.

This is a comprehensive introduction to Support Vector Machines, a generation learning system based on advances in statistical learning theory.

This integrated collection covers a range of parallelization platforms, concurrent programming frameworks and machine learning settings, with case studies.

A comprehensive and consistent theory of estimation, including a description of a powerful new tool, the generalized maximum capacity estimator.

Introductory textbook presenting relational methods in machine learning.

This book introduces theories, methods and applications of density ratio estimation, a newly emerging paradigm in the machine learning community.