The automated learning of machines characterizes machine learning (ML). It focuses on making data-driven predictions...... more

Implement real-world machine learning in a microservices architecture as well as design, build, and deploy intelligent...... more

Machine Learning, Optimization, and Data Science, LOD 2022, together with the papers of the Second Symposium on Artificial...... more

its advancements. In the following chapters, you will delve deeper into the workings of AI, machine learning, deep...... more

Machine Learning, Optimization, and Data Science, LOD 2022, together with the papers of the Second Symposium on Artificial...... more

several illustrative applications on machine learning and deep learning....... more

contemporary sensing, Internet of Things (IoT) and machine learning algorithms and architectures have introduced new approaches in...... more

The book will cover the different algorithms used in machine learning according to its different types. We’ll cover...... more

Ready to spin up a virtual GPU instance and smash through petabytes of data? Want to add ’Machine Learning’ to your...... more

Ready to spin up a virtual GPU instance and smash through petabytes of data? Want to add ’Machine Learning’ to your...... more

Network Science with Python provides a hands-on approach to the theory and implementation of network... more

. From understanding AI and machine learning to developing and launching AI products, it provides the strategies, techniques...... more

Machine Learning (ML) is a sub field of artificial intelligence that uses soft computing and algorithms to enable...... more

Lung cancer is a major cause of cancer-related deaths worldwide. Machine learning techniques have shown promising...... more

This book presents the state of the art in distributed machine learning algorithms that are based on gradient...... more

This book constitutes the refereed proceedings of the 9th International Workshop on Machine Learning and Data Mining...... more

comprehensively discuss selected scientific concepts, frameworks, architectures and ideas on sensing technologies and machine-learning...... more

statistical analyses include machine learning and, are essential for successful research within a wide range of specializations...... more

This book is a comprehensive guide to understanding and implementing cutting-edge machine learning and deep learning...... more

This book is a comprehensive guide to understanding and implementing cutting-edge machine learning and deep learning...... more

An Introduction to the Machine Learning Empowered Intelligent Data Center Networking Fundamentals of Machine Learning...... more

This book provides applications of machine learning in healthcare systems and seeks to close the gap between...... more

The generation of concept maps from domain text using machine learning and deep learning techniques is a promising area...... more

Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This...... more

Hamiltonian Monte Carlo Methods in Machine Learning introduces methods for optimal tuning of HMC parameters, along with...... more

Machine learning and data analytics can be used to inform technical, commercial and financial decisions in the maritime...... more

embedded machine learning, developers can capture human intuition and deploy it to any target--from ultra-low power...... more

If you want to discover how to become a software developer using Angular with TypeScript, Python for Machine Learning...... more

artificial intelligence (AI) and machine learning. Many industries have put AI to work and continue to invest very heavily in...... more

This book gathers selected high-impact articles from the 3rd International Conference on Data Science, Machine Learning...... more

foundation on the concepts and algorithms of machine learning and statistics. The book simplifies analytics for businesses and...... more

This book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care...... more

Machine learning has become key in supporting decision-making processes across a wide array of applications, ranging...... more

The book "Machine Learning Concepts for Beginners- Theory and Applications" provides the in-depth knowledge in the...... more

This book is designed for those who wish to enter the world of machine learning, i.e. beginner mode. Initially, data...... more

of ECML PKDD 2022 on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2022...... more

of ECML PKDD 2022 on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2022...... more

1. Introduction.- 2. Understanding Machine Learning.- 3. Defence.- 4. Attack.- 5. Feasibility and Misconceptions.- 6...... more

This edited book comprises chapters that describe the IoT, machine learning, and blockchain technologies for renewable...... more

This book describes a novel machine-learning based approach to answer some traditional archaeological problems...... more

Artificial Intelligence and Machine Learning in Smart City Planning shows the reader practical applications of AIML...... more

This book discusses multi-agent technologies (MATs) and machine learning (ML). These tools can be integrated and...... more

has provided researchers with a platform to share and exchange ideas on state-of-art development in machine learning...... more

Data Science, Analytics and Machine Learning with R explains the principles of data mining and machine learning...... more

The aim of the groundnut leaf disease classifier is to identify the relevant leaf disease with bette... more

Introduction.- Components of ML.- The Landscape of ML.- Empirical Risk Minimization.- Gradient-Based Learning.- Model...... more