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

Monitoring and Control of Electrical Power Systems using Machine Learning Techniques bridges the gap between advanced...... more

This book provides a concise but comprehensive guide to representation, which forms the core of Machine Learning (ML...... more

Fully build and productionize end-to-end machine learning solutions using Azure Machine Learning Service Key Features...... more

Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2022, held in Bhopal, India, in December 2022...... more

Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2022, held in Bhopal, India, in December 2022...... more

in developing and executing a trading algorithm ● How you can do algorithmic trading without having to learn to code ● 4...... more

in developing and executing a trading algorithm ● How you can do algorithmic trading without having to learn to code ● 4...... more

, it can be challenging to get into, especially if you have no coding background. While you won’t learn everything from...... more

, it can be challenging to get into, especially if you have no coding background. While you won’t learn everything from...... more

(RMSE). Artificial intelligence-based machine learning modelling techniques are worthy of consideration for those interested...... more

The book is designed mainly for the students of engineering graduates. It covers all the topics of t... more

International Conference on Machine Learning for Cyber Security, ML4CS 2022, which taking place during December 2-4, 2022, held in...... more

International Conference on Machine Learning for Cyber Security, ML4CS 2022, which taking place during December 2-4, 2022, held in...... more

International Conference on Machine Learning for Cyber Security, ML4CS 2022, which taking place during December 2-4, 2022, held in...... more

Data: periodicity and ways to unlock it’s full potential.- Modulating Neural Oscillations with Trans... more

This volume offers a wealth of interdisciplinary approaches to artificial intelligence, machine learning and...... more

Machine Learning in Bioinformatics of Protein Sequences guides readers around the rapidly advancing world of...... more

This open access book introduces and explains machine learning (ML) algorithms and techniques developed for statistical...... more

computation methods. Using machine learning and Bayesian statistics, a defect-correlated estimate of fatigue strength was...... more

​This book serves as a single-source reference to key machine learning (ML) applications and methods in digital and...... more

This book organizes principles and methods of signal processing and machine learning into the framework of coherence...... more

This book constitutes the refereed proceedings of the Third International Conference on Machine Learning, Image...... more

This open access book introduces and explains machine learning (ML) algorithms and techniques developed for statistical...... more

Build, train, and deploy large machine learning models at scale in various domains such as computational fluid dynamics...... more

you in understanding the role security plays in machine learning. As you progress to the second part, you’ll learn more...... more

Become a successful machine learning professional by effortlessly deploying machine learning models to production and...... more

Machine Learning (ML) has become a very important area of research widely used in various industries.This compendium...... more

Multimedia Streaming in SDN/NFV and 5G Networks A comprehensive overview of Quality of Experience co... more

This book examines the abilities of new machine learning models for predicting ore grade in mining engineering. A...... more

and multivariate modeling for time series forecasting Forecast using machine learning and deep learning techniques such as...... more

Greetings, inspired reader of machine learning glory. If you made it here, then thank you for the consideration. This...... more

Greetings, inspired reader of machine learning glory. If you made it here, then thank you for the consideration. This...... more

improvements in the industrial sectors using machine intelligence learning and intelligent systems techniques, especially robotics...... more

Machine Learning: Theory and Practice provides an introduction to the most popular methods in machine learning. The...... more

This self-contained introduction to machine learning, designed from the start with engineers in mind, will equip...... more

applications and findings in broad areas including Data Analytics, AI, and Machine Learning to address complex real-world problems...... more

early failures in rotating machinery? This practical book teaches you the skills necessary to put AI and machine learning to...... more

Machine learning has become an integral part of many commercial applications and research projects, but this field is...... more

, GMU This book offers a curriculum for introducing interpretability to machine learning at every stage. The authors provide...... more

dashboards and machine learning web apps. Streamlit reduces development time for web-based application prototypes of data and...... more

The new edition of this popular professional book on artificial intelligence (ML) and machine learning (ML) has been...... more

This book offers a brief but effective introduction to quantum machine learning (QML). QML is not merely a translation...... more

This book constitutes the proceedings of the 13th International Workshop on Machine Learning in Medical Imaging, MLMI...... more

This book presents advances in business computing and data analytics by discussing recent and innovative machine...... more

., Proximal Gradient Methods for Machine Learning and Imaging.- De Vito, E., Rosasco, L., Rudi, A., Regularization: From Inverse...... more

This book aims at the tiny machine learning (TinyML) software and hardware synergy for edge intelligence applications...... more

distributions when there are no other books that apply graphical models to machine learning. It is also the first four-color book on...... more

past few years. Brand-new explainable machine learning methods for point cloud learning, which are lightweight and easy to...... more

Advanced Machine Learning Techniques includes the theoretical foundations of modern machine learning, as well as...... more