Machine learning

Understand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark using Python.

The majority of natural language processing (NLP) is English language processing, and while there is good language technology support for (standard varieties of) English, support for Albanian, Burmese, or Cebuano-and most other languages-remains limited.

Machine learning has finally come of age.

Get a hands-on introduction to Transformer architecture using the Hugging Face library.

This book constitutes revised selected papers from the 9th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2019, held in Miami, Florida, USA in November 2019.

Our physical world is grounded in three dimensions.

This is a high-level introduction and overview of plan and goal recognition including the core elements and practical advice for modeling them.

Data is bigger, arrives faster, and comes in a variety of formats?

This book will teach you how to build recommender systems with machine learning algorithms using Python.

This book provides a comprehensive coverage of machine learning techniques ranging from fundamental to advanced.

The book includes original unpublished contributions presented at the Eighth International Conference on Emerging Applications of Information Technology (EAIT 2024), organized by Computer Society of India, Kolkata Chapter during 12 - 13 January 2024.

This book describes active illumination techniques in computer vision.

Get introduced to ML.

This state-of-the-art overview of the field describes how phase transitions occur and teaches appropriate methods for tackling the consequent problems.

Apply cutting-edge AI techniques to your Dynamics 365 environment to create new solutions to old business problems In Machine Learning with Dynamics 365 and Power Platform: The Ultimate Guide to Apply Predictive Analytics, an accomplished team of digital and data analytics experts delivers a practical and comprehensive discussion of how to integrate AI Builder with Dataverse and Dynamics 365 to create real-world business solutions.

This book gathers selected research papers presented at the Fifth International Conference on Communication and Intelligent Systems (ICCIS 2023), organized by Malaviya National Institute of Technology Jaipur, India, during December 16-17, 2023.

Advance your skills in efficient data analysis and data processing using the powerful tools of Scala, Spark, and HadoopAbout This BookThis is a primer on functional-programming-style techniques to help you efficiently process and analyze all of your dataGet acquainted with the best and newest tools available such as Scala, Spark, Parquet and MLlib for machine learningLearn the best practices to incorporate new Big Data machine learning in your data-driven enterprise to gain future scalability and maintainabilityWho This Book Is ForMastering Scala Machine Learning is intended for enthusiasts who want to plunge into the new pool of emerging techniques for machine learning.

This stimulating text/reference presents a philosophical exploration of the conceptual foundations of deep learning, presenting enlightening perspectives that encompass such diverse disciplines as computer science, mathematics, logic, psychology, and cognitive science.

MACHINE LEARNING TECHNIQUES AND ANALYTICS FOR CLOUD SECURITY This book covers new methods, surveys, case studies, and policy with almost all machine learning techniques and analytics for cloud security solutions The aim of Machine Learning Techniques and Analytics for Cloud Security is to integrate machine learning approaches to meet various analytical issues in cloud security.

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

This book constitutes the proceedings of the 20th INternational Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2020, held in Auckland, New Zealand, in February 2020.

This book gathers selected research papers presented at the Fifth International Conference on Communication and Intelligent Systems (ICCIS 2023), organized by Malaviya National Institute of Technology Jaipur, India, during December 16-17, 2023.

This handbook discusses challenges and limitations in existing solutions, and presents state-of-the-art advances from both academia and industry, in big data analytics and digital forensics.

This book presents practical as well as conceptual insights into the latest trends, tools, techniques and methodologies of blockchains for the Internet of Things.

Progress in the application of machine learning (ML) to the physical and life sciences has been rapid.

This book presents pattern-based problem-solving methods for a variety of machine learning and data analysis problems.

This volume provides the reader with a comprehensive and up-to-date treatise positioned at the junction of the areas of Machine Learning (ML) and Granular Computing (GrC).

Technology advances are making tech more .

The theory of data assimilation and machine learning is introduced in an accessible manner for undergraduate and graduate students.

Enhance your data science programming and analysis with the Wolfram programming language and Mathematica, an applied mathematical tools suite.

Image fusion in remote sensing or pansharpening involves fusing spatial (panchromatic) and spectral (multispectral) images that are captured by different sensors on satellites.

This volume offers a wealth of interdisciplinary approaches to artificial intelligence, machine learning and optimization tools, which contribute to the optimization of urban features towards forming smart, sustainable, and livable future cities.

In alignment with BCS AI Foundation and Essentials certificates, this introductory guide provides the understanding you need to start building artificial intelligence (AI) capability into your organisation.

Is Kubernetes ready for stateful workloads?

This book gives a comprehensive introduction to natural language processing (NLP) and its applications, covering the topics of multimodal data processing, Chinese word segmentation, new word discovery, named entity recognition, keyword analysis, and knowledge graph construction in terms of semantic analysis.

This book explores visualization and imputation techniques for missing values and presents practical applications using the statistical software R.

New to the second edition of this advanced text are several chapters on regression, including neural networks and deep learning.

This textbook describes the hands-on application of data science techniques to solve problems in manufacturing and the Industrial Internet of Things (IIoT).

The two-volume set LNBI 11465 and LNBI 11466 constitutes the proceedings of the 7th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2019, held in Granada, Spain, in May 2019.

As the 4th Industrial Revolution is restructuring human societal organization into, so-called, "e;Society 5.

Deep learning has achieved impressive results in image classification, computer vision and natural language processing.

This book focuses on essential aspects of the theoretical foundations that support blended learning (BL) as a teaching training modality in tertiary education.

This book opens with an introduction to the main purpose and tasks of the GIANA challenge, as well as a summary and an analysis of the results and performance obtained by the 20 participating teams.

Modern introduction to machine learning with neural networks.

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

Learn how to use R to apply powerful machine learning methods and gain insight into real-world applications using clustering, logistic regressions, random forests, support vector machine, and more.

An innovative and groundbreaking text explaining how wireless AI can determine position, sense motion and vital signs, and identify events and people.

Federated Learning: A Comprehensive Overview of Methods and Applications presents an in-depth discussion of the most important issues and approaches to federated learning for researchers and practitioners.

This book constitutes the thoroughly refereed conference proceedings of the International Conference for Smart Health, ICSH 2019, held in Shenzhen, China, in July 2019.