Independently published, 2022. — 287 p. This document contains a practical and comprehensive introduction of everything related to deep learning in the context of physical simulations. As much as possible, all topics come with hands-on code examples in the form of Jupyter notebooks to quickly get started. Beyond standard supervised learning from data, we’ll look at physical...
MDPI, 2023. — 422 p. Applied computing and artificial intelligence methods have attracted a growing interest in recent years due to their effectiveness at solving technical problems. Recent developments in applied mathematics have largely led to benefits for industrial tasks in different fields, including the aerospace industry, manufacturing, transportation, energy, robotics,...
IGI Global, 2023. — 326 p. This book is academically written as a guide for students and people interested in experimenting Data Mining using RapidMiner software. It covers the contents related to Data Mining, which consists of Classification, Deep Learning, Association Rule, Clustering, Recommendation System and RapidMiner Software usage as well as researching case studies on...
CRC Press, 2023. — 553 p. This book introduces artificial neural network (ANN)-based Lagrange optimization techniques for a structural design of prestressed concrete structures based on Eurocode 2, and composite structures based on American Institute of Steel Construction and American Concrete Institute standards. The book provides robust design charts for prestressed concrete...
Springer, 2023. — 921 p. This book features selected papers from the International Conference on Soft Computing for Security Applications (ICSCS 2023), held at Dhirajlal Gandhi College of Technology, Tamil Nadu, India, during April 21–22, 2023. It covers recent advances in the field of soft computing techniques such as fuzzy logic, neural network, support vector machines,...
Springer, 2023. — 111 p. This book demonstrates different methods (as well as real-life examples) of handling uncertainty like probability and Bayesian theory, Dempster-Shafer theory, certainty factor and evidential reasoning, fuzzy logic-based approach, utility theory and expected utility theory. At the end, highlights will be on the use of these methods which can help to make...
Springer, 2023. — 191 p. This book contains a selection of the best papers of the 34th Benelux Conference on Artificial Intelligence, BNAIC/ BENELEARN 2022, held in Mechelen, Belgium, in November 2022. The 11 papers presented in this volume were carefully reviewed and selected from 134 regular submissions. They address various aspects of artificial intelligence such as natural...
Springer, 2023. — 215 p. This book is as an extension of the previous two volumes on “Computer Vision and Machine Learning in Agriculture”. This volume 3 discusses solutions to the problems of agricultural production by rendering advanced machine learning including deep learning tools and techniques. The book contains 13 chapters that focus on in-depth research outputs in...
Springer, 2023. — 449 p. This book focuses on target tracking and information fusion with random finite sets. Both principles and implementations have been addressed, with more weight placed on engineering implementations. This is achieved by providing in-depth study on a number of major topics such as the probability hypothesis density (PHD), cardinalized PHD, multi-Bernoulli...
Packt, 2019. — 91 p. Associations and correlations are ways of describing how a pair of variables change together as a result of their connection. By knowing the various available techniques, you can easily and accurately discover and visualize the relationships in your data. This book begins by showing you how to classify your data into the four distinct types that you are...
Packt, 2023. — 905 p. Regularization is an infallible way to produce accurate results with unseen data, however, applying regularization is challenging as it is available in multiple forms and applying the appropriate technique to every model is a must. The Regularization Cookbook provides you with the appropriate tools and methods to handle any case, with ready-to-use working...
Manning, 2023. — 182 p. The book is the fast track to data presentations that inspire your audience and move them to action. Throughout the book, you’ll be guided by the principles of the DIKW (Data, Information, Knowledge, Wisdom) pyramid: a methodology that is the backbone of leading data management systems. Each chapter takes you hands-on with a new interesting data story,...
Springer. 2023. — 249 p. Unlike most available sources that focus on deep neural network (DNN) inference, this book provides readers with a single-source reference on the needs, requirements, and challenges involved with on-device, DNN training semiconductor and SoC design. The authors include coverage of the trends and history surrounding the development of on-device DNN...
O’Reilly, 2023. — 360 p. — Second Edition. This practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges you may encounter in your work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to address specific problems, from loading data to training models and leveraging neural...
Springer, 2023. — 155 p. This book demonstrates that the reliable and secure communication performance of maritime communications can be significantly improved by using intelligent reflecting surface (IRS) aided communication, privacy-aware Internet of Things (IoT) communications, intelligent resource management and location privacy protection. In the IRS aided maritime...
O’Reilly, 2023. — 266 p. — (Sixth Early Release). Whether based on academic theories or machine learning strategies, all financial models are at the mercy of modeling errors that can be mitigated but not eliminated. Probabilistic ML technologies are based on a simple and intuitive definition of probability and the rigorous calculus of probability theory. These systems treat...
Sergio Rojas-Galeano, 2023. — 186 p. Discover the world of Python programming with ChatGPT as your guide! Dive into essential concepts, solve engaging and fun challenges, and explore the limitless potential of coding. This joyful journey will empower you to master Python in just 100 prompts.
Packt, 2019. — 181 p. This book will serve as a quick introduction to the concept of data mining and putting it to practical use with the help of popular Python packages and libraries. You will get a hands-on demonstration of working with different real-world datasets and extracting useful insights from them using popular Python libraries such as NumPy, pandas, scikit-learn,...
Wiley, 2023. — 288 p. The book covers diverse applications of DRL to address various problems in wireless networks, such as caching, offloading, resource sharing, and security. The authors discuss open issues by introducing some advanced DRL approaches to address emerging issues in wireless communications and networking. Covering new advanced models of DRL, e.g., deep dueling...
Codi Byte, 2023. — 327 p. The book is the ultimate solution to mastering the potential of AI. Say goodbye to feeling overwhelmed and confused by the endless possibilities of AI. With our comprehensive guide, you will learn how to use Chat GPT to stimulate creativity, improve efficiency, assist in research, enhance education, and much more.
Manning, 2023. — 129 p. The book is the fast track to data presentations that inspire your audience and move them to action. Throughout the book, you’ll be guided by the principles of the DIKW (Data, Information, Knowledge, Wisdom) pyramid: a methodology that is the backbone of leading data management systems. Each chapter takes you hands-on with a new interesting data story,...
CRC Press, 2024. — 489 p. The book focuses on the research developments, limitations, and management of real-time problems using computational intelligence by identifying applicable approaches in order to enhance, automate, and develop effective solutions. The volume introduces empirical research, prospects of theoretical research, and applications in data science and...
Springer, 2023. — 91 p. This book is meant for readers who want to understand GANs without the need for a strong mathematical background. Moreover, it covers the practical applications of GANs, making it an excellent resource for beginners. A Primer on Generative Adversarial Networks is suitable for researchers, developers, students, and anyone who wishes to learn about GANs....
Manning, 2023. — 352 p. Discover all-practical implementations of the key algorithms and models for handling unlabelled data. Full of case studies demonstrating how to apply each technique to real-world problems. The book introduces mathematical techniques, key algorithms, and Python implementations that will help you build machine learning models for unannotated data. You’ll...
Manning, 2023. — 219 p. Causal AI teaches you how to build machine learning and deep learning models that implement causal reasoning. Discover why leading AI engineers are so excited by causal reasoning, and develop a high-level understanding of this next major trend in AI. New techniques are demonstrated with example models for solving industry-relevant problems. You’ll learn...
Springer, 2023. — 215 p. This book covers various, leading-edge deep learning technologies. The author discusses new applications of deep learning and gives insight into the integration of deep learning with various application domains, such as autonomous driving, augmented reality, AIOT, 5G and beyond.
Karthikeyan A.K., 2020. — 288 p. This book should be seen as my attempt to explain Data Science to my self and nothing more. Will this book rise to professional stature is yet to be seen. I was emboldened to write this book after my video series called Data Science With Julia got some traction. That too after a tweet about Decision Tree was liked by Julia Language itself.
BPB Publications, 2023. — 878 p. The book presents you with a thorough introduction to AI and Machine learning, starting from the basics and progressing to a comprehensive coverage of Deep Learning with Python. You will be introduced to the intuition of Neural Networks and how to design and train them effectively. Moving on, you will learn how to use Convolutional Neural...
Taylor & Francis, 1998. — 256 p. Knowledge representation is fundamental to the study of mind. All theories of psychological processing are rooted in assumptions about how information is stored. These assumptions, in turn, influence the explanatory power of theories. This book fills a gap in the existing literature by providing an overview of types of knowledge representation...
Apress, 2023. — 205 p. This book will help you evaluate different AI-driven predictive analytics techniques and help you incorporate decision intelligence into your business workflow through real-world examples. The book kicks off with an introduction to decision intelligence and provides insight into prescriptive AI and how it can be woven into various business strategies and...
Springer, 2023. — 446 p. This book offers a comprehensive collection of research articles that utilize data—in particular large data sets—in modern power systems operation and planning. As the power industry moves towards actively utilizing distributed resources with advanced technologies and incentives, it is becoming increasingly important to benefit from the available...
Packt, 2019. — 403 p. Learn how to build complete machine learning systems with IBM Cloud and Watson Machine learning services Key Features Implement data science and machine learning techniques to draw insights from real-world data Understand what IBM Cloud platform can help you to implement cognitive insights within applications Understand the role of data representation and...
Springer, 2023. — 491 p. This book gathers extended versions of papers presented at DoSIER 2022 (Fourth Doctoral Symposium on Intelligence Enabled Research, held at Cooch Behar Government Engineering College, West Bengal, India, during 22–23 December 2022). The papers address the rapidly expanding research area of computational intelligence, which, no longer limited to specific...
Routledge, 2023. — 219 p. Machine Learning in Translation introduces machine learning (ML) theories and technologies that are most relevant to translation processes, approaching the topic from a human perspective and emphasizing that ML and ML-driven technologies are tools for humans. Providing an exploration of the common ground between human and machine learning and of the...
Springer, 2023. — 353 p. Computational intelligence consists of those techniques that imitate the human brain and nature to adopt the decision-making approach. This book contains selected papers from the 8th International Conference on Computers, Management and Mathematical Sciences (ICCM) 2022 about fuzzy systems, neural networks and evolutionary computation that can address...
Springer, 2023. — 150 p. Sentiment analysis deals with extracting information about opinions, sentiments, and even emotions conveyed by writers towards topics of interest. Medical sentiment analysis refers to the identification and analysis of sentiments or emotions expressed in free-textual documents with a scope on healthcare and medicine. This fascinating problem offers...
CRC Press, 2024. — 281 p. This new volume presents a range of techniques that aim to enhance the operation of human resource management by applying state-of-the-art artificial intelligence technology. With illustrative case studies, the volume uses examples from several real-life problems and includes their possible solutions using advanced AI technology. The book explores the...
IGI Global, 2022. — 2023 p. Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different...
Wiley, 2023. — 41 p. Welcome to ChatGPT for Dummies! This book is a comprehensive guide to understanding and using ChatGPT, one of the most advanced language models in the world. Whether you’re a curious beginner or a seasoned developer, this book will help you unlock the full potential of ChatGPT and leverage its power for your own projects. ChatGPT is an artificial...
Packt, 2018. — 296 p. In this book, Rachel Batish introduces us to the world of conversational applications, bots and AI. You'll discover how - with little technical knowledge - you can build successful and meaningful conversational UIs. You'll find detailed guidance on how to build and deploy bots on the leading conversational platforms, including Amazon Alexa, Google Home,...
Springer, 2023. — 188 p. — Proceedings of 4th International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2022 - Progress in Algorithms and Applications of Deep Learning The book (proceedings of the 4th International Conference on Deep Learning, Artificial Intelligence and Robotics (ICDLAIR) 2022) introduces key topics from artificial intelligence...
Mark Adelson, 2023. — 200 p. Discover the secrets to unlocking the immense potential of AI and transform your online business with "The ChatGPT Goldrush: Profiting from the AI Revolution Online - Mastering Prompt Engineering". This comprehensive guide will empower you to leverage ChatGPT's powerful capabilities to achieve impressive results and create new income streams. What's...
BPB Publications, 2019. — 137 p. This book makes you familiar with the concept of the chatbot. It explains what chatbot is, how does a chatbot work, and what exactly is the need for a chatbot in today’s era? It focuses on creating a bot using Amazon’s Lex service and getting the bot deployed on Facebook messenger for live chatting. This book will train you on how to create a...
CRC Press, 2023. — 223 p. This book explores how to use generative adversarial networks in a variety of applications and emphasises their substantial advancements over traditional generative models. It concentrates on cutting-edge research in DL and GAN which includes creating new tools and methods for processing text, images, and audio.
De Gruyter, 2023. — 216 p. The book offers a hands-on guide for scientific processing of data for the practitioner. It covers the range from "getting hands on" experimental results to ensuring their use for addressing possible future questions unknown at the time of analysis. Code snippets are provided to adjust the proposed workstream to specific needs of the reader.
Springer, 2023. — 484 p. Have you ever wondered how AlphaZero learns to defeat the top human Go players? Do you have any clues about how an autonomous driving system can gradually develop self-driving skills beyond normal drivers? What is the key that enables AlphaStar to make decisions in Starcraft, a notoriously difficult strategy game that has partial information and complex...
Packt, 2023. — 318 p. Computer vision is a crucial component of many modern businesses, including automobiles, robotics, and manufacturing, and its market is growing rapidly. This book helps you explore Detectron2, Facebook's next-gen library providing cutting-edge detection and segmentation algorithms. It's used in research and practical projects at Facebook to support...
Springer, 2023. — 434 p. The 18th European Advanced Course on AI (ACAI) took place in Berlin on 11-15 October 2021, organized by the European project Humane-AI Net in collaboration with the European AI Association (EURAI). The school included tutorials on different topics, which were selected through an open call to top European AI researchers. In addition, the school also...
Packt, 2023. — 514 p. A power-packed manual to enhance your decision-making with the application of Business Rules using KIE, Drools, Kogito, MS Excel, Power Automate, Office Script, and MS Forms Purchase of the print or Kindle book includes a free PDF eBook Key Features: Explore the business rule tools by implementing real-world examples to write sophisticated rules Discover...
Wiley, 2022. — 53 p. In this book, we focus on the commercial applications of graph analysis and graph-enhanced machine learning (ML), which takes the form of graph data science. We also use Neo4j graph technology to illustrate a graph data science platform. You take a quick look at graph data science and its uses before covering the journey of graph data science adoption. You...