Artificial intelligence (AI) Books
Springer Verlag, Singapore Biometric Recognition: 17th Chinese Conference,
Book SynopsisThis book constitutes the proceedings of the 17th Chinese Conference, CCBR 2023, held in Xuzhou, China, during December 1–3, 2023. The 41 full papers included in this volume were carefully reviewed and selected from 79 submissions. The volume is divided in topical sections named: Fingerprint, Palmprint and Vein Recognition; Face Detection, Recognition and Tracking; Affective Computing and Human-Computer Interface; Trustworthy, Privacy and Personal Data Security; Medical and Other Applications. Table of ContentsFingerprint, Palmprint and Vein Recognition.- Face Detection, Recognition and Tracking.- Affective Computing and Human-Computer Interface.- Gait, Iris and Other Biometrics.- Trustyworth, Privacy and Persondal Data Security.- Medical and Other Applications.
£61.74
Hamad Bin Khalifa University Press Digital Eternity
Book SynopsisText in Arabic. What will our life look like with the rapid advancement and development of artificial intelligence? How will AI driven workforces impact the labour market? Can artificial intelligence systems monitor our health and keep our vital elements under control? And the most important and terrifying question of all, will robots become conscious and aware resulting in the ability to take over control of the world? If the answers to these questions interest you, then you need to read this book. Delve into the fourth industrial revolution of artificial intelligence technology to explore its beginnings, importance, branches and the most significant areas of its application, such as in the medical, industrial, economic, and military fields. This book explains how the human brain works and points out the similarities it shares with the ever-evolving computer. Specialists and leading experts share their concerns and the risks about artificial intelligence and discuss their opinions.
£5.99
Independently Published Google Bard: L'Intelligence Artificielle
Book Synopsis
£10.78
Association of Computing Machinery,U.S. Geospatial Data Science: A Hands-on Approach for
Book SynopsisThis introductory textbook teaches the simple development of geospatial applications based on the principles and software tools of geospatial data science. It introduces a new generation of geospatial technologies that have emerged from the development of the Semantic Web and the linked data paradigm, and shows how data scientists can use them to build environmental applications easily. Geospatial data science is the science of collecting, organizing, analyzing, and visualizing geospatial data. Since around 2010, there has been extensive work in the area of geospatial data science using semantic technologies and linked data, from researchers in the areas of the Semantic Web, Geospatial Databases and Geoinformatics. The main results of this research have been the publication of the OGC standard GeoSPARQL and the implementation of a number of linked data tools supporting this standard. Up to now, there has been no textbook that enables someone to teach this material to undergraduate or graduate students.The material of the book is developed in a tutorial style and it is appropriate for an introductory course on the subject. This can be an advanced undergraduate course or a graduate course offered by Computer Science or GIS faculty. It is a hands-on approach and every chapter contains exercises that help students master the material.The book is accompanied by a Web site where solutions to some of the exercises are given together with supplementary material such as datasets and code. Most of the material in the book has been tried in the "Knowledge Technologies" course taught by the first author in the Department of Informatics and Telecommunications of the National and Kapodistrian University of Athens since 2012.
£42.46
Association of Computing Machinery,U.S. Geospatial Data Science: A Hands-on Approach for Building Geospatial Applications using Linked Data Technologies
Book SynopsisThis introductory textbook teaches the simple development of geospatial applications based on the principles and software tools of geospatial data science. It introduces a new generation of geospatial technologies that have emerged from the development of the Semantic Web and the linked data paradigm, and shows how data scientists can use them to build environmental applications easily. Geospatial data science is the science of collecting, organizing, analyzing, and visualizing geospatial data. Since around 2010, there has been extensive work in the area of geospatial data science using semantic technologies and linked data, from researchers in the areas of the Semantic Web, Geospatial Databases and Geoinformatics. The main results of this research have been the publication of the OGC standard GeoSPARQL and the implementation of a number of linked data tools supporting this standard. Up to now, there has been no textbook that enables someone to teach this material to undergraduate or graduate students.The material of the book is developed in a tutorial style and it is appropriate for an introductory course on the subject. This can be an advanced undergraduate course or a graduate course offered by Computer Science or GIS faculty. It is a hands-on approach and every chapter contains exercises that help students master the material.The book is accompanied by a Web site where solutions to some of the exercises are given together with supplementary material such as datasets and code. Most of the material in the book has been tried in the "Knowledge Technologies" course taught by the first author in the Department of Informatics and Telecommunications of the National and Kapodistrian University of Athens since 2012.
£56.00
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Beginning Anomaly Detection Using Python-Based Deep Learning: Implement Anomaly Detection Applications with Keras and PyTorch
Book SynopsisThis beginner-oriented book will help you understand and perform anomaly detection by learning cutting-edge machine learning and deep learning techniques. This updated second edition focuses on supervised, semi-supervised, and unsupervised approaches to anomaly detection. Over the course of the book, you will learn how to use Keras and PyTorch in practical applications. It also introduces new chapters on GANs and transformers to reflect the latest trends in deep learning. Beginning Anomaly Detection Using Python-Based Deep Learning begins with an introduction to anomaly detection, its importance, and its applications. It then covers core data science and machine learning modeling concepts before delving into traditional machine learning algorithms such as OC-SVM and Isolation Forest for anomaly detection using scikit-learn. Following this, the authors explain the essentials of machine learning and deep learning, and how to implement multilayer perceptrons for supervised anomaly detection in both Keras and PyTorch. From here, the focus shifts to the applications of deep learning models for anomaly detection, including various types of autoencoders, recurrent neural networks (via LSTM), temporal convolutional networks, and transformers, with the latter three architectures applied to time-series anomaly detection. This edition has a new chapter on GANs (Generative Adversarial Networks), as well as new material covering transformer architecture in the context of time-series anomaly detection. After completing this book, you will have a thorough understanding of anomaly detection as well as an assortment of methods to approach it in various contexts, including time-series data. Additionally, you will have gained an introduction to scikit-learn, GANs, transformers, Keras, and PyTorch, empowering you to create your own machine learning- or deep learning-based anomaly detectors. What You Will Learn Understand what anomaly detection is, why it it is important, and how it is applied Grasp the core concepts of machine learning. Master traditional machine learning approaches to anomaly detection using scikit-kearn. Understand deep learning in Python using Keras and PyTorch Process data through pandas and evaluate your model's performance using metrics like F1-score, precision, and recall Apply deep learning to supervised, semi-supervised, and unsupervised anomaly detection tasks for tabular datasets and time series applications Who This Book Is For Data scientists and machine learning engineers of all levels of experience interested in learning the basics of deep learning applications in anomaly detection.Table of Contents
£42.49
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Understanding Large Language Models: Learning Their Underlying Concepts and Technologies
Book SynopsisThis book will teach you the underlying concepts of large language models (LLMs), as well as the technologies associated with them. The book starts with an introduction to the rise of conversational AIs such as ChatGPT, and how they are related to the broader spectrum of large language models. From there, you will learn about natural language processing (NLP), its core concepts, and how it has led to the rise of LLMs. Next, you will gain insight into transformers and how their characteristics, such as self-attention, enhance the capabilities of language modeling, along with the unique capabilities of LLMs. The book concludes with an exploration of the architectures of various LLMs and the opportunities presented by their ever-increasing capabilities—as well as the dangers of their misuse. After completing this book, you will have a thorough understanding of LLMs and will be ready to take your first steps in implementing them into your own projects. What You Will Learn Grasp the underlying concepts of LLMs Gain insight into how the concepts and approaches of NLP have evolved over the years Understand transformer models and attention mechanisms Explore different types of LLMs and their applications Understand the architectures of popular LLMs Delve into misconceptions and concerns about LLMs, as well as how to best utilize them Who This Book Is For Anyone interested in learning the foundational concepts of NLP, LLMs, and recent advancements of deep learningTable of ContentsChapter 1: Introduction.- Chapter 2: NLP Through the Ages.- Chapter 3: Transformers.- Chapter 4: What Makes LLMs Large?.- Chapter 5: Popular LLMs.- Chapter 6: Threats, Opportunities, and Misconceptions.
£31.99
Apress Introduction to Python and Large Language Models
Book SynopsisChapter 1: Evolution and Significance of Large Language Models.- Chapter 2: What Are Large Language Models?.- Chapter 3: Python for LLMs.- Chapter 4: Python and Other Programming Approaches.- Chapter 5: Basic overview of the components of the LLM architectures.- Chapter 6: Applications of LLMs in Python.- Chapter 7: Harnessing Python 3.11 and Python Libraries for LLM Development.
£52.24
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Generative AI in Banking Financial Services and Insurance
Book SynopsisThis book explores the integration of Generative AI within the Banking, Financial Services, and Insurance (BFSI) sector, elucidating its implications, applications, and the future landscape of BFSI. The first part delves into the origins and evolution of Generative AI, providing insights into its mechanics and applications within the BFSI context. It goes into the core technologies behind Generative AI, emphasizing their significance and practical applications. The second part explores how Generative AI intersects with core banking processes, ranging from transactional activities to customer support, credit assessment, and regulatory compliance. It focuses on the digital transformation driving investment banking into the future. It also discusses AI's role in algorithmic trading, client interactions, and regulatory adaptations. It analyzes AI-driven techniques in portfolio management, customer-centric solutions, and the next-generation approach to financial planning and advisory matters. The third part equips you with a structured roadmap for AI adoption in BFSI, highlighting the steps and the challenges. It outlines clear steps to assist BFSI institutions in incorporating Generative AI into their operations. It also raises awareness about the moral implications associated with AI in the BFSI sector. By the end of this book you will understand Generative AI's present and future role in the BFSI sector. What You Will LearnKnow what Generative AI is and its applications in the BFSI sectorUnderstand deep learning and its significance in generative modelsAnalyze the AI-driven techniques in portfolio management and customer-centric solutionsKnowthe future of investment banking and trading with AIKnow the challenges of integrating AI into the BFSI sectorWho This Book Is ForProfessionals in the BFSI and IT sectors, including system administrators and programmers
£49.49
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Building Applications with Large Language Models
Book SynopsisThis book delves into a broad spectrum of topics, covering the foundational aspects of Large Language Models (LLMs) such as PaLM, LLaMA, BERT, and GPT, among others. The book takes you through the complexities involved in creating and deploying applications based on LLMs, providing you with an in-depth understanding of the model architecture. You will explore techniques such as fine-tuning, prompt engineering, and retrieval augmented generation (RAG). The book also addresses different ways to evaluate LLM outputs and discusses the benefits and limitations of large models. The book focuses on the tools, techniques, and methods essential for developing Large Language Models. It includes hands-on examples and tips to guide you in building applications using the latest technology in Natural Language Processing (NLP). It presents a roadmap to assist you in navigating challenges related to constructing and deploying LLM-based applications. By the end of the book, you will understand LLMs and build applications with use cases that align with emerging business needs and address various problems in the realm of language processing. What You Will LearnBe able to answer the question: What are Large Language Models?Understand techniques such asprompt engineering, fine-tuning, RAG, and vector databasesKnowthe best practices for effective implementationKnow the metrics and frameworks essential for evaluating the performance of Large Language ModelsWho This Book Is ForAn essential resource for AI-ML developers and enthusiasts eager to acquire practical, hands-on experience in this domain; also applies to individuals seeking a technical understanding of Large Language Models (LLMs) and those aiming to build applications using LLMs
£41.24
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Generative AI in Education
Book SynopsisAs artificial intelligence (AI) rapidly transforms education, tools like ChatGPT and Claude are revolutionizing the way we teach and learn. This book is a groundbreaking book that empowers parents and students to navigate this exciting new frontier, filling a critical gap in the current literature. As the first comprehensive guide to generative AI in education designed for parents and students, Generative AI in Education is positioned to become an indispensable resource. It provides the knowledge and strategies needed to effectively integrate AI into their learning journeys, transforming educational outcomes and preparing students for success in a rapidly changing world.You'll gain a deep understanding of how tools like ChatGPT and Claude work, and how they can be leveraged to support learning across various subjects and grade levels. You'll then see how to create clear, specific, and engaging prompts that elicit valuable responses from AI-powered tools. This book contains all the techniques for tailoring prompts to different learning objectives, styles, and contexts, and how they can use AI tools to support reading comprehension, writing skills, problem-solving, and creative thinking.What You Will LearnApply generative AI in educationCraft effective prompts for personalized learning experiencesUtilize AI tools to support learning, creativity, and problem-solvingWho This Book is ForParents and students who are eager to harness the power of generative AI to enhance learning experiences and prepare for success in an AI-driven future
£35.99
Apress Architecting Enterprise AI Applications
Book SynopsisPart 1: Defining Your AI Application.- Chapter 1: Human Flexibility and AI Specialization.- Chapter 2: Meta Systems.- Chapter 3: Prediction Machines.- Part 2: Designing Your AI Application.- Chapter 4: Anatomy of an AI Application.- Chapter 5: Data, Machine Learning, and Reasoners.- Chapter 6: Large Language Models (LLMs).- Chapter 7: AI Agents.- Part 3: Maintaining Your AI Application.- Chapter 8: Testing Your Enterprise AI Application.- Chapter 9: Testing automation for enterprise ai applications.- Chapter 10: Security.- Chapter 11: Information Curation.- Part 4: AI Enabled Teams.- Chapter 12: Remote Work and Reskilling.- Chapter 13: Expert Personas.- Chapter 14: The Role of the AI Handler.- Chapter 15: Legal and Ethical Considerations.
£37.49
Apress Predictive Analytics with SAS and R
Book SynopsisChapter 1 Introduction to Analytics.- Chapter 2 Simple Linear Regression.- Chapter 3 Multiple Linear Regression.- Chapter 4 Multivariate Analysis and Prediction.- Chapter 5 Time Series Analysis.
£49.49
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG AI Essentials Guide
Book SynopsisThis is a comprehensive exploration into the world of Artificial Intelligence, designed to bridge the gap between theoretical concepts and practical, real-world applications. This book unravels the mystique of AI, breaking down its components into understandable elements. From the early dawn of AI's inception to its current state of rapid evolution, we cover the essential building blocks necessary for leveraging AI in business, and personal development, and understanding its broader impacts on society. Through an engaging conversational format, readers are guided through the intricacies of AI, covering topics such as machine learning, AI governance,, data security, and the ethical challenges facing AI today. This book is an invaluable resource for those looking to understand the fundamentals of AI, its practical applications, and its significant implications for the future. After reading this book, you will be able to integrate AI into your business strategies and learn the intricacies of AI advancements. What You Will Learn:Key concepts and definitions within AI, including types of AI, machine learning, and neural networks and how they are utilized in AI apps like M365 CopilotPractical applications of AI for personal and business growth, focusing on the pillars of using AI to evolve these fronts effectively and sustainablyHow AI is transforming businesses and what organizational shifts must be made to realize the valueNavigating the challenges and ethical considerations in AI to ensure informed and responsible usageWho This Book Is For:Professionals looking to integrate AI into their business strategies or organizations.
£41.24
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Optimizing Generative AI Workloads for Sustainability
Book SynopsisThis comprehensive guide provides practical strategies for optimizing Generative AI systems to be more sustainable and responsible. As advances in Generative AI such as large language models accelerate, optimizing these resource-intensive workloads for efficiency and alignment with human values grows increasingly urgent. The book starts with the concept of Generative AI and its wide-ranging applications, while also delving into the environmental impact of AI workloads and the growing importance of adopting sustainable AI practices. It then delves into the fundamentals of efficient AI workload management, providing insights into understanding AI workload characteristics, measuring performance, and identifying bottlenecks and inefficiencies. Hardware optimization strategies are explored in detail, covering the selection of energy-efficient hardware, leveraging specialized AI accelerators, and optimizing hardware utilization and scheduling for sustainable operations. You are also guided through software optimization techniques tailored for Generative AI, including efficient model architecture, compression, and quantization methods, and optimization of software libraries and frameworks. Data management and preprocessing strategies are also addressed, emphasizing efficient data storage, cleaning, preprocessing, and augmentation techniques to enhance sustainability throughout the data life cycle. The book further explores model training and inference optimization, cloud and edge computing strategies for Generative AI, energy-efficient deployment and scaling techniques, and sustainable AI life cycle management practices, and concludes with real-world case studies and best practicesBy the end of this book, you will take away a toolkit of impactful steps you can implement to minimize the environmental harms and ethical risks of Generative AI. For organizations deploying any type of generative model at scale, this essential guide provides a blueprint for developing responsible AI systems that benefit society. What You Will LearnUnderstand how Generative AI can be more energy-efficient through improvements such asmodel compression, efficient architecture, hardware optimization, and carbon footprint trackingKnowthe techniques to minimize data usage, includingevaluation, filtering, synthesis, few-shot learning, and monitoring data demands over timeUnderstand spanning efficiency, data minimization, and alignment for comprehensive responsibilityKnow the methods for detecting, understanding, and mitigating algorithmic biases, ensuring diversity in data collection, and monitoring model fairnessWho This book Is ForProfessionals seeking to adopt responsible and sustainable practices in their Generative AI work; leaders and practitioners who need actionable strategies and recommendations that can be implemented directly in real-world systems and organizational workflows; ML engineers and data scientists building and deploying Generative AI systems in industry settings; and researchers developing new generative AI techniques, such as at technology companies or universities
£39.99
Apress AIPowered Ecommerce
Book SynopsisChapter 1: Decoding Ecommerce: Business Models for Delivering Value.- Chapter 2: Ecommerce Platform: Journey from Click to Conversion.- Chapter 3: Ecommerce Merchandising: Presenting Curated Products.- Chapter 4: Ecommerce Search: Matching Query to Products.- Chapter 5: Recommendations: Creating Curated Choices.- Chapter 6: Ranking Algorithms: The Science of Sorting.- Chapter 7: Personalization: AI-crafted Personalized Experiences.- Chapter 8: Efficiency: Efficient Ecommerce Deliveries.
£35.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Beginning ChatGPT for Python
Book SynopsisUnlock the future of software development and empower yourself to elevate your Python applications by harnessing the power of AI as this field continues to grow and evolve. Perfect for beginner to intermediate Python programmers, this book breaks down the essentials of using ChatGPT and OpenAI APIs. You'll start with the basics, learning to authenticate, send prompts, generate responses, test in the Playground, and handle errors with ease. Each chapter includes hands-on exercises that bring concepts to life, demonstrating different API functionalities and practical applications. You'll master models like GPT-4o, GPT-4, GPT-3.5, Whisper, and DALL-E, enabling you to enhance your applications with cutting-edge AI. Discover how generative AI tools like ChatGPT can automate tedious tasks rather than replace jobs. Leverage ChatGPT's powerful Natural Language Processing (NLP) capabilities to handle various formats of unstructured text within your Python apps. Quickly see how easy it is to use ChatGPT as your AI-pair programmer, boosting your productivity and speed. This step-by-step guide will have you creating intelligent chatbots that can automatically process messages from Slack or Discord. With Beginning ChatGPT for Python, you'll master the ChatGPT and OpenAI APIs, building intelligent applications that offer a personalized and engaging user experience. What You'll LearnConnect with the ChatGPT and OpenAI APIs and send effective prompts. Harness parameters like temperature and top_p to create unique and engaging responses from ChatGPT. Create an intelligent assistant bot for Slack that automates tasks and enhances productivity. Develop a bot that can moderate conversations and manage communities on Discord. Add context to your prompts to get more accurate and relevant responses. Who This Book Is ForPython developers and enthusiasts who aspire to employ OpenAI and ChatGPT in the creation of intelligent applications to enhance productivity.
£41.24
Apress Generative AI For Executives
Book SynopsisChapter 1: Unraveling the Basics of Generative AI.- Chapter 2: Exploring the Transformative Potential of Generative AI.- Chapter 3: Revolutionizing Content: Generative AI in Marketing and Advertising.- Chapter 4: Elevating Customer Interactions with Generative AI.- Chapter 5: Streamlining Operations through Generative AI.- Chapter 6: Pioneering Products with Generative AI.- Chapter 7: Charting the Course: Strategies for Successful Generative AI Implementation.- Chapter 8: Navigating Risks and Legalities of Generative AI.- Chapter 9: Quantifying Success: Evaluating the ROI of Generative AI Initiatives.- Chapter 10: Looking Ahead: Preparing for the Future of Generative AI.
£37.49
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Organizing for Generative AI and the Productivity Revolution
Book SynopsisAs leaders plan to make significant investments to harness the power of foundational models such as ChatGPT, they need to understand the changes in organizational behaviors required for the successful implementation of such systems. The size, complexity and nature of this new wave of technologies requires a refresh in roles and responsibilities in conventional IT organizations. This book reveals practical and no-nonsense guidance on how to leverage generative AI to transform your business processes and organizational structures to achieve breakthroughs in efficiency, effectiveness and competitive advantage. Written in a lively, engaging, and often humorous style, this work provides practical insights and timely survival skills for leaders with anonymous but real-world experiences and case studies. If you're looking to understand how large language foundation models such as ChatGPT are reshaping managerial roles and organizational structures, and how they can leverage this knowledge to survive and thrive in this brave new world then Organizing for Generative AI and the Productivity Revolution is the book for you. What You Will Learn Review the key changes in current state roles and responsibilities that are required to successfully deploy generative AI systemsExamine the organizational reporting structures and associated incentives that form a strong generative AI systemUnderstand the financial, regulatory, and operational risks created by organizational behavioral issues that arise when organizations build and deploy large language modelsCompare the strategic differences in emerging versus traditional organizational behaviors, incentives, roles and responsibilitiesWho This Book Is ForExecutives and team leaders at enterprises large and small. The book addresses an important topic: how to set up an organization for success, particularly in Generative AI. Generative AI brings new challenges to organizations in terms of how to structure the organization for success, mitigating risks, software development lifecycle, and tracking ROI. I could think of no better person to tackle these issues than Arthur O'Connor, who has extensive experience in technology within some of the largest enterprises in Wall Street, complemented by his academic background. He brings an insightful and unique perspective for technology leaders who want to set up their organizations for success in Generative AI.- Joseph Sabelja, Generative AI Firmwide Platform Lead, J P Morgan
£35.99
Apress AI for Robotics
Book SynopsisChapter 1: Introduction: General Purpose Robotics.- Chapter 2: Robot Perception: Sensors and Image Processing.- Chapter 3: Robot Perception: 3D Data and Sensor Fusion.- Chapter 4: Foundation Models in Robotics.- Chapter 5: Simulation.- Chapter 6: Mapping, Localization, and Navigation.- Chapter 7: Reinforcement Learning and Control.- Chapter 8: Self Driving Cars.- Chapter 9: Industrial Robotics.- Chapter 10: Humanoid Robotics.- Chapter 11: Data-Driven Robotics in Practice.
£41.24
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Handson Deep Learning
Book SynopsisThis book discusses deep learning, from its fundamental principles to its practical applications, with hands-on exercises and coding. It focuses on deep learning techniques and shows how to apply them across a wide range of practical scenarios. The book begins with an introduction to the core concepts of deep learning. It delves into topics such as transfer learning, multi-task learning, and end-to-end learning, providing insights into various deep learning models and their real-world applications. Next, it covers neural networks, progressing from single-layer perceptrons to multi-layer perceptrons, and solving the complexities of backpropagation and gradient descent. It explains optimizing model performance through effective techniques, addressing key considerations such as hyperparameters, bias, variance, and data division. It also covers convolutional neural networks (CNNs) through two comprehensive chapters, covering the architecture, components, and significance of kernels implementing well-known CNN models such as AlexNet and LeNet. It concludes with exploring autoencoders and generative models such as Hopfield Networks and Boltzmann Machines, applying these techniques to a diverse set of practical applications. These applications include image classification, object detection, sentiment analysis, COVID-19 detection, and ChatGPT. By the end of this book, you will have gained a thorough understanding of deep learning, from its fundamental principles to its innovative applications, enabling you to apply this knowledge to solve a wide range of real-world problems. What You Will LearnWhat are deep neural networks?What is transfer learning, multi-task learning, and end-to-end learning?What are hyperparameters, bias, variance, and data division?What are CNN and RNN?Who This Book Is ForMachine learning engineers, data scientists, AI practitioners, software developers, and engineers interested in deep learning
£43.99
Apress Essential Data Analytics Data Science and AI
Book SynopsisChapter 1: Introduction.- Chapter 2: Obtaining Data.- Chapter 3: ETL Pipeline.- Chapter 4: Exploratory Data Analysis.- Chapter 5: Machine Learning Models.- Chapter 6: Evaluating Models.- Chapter 7: When To Use Machine Learning Models.- Chapter 8: Where Machine Learning Models Live.- Chapter 9: Telemetry.- Chapter 10: Adversaries and Abuse.- Chapter 11: Working With Models.
£37.49
Apress Natural Language Processing on Oracle Cloud Infrastructure
Book SynopsisPart 1: Foundations and Case Study Introduction.- Chapter 1: NLP Essentials.- Chapter 2: Oracle Cloud for NLP.- Chapter 3: Healthcare NLP Case Study.- Part2: Case Study Implementation.- Chapter 4: Tenancy Preparation.- Chapter 5: Dataset Preparation.- Chapter 6: Model Fine-tuning.- Part 3: Case Study Deployment and Wrap-Up.- Chapter 7: Model Deployment and Monitoring.- Chapter 8: MLOps and Conclusion.
£43.99
Apress The Definitive Guide to Machine Learning Operations in AWS
Book SynopsisChapter 1: Introduction to MLOps.- Chapter 2: Foundations of MLOps on AWS.- Chapter 3: Operational Excellence in MLOps.- Chapter 4: Security in MLOps.- Chapter 5: Reliability in MLOps.- Chapter 6: Performance Efficiency in MLOps.- Chapter 7: Cost Optimization in MLOps.- Chapter 8 MLOps Best Practices and Case Studies.- Chapter 9: MLOps for GenAI.- Chapter 10: Future Trends in MLOps.
£52.24
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Building Generative AI Agents
Book Synopsis
£39.99
Apress Responsible AI in Practice
Book SynopsisPart I: Introduction.- Chapter 1: Responsible AI and AI Governance.- Part II: Technical risks (Internal to an organisation).- Chapter 2. Accuracy.- Chapter 3. Robustness and Security.- Chapter 4: Explainability.- Part III: Ethical risks (External).- Chapter 5. Fairness and Human Rights.- Chapter 6: Privacy.- Chapter 7: Sustainability.- Chapter 8: Human-Centered AI.- Part IV: Governance and Case studies.- Chapter 9: Governance Processes.- Chapters 10: Case Study.
£41.24
£39.99
Apress A Practical Guide for Mastering Generative AI Applications Using Amazon Bedrock
Book SynopsisChapter 1: Introduction to Generative AI.- Chapter 2: Generative AI with AWS.- Chapter 3: Introduction to Amazon Bedrock.- Chapter 4: Overview of Prompt Engineering and In-Context Learning.- Chapter 5: Overview of Use Cases in this Book.- Chapter 6: Overview of Retrieval-Augmented Generation (RAG).- Chapter 7: Overview of Amazon Bedrock Knowledge Base.- Chapter 8: Overview of Safeguard's Practice.- Chapter 9: Overview of Amazon Bedrock Agents.- Chapter 10: Overview of Model Customization.- Chapter 11: Overview of Model Evaluation.- Chapter 12: Overview of Best Model Selection and Best Practices.- Chapter 13: Overview of Security and Privacy of Amazon Bedrock.- Chapter 14: Overview of GenAIOps.- Chapter 15: Overview of Prompt Management.- Chapter 16: Overview of Prompt Flow. – Chapter 17: Overview of Provisional Throughput. – Chapter 18: Overview of Image Capabilities. – Chapter 19: Overview of Multimodal Capabilities. – Chapter 20: Conclusion.
£37.39
Apress Conceptual Variable Design for Scorecards
Book SynopsisChapter 1: Conceptual Representations.- Chapter 2: Conceptual Modelling.- Chapter 3: Balance Equation.- Chapter 4: Ratios.- Chapter 5: Time and Behavioral Patterns.-Chapter 6: Additional Variables.- Chapter 7: Things to Know About ABTs.- Chapter 8 The Building Plan and Variable Management.- Chapter 9: Target Population.- Chapter 10: The ABT Building Process.- Chapter 11: A Brief Introduction to the use of SAS® Enterprise MinerTM.- Chapter 12: Partitioning.- Chapter 13: Univariable Analysis.- Chapter 14: Collinearity Analysis.- Chapter 15: Weight of Evidence.- Chapter 16: Multivariable Selection Methods.- Chapter 17: Experimental Design and Hyperoptimization.- Chapter 18: The Main-Effects Model.- Chapter 19: The Scoring Process.- Chapter 20: Closing Thoughts.
£55.24
Apress Mastering Text Analytics
Book SynopsisChapter 1. Natural Language Processing: An Introduction.- Chapter 2. Collecting and Extracting the Data for NLP Projects.- Chapter 3. NLP Data Preprocessing Tasks Involving Strings & Python Regular Expressions.- Chapter 4. NLP Data Preprocessing Tasks with nltk.- Chapter 5. Lexical Analysis.- Chapter 6. Syntactic and Semantic Techniques in NLP.- Chapter 7. Advanced Pragmatic Techniques and Specialized Topics in NLP.- Chapter 8. Transformers, Generative AI, & LangChain.- Chapter 9. Advancing with LangChain & OpenAI.- Chapter 10. Case Study on Symantec Analysis.
£43.99
Apress NoOps
£37.49
Independently Published Gemini Unveiled: Navigating Human-AI Fusion, from
Book Synopsis
£11.95
Nova Science Publishers Inc Applications of Artificial Intelligence in the
Book Synopsis
£113.59
Information Age Publishing AI Enabled Business: A Smart Decision Kit
Book SynopsisAs the use of AI becomes more and more ubiquitous in companies around the world, managers charged with taking key decisions require resources to enable them to evaluate new projects effectively. The business case for AI projects is not necessarily clear cut and part of the reason for this is the lack of understanding on key decision criteria. AI touches on many ethical concepts - data privacy, validity and more importantly, its potential misuse. AI is often being used to replace human decision-making and there is often no real understanding of the implications of this. This book provides a detailed primer for practitioners without a deep technological background. It guides the reader through the basic issues and offers advice on 'how to take decisions'. There is a dearth of such books currently available and this book aspires to fill a growing niche.Trade ReviewThis book is sure to offer value to business users, students and the general public."" — K. Ananth Krishnan, Tata Consultancy Services""I highly recommend this book for the leader seeking an up-to-date review of AI to make strategic investments."" — Kes Sampanthar, Innovation, BCG Brighthouse""The AI Enabled Organization is the perfect tool to embark on a thorough assessment of what AI means for your business."" — Arno Fehler, Schmidt Kranz Group, Germany
£36.86
Information Age Publishing AI Enabled Business: A Smart Decision Kit
Book SynopsisAs the use of AI becomes more and more ubiquitous in companies around the world, managers charged with taking key decisions require resources to enable them to evaluate new projects effectively. The business case for AI projects is not necessarily clear cut and part of the reason for this is the lack of understanding on key decision criteria. AI touches on many ethical concepts - data privacy, validity and more importantly, its potential misuse. AI is often being used to replace human decision-making and there is often no real understanding of the implications of this. This book provides a detailed primer for practitioners without a deep technological background. It guides the reader through the basic issues and offers advice on 'how to take decisions'. There is a dearth of such books currently available and this book aspires to fill a growing niche.Trade ReviewThis book is sure to offer value to business users, students and the general public."" — K. Ananth Krishnan, Tata Consultancy Services""I highly recommend this book for the leader seeking an up-to-date review of AI to make strategic investments."" — Kes Sampanthar, Innovation, BCG Brighthouse""The AI Enabled Organization is the perfect tool to embark on a thorough assessment of what AI means for your business."" — Arno Fehler, Schmidt Kranz Group, Germany
£58.50
Post Hill Press Random Acts of Automation
Book SynopsisFeeling uneasy about AI? Worried it'll make your job obsolete and your once-solid training outdated? You're not alone.
£13.49
Notion Press ChatGPT
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£10.24
Nova Science Publishers, Inc. Computational Arts and Creative Products Languages Spaces and Practices
£67.99
Requisite Morsel Echo and Narcissus - A Greek Myth Graphic Novella
Book Synopsis
£11.99
