Bitcoin and Blockchain
The Blockchain is growing fast, from the original bitcoin protocol to the second generation Ethereum platform and today in the process of building third generations Blockchains. We can see how technology evolved from the original form as a distributed database by becoming a fully fledged globally distributed cloud computer.
Content-Based Image Classification
This book is a comprehensive guide to initiate and excel in researching with invaluable image data. This book has demonstrated several techniques of image processing to represent image data in desired format for information identification.
AI for Behavioural Science
This book is a concise introduction to emerging concepts and ideas found at the intersection of contemporary behavioural science and artificial intelligence. It explores how these disciplines interact, change and adapt to one another, and what the implications of such an interaction are for practice and society.
Recommender Systems
Recommender systems use information filtering to predict user preferences. They are becoming a vital part of e-business and are used in a wide variety of industries, ranging from entertainment and social networking to information technology, tourism, education, agriculture, healthcare, manufacturing, and retail. Recommender Systems: Algorithms and Applications dives into the theoretical underpinnings of these systems and looks at how this theory is applied and implemented in actual systems. The book examines several classes of recommendation algorithms, including Machine learning algorithms Community detection algorithms Filtering algorithms Various efficient and robust product recommender systems using machine learning algorithms are helpful in filtering and exploring unseen data by users for better prediction and extrapolation of decisions. These are providing a wider range of solutions to such challenges as imbalanced data set problems, cold-start problems, and long tail problems. This book also looks at fundamental ontological positions that form the foundations of recommender systems and explain why certain recommendations are predicted over others. Techniques and approaches for developing recommender systems are also investigated. These can help with implementing algorithms as systems and include A latent-factor technique for model-based filtering systems Collaborative filtering approaches Content-based approaches Finally, this book examines actual systems for social networking, recommending consumer products, and predicting risk in software engineering projects.
Virtual and Augmented Reality for Architecture and Design
This book is meant for practitioners and academics alike, as it examines specific aspects related to the use of new technologies in the field of Architecture and Design, highlighting its application in areas such as education, heritage, research, and methodologies.
Computational Intelligence for Information Retrieval
This book provides a thorough understanding of the integration of computational intelligence with information retrieval including content-based image retrieval using intelligent techniques, hybrid computational intelligence for pattern recognition, intelligent innovative systems, and protecting and analysing big data on cloud platforms.
Cloud IoT
IoT is based on intelligent self-configuring nodes interconnected in a dynamic and global collaborative network infrastructure. In contrast, Cloud computing has virtually unlimited capabilities in terms of storage and processing power, speed. Due to intrinsic nature of Cloud computing and IoT, they both complement each other.
The Evolving Landscape of Ethical Digital Technology
Information and communication technology (ICT) has the potential to empower, to connect and to include but, alas, this is not always the case as, at times, it restricts, excludes, and divides. This book explores this paradox and examines ethical and social impacts of ICT. It highlights lessons learnt and those still to be learnt.
Soft Computing
This book explores Soft Computing techniques in a systematic manner starting from their initial stage to recent developments in this area. The book presents a survey of the existing knowledge and also the current state-of-the-art development through cutting-edge original new contributions from the researchers.
Advanced Computational Techniques for Sustainable Computing
Sustainable computing is considered multi-disciplinary field encompassing advanced computational techniques across several domains and the core idea is to deploy algorithms, models, policies and protocols to improve energy efficiency and management of resources, recycling, ecological balance, biological sustenance on societal contexts
Sustainable and Advanced Applications of Blockchain in Smart Computational Technologies
This book concentrates on the sustainable applications of the Blockchain Technology across multiple latest computational knowledge domains. It will target the vast applications of Blockchain in the field of Internet of Things, Artificial Intelligence, and Cybersecurity.
Handbook of Green Engineering Technologies for Sustainable Smart Cities
This handbook focuses on the complete exploration and presentation of Green Smart City applications, techniques, and architectural frameworks. It provides detailed coverage of urban sustainability spanning across various engineering disciplines.
Fog Computing
Fog Computing: Concepts, Frameworks, and Applications is arranged in such a way that readers with no prior experience in Fog Computing may explore this domain. It is an accessible source of information for distributed computing researchers as well as professionals looking to improve their security and connectivity understanding in Internet of Things (IoT) devices. This book is also useful for researchers and professionals working in the field of wireless communication security and privacy research. This book is intended for students, professionals, researchers, and developers who are working in or interested in the field of Fog Computing. One of the book's distinguishing aspects is that it covers a variety of case studies and future possibilities in the field of Fog Computing.This book: Begins by covering the fundamental notions of Fog Computing to help readers grasp the technology, starting from the basics Explains Fog Computing architecture as well as the convergence of Fog, IoT, and Cloud Computing Provides an assessment of Fog Computing and its applications in the field of IoT Discusses the usage of software defined networking and machine learning algorithms as they apply to Fog Computing Describes the different security and privacy issues with Fog Computing and explores single point control systems for consumer devices using Edge-Fog Computing Outlines in detail how to leverage Blockchain technology in Fog Computing, as well as how to use Fog Computing in telemedicine and healthcare applications Examines the usage of communication protocols, simulation tools for Fog Computing implementation, and case studies in the fields of bioinformatics, disaster control, and IoT
Artificial Intelligence in Information and Communication Technologies, Healthcare and Education
This book is designed as a reference text and discusses inter-dependability, communication and effective control for the betterment of services through artificial intelligence, as well as the challenges and path ahead for AI in computing and control across different domains of business and human life.
Continuous Delivery 2.0
This book introduces the theory and practice of the 'double-flywheels model' of Continuous Delivery 2.0: Discovery Loop, which allows IT organisations to help businesses figure out the most efficacious ways to develop.
Explainable Artificial Intelligence for Smart Cities
Thanks to rapid technological developments in terms of Computational Intelligence, smart tools have been playing active roles in daily life. It is clear that the 21st century has brought about many advantages in using high-level computation and communication solutions to deal with real-world problems; however, more technologies bring more changes to society. In this sense, the concept of smart cities has been a widely discussed topic in terms of society and Artificial Intelligence-oriented research efforts. The rise of smart cities is a transformation of both community and technology use habits, and there are many different research orientations to shape a better future.The objective of this book is to focus on Explainable Artificial Intelligence (XAI) in smart city development. As recently designed, advanced smart systems require intense use of complex computational solutions (i.e., Deep Learning, Big Data, IoT architectures), the mechanisms of these systems become 'black-box' to users. As this means that there is no clear clue about what is going on within these systems, anxieties regarding ensuring trustworthy tools also rise. In recent years, attempts have been made to solve this issue with the additional use of XAI methods to improve transparency levels. This book provides a timely, global reference source about cutting-edge research efforts to ensure the XAI factor in smart city-oriented developments. The book includes both positive and negative outcomes, as well as future insights and the societal and technical aspects of XAI-based smart city research efforts. This book contains nineteen contributions beginning with a presentation of the background of XAI techniques and sustainable smart-city applications. It then continues with chapters discussing XAI for Smart Healthcare, Smart Education, Smart Transportation, Smart Environment, Smart Urbanization and Governance, and Cyber Security for Smart Cities.
Artificial Intelligence and Smart Agriculture Technology
This book explores the application use of machine learning and artificial intelligence in smart agriculture by Identifying and describing functional and non-functional technologies. It identifies and discusses smart agriculture capabilities and conceptual prototypes, as well as demonstrates critical technological solutions.
Bio-Inspired Optimization in Fog and Edge Computing Environments
The book examines the enhancement of the performance of fog networks for real-world applications using nature-based optimization techniques. It looks at the challenges in cloud datacenter nodes and fog computing networks and provides solutions. It covers such issues as security, privacy, and power consumption.
Cloud Network Management
This book provides a deep understanding of cloud computing, IoT, IoT based cloud architecture and IoT inter-networking with the cloud. It acts as a bridge between Internet-of-Things and Cloud Networking with a high degree of node mobility.
Cognitive Computing for Internet of Medical Things
This book offers a complete assessment of the present scenario, role, challenges, technologies, and impact of IoMT-enabled smart healthcare systems. It contains chapters discussing various biomedical applications under the umbrella of the IoMT.
Comptia Network+ N10-009 Exam Cram
CompTIA Network+ N10-009 Exam Cram is an all-inclusive study guide designed to help you pass the updated version of the CompTIA Network+ exam. Prepare for test day success with complete coverage of exam objectives and topics, plus hundreds of realistic practice questions. Extensive prep tools include quizzes, Exam Alerts, and our essential last-minute review Cram Sheet. The powerful Pearson Test Prep practice software provides real-time assessment and feedback with two complete exams. Covers the critical information needed to score higher on your Network+ N10-009 exam! Establish network connectivity by deploying wired and wireless devices Learn the purpose of documentation and maintain network documentation Configure common network services Learn basic datacenter, cloud, and virtual networking concepts Monitor network activity and troubleshoot performance and availability issues Implement network security hardening techniques Manage, configure, and troubleshoot network infrastructure Prepare for your exam with Pearson Test Prep Realistic practice questions and answers Comprehensive reporting and feedback Customized testing in study, practice exam, or flash card modes Complete coverage of CompTIA Network+ N10-009 exam objectives
Next-Level Gaming
Explore the Future of GamingStep into a world where artificial intelligence revolutionizes the gaming industry, creating more immersive and personalized experiences for every player.Next-Level Gaming: AI Innovations unveils the groundbreaking journey of AI in video games, right from its humble beginnings to its sophisticated modern applications. Discover how this transformative technology is reshaping the landscape of entertainment and captivating gamers worldwide. This comprehensive guide is a treasure trove for developers, enthusiasts, and anyone fascinated by the intersection of AI and gaming.Dive into the rich history of AI's role in gaming, from early milestones to the masterminds driving innovation. Equip yourself with fundamental concepts, essential programming languages, and the algorithms that form the backbone of today's advanced gaming experiences. Marvel at how AI generates adaptive difficulty levels, creating personalized journeys that keep players on the edge of their seats.Imagine AI-driven NPCs that adapt and evolve based on your actions, or procedurally generated worlds that offer infinite exploration possibilities. Learn from compelling case studies of AI's triumph in popular games and understand how machine learning and neural networks are integral to modern game development.Peek into the future of real-time strategy and simulation games, where AI balances competitive play and enables unparalleled immersion in virtual realities. Uncover the ethical dilemmas inherent in AI gaming, such as privacy concerns, bias, and the pursuit of fairness.Finally, grasp how AI influences the business of gaming-monetization, marketing, and distribution-equipping you with insights to stay ahead in this dynamic field. With hands-on tutorials and recommended tools, you'll be ready to start your journey into AI game development.Next-Level Gaming: AI Innovations promises an enlightening adventure, merging cutting-edge technology with the artistry of game design. Don't miss your chance to explore the next frontier of gaming.
Topological Dynamics in Metamodel Discovery with Artificial Intelligence
Dealing with artificial intelligence, this book delineates AI's role in model discovery for dynamical systems. With the implementation of topological methods to construct metamodels, it engages with levels of complexity and multi-scale hierarchies hitherto considered off limits for data science.
Computational Collective Intelligence
This two-volume set LNAI 14810-14811 constitutes the refereed proceedings of the 16th International Conference on Computational Collective Intelligence, ICCCI 2024, held in Leipzig, Germany, during September 9-11, 2024. The 59 revised full papers presented in these proceedings were carefully reviewed and selected from 234 submissions. Part I: collective intelligence and collective decision-making; deep learning techniques; natural language processing; data mining and machine learning Part II: social networks and intelligent system; cybersecurity, blockchain technology, and internet of things; cooperative strategies for decision making and optimization; computational intelligence for digital content understanding; knowledge engineering and application for industry 4.0
Cissp Cert Guide
In this comprehensive study guide, two leading experts help you master all the topics you need to know to succeed on the latest CISSP exam and advance your career in IT security. Their concise, focused approach explains every exam objective from a real-world perspective, helping you quickly identify weaknesses and retain everything you need to know. Every feature of this book supports both efficient exam preparation and long-term mastery: Opening Topics Lists identify the topics you need to learn in each chapter and list (ISC)簡's official exam objectives Key Topic figures, tables, and lists call attention to the information that's most crucial for exam success Exam Preparation Tasks enable you to review key topics, complete memory tables, define key terms, work through scenarios, and answer review questions...going beyond mere facts to master the concepts that are crucial to passing the exam and enhancing your career Key Terms are listed in each chapter and defined in a complete glossary, explaining all the field's essential terminology This study guide helps you master all the topics on the latest CISSP exam, deepening your knowledge of: Security and Risk Management Asset Security Security Architecture and Engineering Communication and Network Security Identity and Access Management (IAM) Security Assessment and Testing Security Operations Software Development Security
Intelligent Cyber-Physical Systems Security for Industry 4.0
This book presents new cyber-physical security findings for Industry 4.0 using emerging technologies like Artificial Intelligence, Data Mining and Applied Mathematics which are the essential components for processing data, recognizing patterns, modelling new techniques and improving the advantages of the Data Science more.
Understanding Semantics-Based Decision Support
This book is an attempt to establish in the readers the importance of creating interoperable data stores and writing rules for handling this data. It also covers extracts from a few project dissertations and a research funded project that the author had supervised.
Hands-On Salesforce Einstein Studio and GPT Intelligence
Prepare for the future of CRM with the first exclusive guide to optimizing Salesforce automations with Einstein CopilotsKey Features: - Gain essential insights to seamlessly transition from traditional model to AI-driven models and optimize CRM workflows- Configure and integrate AI tools with various Salesforce components to achieve enhanced functionality- Learn from seasoned Salesforce experts to drive business growth and improve customer experiences- Purchase of the print or Kindle book includes a free PDF eBookBook Description: Salesforce continues to expand the capabilities of Einstein Copilot, ensuring its ability to meet evolving critical business needs. This definitive guide to implementing Salesforce Einstein Copilot is written by a team of highly experienced Salesforce professionals with decades of experience in AI, data engineering, and Salesforce solutions. The book showcases practical use cases and offers strategic insights into AI integration within CRM systems, providing you with a comprehensive understanding of how to leverage this powerful tool.You'll develop a thorough understanding of various use cases and practical applications of Einstein Copilot across different Salesforce clouds, including Sales, Service, Marketing, and Commerce. Equipped with strategic insights from seasoned Salesforce experts, you'll be prepared to navigate the future of AI-driven CRM, enhancing your ability to drive productivity and innovation within your organization. Ultimately, you'll become well versed in the transformative potential of AI, ready to harness its power to achieve superior business outcomes.By the end of this book, you'll be able to effectively implement Salesforce Einstein Copilot within your CRM systems, leveraging AI to optimize information and streamline business processes.What You Will Learn: - Use Prompt Builder, Model Builder, and Copilot Actions to drive enhanced productivity for sales and service teams- Create and manage effective user prompts to streamline interactions- Implement and customize Copilot Actions to automate complex workflows and improve efficiency- Develop, train, and deploy custom AI models with Model Builder to address specific business needs- Centralize and harmonize customer data using Data Cloud to gain unified insights- Tailor Copilot's features to meet unique business requirements, ensuring maximum relevance and effectiveness Who this book is for: This book is for Salesforce professionals, including administrators, developers, and consultants, who want to leverage their Salesforce skills using AI to optimize business processes, enhance customer experiences, and drive growth.Table of Contents- Introduction to Salesforce Einstein Copilot- Setting Up Einstein Studio- Utilizing Prompt Builder- Working with Copilot Builder- How Data Cloud Works with Einstein Studio- Exploring Functionalities of Model Builder- Leveraging Copilot Actions with Flows and More- Synergy between Einstein Copilot and Sales Cloud- Integrating Einstein Copilot and Service Cloud- Integrating Einstein Copilot and Marketing Cloud- Working with Einstein Copilot and Commerce Cloud- What's Next With Einstein Copilot
From Animals to Animats 17
This book constitutes the refereed proceedings of the 17th International Conference on Simulation of Adaptive Behavior, SAB 2024, held in Irvine, CA, USA, during September 9-12, 2024. The 26 full papers included in this book were carefully reviewed and selected from 30 submissions. They were organized in topical sections as follows: Bio-Inspired Navigation; Biomimetic Robots; Collective Behavior; Evolutionary Approaches to Adaptive Behavior; Motor Learning and Problem Solving and Decision-Making.
Cloud Computing Technologies for Smart Agriculture and Healthcare
The book aims to cover the cloud management and framework. It discusses how cloud computing framework can be integrated with fog computing, edge computing, deep learning and IOT. This book is primarily aimed at graduates and researchers to understand the echo system of cloud technology for agriculture and healthcare.
AI and Society
AI's impact on human societies is and will be drastic in so many ways. AI is being adopted and implemented around the world, and government and universities are investing in AI studies, research, and development. However, very little research exists about the impact of AI on our lives. This book will address this gap; it will gather reflections from around the world to assess the impact of AI on different aspects of society as well as propose ways in which we can address this impact and the research agendas needed.
Leveraging Computer Vision to Biometric Applications
Computer vision is an effective solution in a range of real-life applications. With the advent of the machine and deep learning paradigms, this book adopts machine and deep learning algorithms to leverage digital image processing for designing accurate biometrical applications. A must-read for anyone working on computer vision
Cyber Security Applications for Industry 4.0
This book provides integrated features of various disciplines in Computer Science, Mechanical, Electrical, and Electronics Engineering. It is primarily aimed at industry professionals, academicians and researchers for better understanding of the secure data transition between the Industry 4.0 enabled connected systems.
Recent Advances in Ai-Enabled Automated Medical Diagnosis
This book presents a summary of recent advances in this rapidly growing area, and introduces interesting topics to a wide audience within various cross-disciplinary areas.
Document Analysis and Recognition - Icdar 2024
This six-volume set LNCS 14804-14809 constitutes the proceedings of the 18th International Conference on Document Analysis and Recognition, ICDAR 2024, held in Athens, Greece, during August 30-September 4, 2024. The total of 144 full papers presented in these proceedings were carefully selected from 263 submissions. The papers reflect topics such as: document image processing; physical and logical layout analysis; text and symbol recognition; handwriting recognition; document analysis systems; document classification; indexing and retrieval of documents; document synthesis; extracting document semantics; NLP for document understanding; office automation; graphics recognition; human document interaction; document representation modeling and much more.
Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches
This book focuses on the implementation of various elementary and advanced approaches in AI that can be used in various domains to solve real-time decision-making problems.
Edutech Enabled Teaching
The book addresses the issues faced by teachers in the adoption of digital tools into their teaching. It presents theoretical perspectives of teaching students with technology and proposes a pragmatic and sustainable framework for teachers' professional learning to embed digital technologies into their repertoire of teaching strategies.
Taming Silicon Valley
How Big Tech is taking advantage of us, how AI is making it worse, and how we can create a thriving, AI-positive world. On balance, will AI help humanity or harm it? AI could revolutionize science, medicine, and technology, and deliver us a world of abundance and better health. Or it could be a disaster, leading to the downfall of democracy, or even our extinction. In Taming Silicon Valley, Gary Marcus, one of the most trusted voices in AI, explains that we still have a choice. And that the decisions we make now about AI will shape our next century. In this short but powerful manifesto, Marcus explains how Big Tech is taking advantage of us, how AI could make things much worse, and, most importantly, what we can do to safeguard our democracy, our society, and our future. Marcus explains the potential--and potential risks--of AI in the clearest possible terms and how Big Tech has effectively captured policymakers. He begins by laying out what is lacking in current AI, what the greatest risks of AI are, and how Big Tech has been playing both the public and the government, before digging into why the US government has thus far been ineffective at reining in Big Tech. He then offers real tools for readers, including eight suggestions for what a coherent AI policy should look like--from data rights to layered AI oversight to meaningful tax reform--and closes with how ordinary citizens can push for what is so desperately needed. Taming Silicon Valley is both a primer on how AI has gotten to its problematic present state and a book of activism in the tradition of Abbie Hoffman's Steal This Book and Thomas Paine's Common Sense. It is a deeply important book for our perilous historical moment that every concerned citizen must read.
Security of Internet of Things Nodes
The book Security of Internet of Things Nodes: Challenges, Attacks, and Countermeasures(R) covers a wide range of research topics on the security of the Internet of Things nodes along with the latest research development in the domain of Internet of Things.
Blockchain Technology
This book presents a detailed exploration of adaption and implementation of blockchain technologies in real-world business applications. Blockchain is gaining momentum in all sectors. This book includes all aspects of blockchain with a complete 360-degree view spectrum.
Artificial Intelligence and Global Society
This book is an attempt to throw spotlight on the areas where AI is proving to be a boon. This book will prove to be a guide for university students especially from the technical background, industries, NGOs and Policy makers.
Distributed Artificial Intelligence
This book provides a deeper understanding of the relevant aspects of AI and DAI impacting each other's efficacy for better output. It will bridge the gap between research solutions and key technologies related to data analytics to ensure Industry 4.0 requirements and at the same time ensure proper network communication and security of big data.
Some Future Day
This cutting-edge guide not only shows how AI is transforming our careers, lives, businesses, and more, but also provides easy, actionable steps to make AI work for us. In this groundbreaking book, celebrated professor, entrepreneur, author, and podcaster Marc Beckman explores the transformative power of artificial intelligence (AI) and how it's poised to enhance and transform all aspects of society--revolutionizing our careers, enriching our family lives, and bringing our communities closer together. From business and advertising, to medicine, to warfare, to politics--Beckman meticulously explores the different areas where we'll soon feel AI's transformative impact. But that's only half of it. Throughout this book, he also provides the specific steps readers can take now to make sure these coming changes work for them. From the workplace to the home, AI is poised to reshape the way we approach our professional and personal lives. Beckman uses this book to make the case that AI will free up valuable time and energy, allowing individuals to focus on more creative and meaningful work, but also that AI will create possibilities for engagement that were unthinkable just a generation ago. He shows that with AI as our co-pilot, we'll unlock new opportunities for growth, innovation, and collaboration--all of which will lead to more fulfilling and rewarding careers. Beckman illustrates how AI will strengthen family bonds and improve the quality of our home lives too, changing everything from how we educate our kids to how we stay connected on social media. And as AI becomes more integrated into our cities and towns, it will play a crucial role in fostering a sense of community and belonging; through AI-powered platforms, Beckman shows how we will collaborate on projects, share resources, and support one another in times of need. This thought-provoking and essential book is a definitive guide to the many ways in which AI will transform our lives for the better . . . but also surprise us, delight us, force us to (re)consider how we interact with one another, and make us question what exactly counts as "human." Join Marc Beckman on this exciting journey as he explores the near-endless possibilities of a world powered and transformed by artificial intelligence. It's an Age of Imagination . . . where the only limit is your own mind.
AI-Assisted Programming for Web and Machine Learning
Speed up your development processes and improve your productivity by writing practical and relevant prompts to build web applications and Machine Learning (ML) modelsPurchase of the print or Kindle book includes a free PDF copyKey Features: - Utilize prompts to enhance frontend and backend web development- Develop prompt strategies to build robust machine learning models- Use GitHub Copilot for data exploration, maintaining existing code bases, and augmenting ML models into web applicationsBook Description: AI-Assisted Programming for Web and Machine Learning shows you how to build applications and machine learning models and automate repetitive tasks.Part 1 focuses on coding, from building a user interface to the backend. You'll use prompts to create the appearance of an app using HTML, styling with CSS, adding behavior with JavaScript, and working with multiple viewports. Next, you'll build a web API with Python and Flask and refactor the code to improve code readability. Part 1 ends with using GitHub Copilot to improve the maintainability and performance of existing code.Part 2 provides a prompting toolkit for data science from data checking (inspecting data and creating distribution graphs and correlation matrices) to building and optimizing a neural network. You'll use different prompt strategies for data preprocessing, feature engineering, model selection, training, hyperparameter optimization, and model evaluation for various machine learning models and use cases.The book closes with chapters on advanced techniques on GitHub Copilot and software agents. There are tips on code generation, debugging, and troubleshooting code. You'll see how simpler and AI-powered agents work and discover tool calling.What You Will Learn: - Speed up your coding and machine learning workflows with GitHub Copilot and ChatGPT- Use an AI-assisted approach across the development lifecycle - Implement prompt engineering techniques in the data science lifecycle- Develop the frontend and backend of a web application with AI assistance - Build machine learning models with GitHub Copilot and ChatGPT - Refactor code and fix faults for better efficiency and readability - Improve your codebase with rich documentation and enhanced workflows Who this book is for: Experienced developers new to GitHub Copilot and ChatGPT can discover the best strategies to improve productivity and deliver projects quicker than traditional methods. This book is ideal for software engineers working on web or machine learning projects. It is also a useful resource for web developers, data scientists, and analysts who want to improve their efficiency with the help of prompting. This book does not teach web development or how different machine learning models work.Table of Contents- It's a New World, One With AI Assistants, and You're Invited- Prompt Strategy- Tools of the Trade: Introducing Our AI Assistants- Build the Appearance of Our App with HTML and Copilot- Style the App with CSS and Copilot- Add Behavior with JavaScript- Support Multiple Viewports Using Responsive Web Layouts- Build a Backend with Web APIs- Augment Web Apps with AI Services- Maintaining Existing Codebases- Data Exploration with ChatGPT- Building a Classification Model with ChatGPT- Building a Regression Model for Customer Spend with ChatGPT- Building an MLP Model for Fashion-MNIST with ChatGPT- Building a CNN Model for CIFAR-10 with ChatGPT- Unsupervised Learning: Clustering and PCA- Machine Learning with Copilot(N.B. Please use the Read Sample option to see further chapters)
Modern Python Programming using ChatGPT
DESCRIPTION Modern Python Programming using ChatGPT is your essential guide to leveraging Artificial Intelligence to streamline and enhance your Python development workflow across the entire software development lifecycle (SDLC).This book covers every stage, from requirements gathering and design to implementation, testing, security, deployment, and observability, demonstrating how ChatGPT can be of invaluable assistance throughout. Learn how to use ChatGPT to break down features into stories, design, and architect software, implement AI-generated code snippets, write clean and maintainable code, test and secure applications, deploy efficiently, and monitor performance. This comprehensive guide shows you how to integrate ChatGPT seamlessly into every stage of your Python projects. Discover how ChatGPT can automate repetitive tasks, generate high-quality code snippets, provide instant debugging tips, and ensure your code adheres to industry standards and best practices. This book provides thorough coverage of the latest trends and best practices in Python development, equipping you with the tools to write clean, maintainable, and robust code.Through practical examples and hands-on exercises, you will learn how to apply ChatGPT in real-world scenarios, making your development process more efficient and productive. KEY FEATURES ● Supercharge the entire SDLC using ChatGPT's AI-driven insights.● Seamlessly integrate ChatGPT into every stage of your Python projects.● Practical, real-world examples and hands-on exercises.WHAT YOU WILL LEARN● To seamlessly integrate ChatGPT from coding to deployment to monitoring.● Use ChatGPT to gather and document software requirements.● Break down features into stories with ChatGPT assistance.● Design, architect, and implement clean, maintainable code using AI-generated snippets.● Test, secure, and deploy applications with AI support.● Optimize performance and monitor software using ChatGPT.WHO THIS BOOK IS FORThis book is for Python developers of all experience levels who want to enhance their entire software development process using AI. Basic knowledge of Python is assumed, but detailed instructions are provided to help you integrate ChatGPT into your projects effectively.
