Mastering AI
Mastering AI

Author: Jeremy Kahn

Publisher: Simon and Schuster

Published: 2024-07-09

Total Pages: 336

ISBN-13: 1668053349

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A Fortune magazine journalist draws on his expertise and extensive contacts among the companies and scientists at the forefront of artificial intelligence to offer dramatic predictions of AI’s impact over the next decade, from reshaping our economy and the way we work, learn, and create to unknitting our social fabric, jeopardizing our democracy, and fundamentally altering the way we think. Within the next five years, Jeremy Kahn predicts, AI will disrupt almost every industry and enterprise, with vastly increased efficiency and productivity. It will restructure the workforce, making AI copilots a must for every knowledge worker. It will revamp education, meaning children around the world can have personal, portable tutors. It will revolutionize health care, making individualized, targeted pharmaceuticals more affordable. It will compel us to reimagine how we make art, compose music, and write and publish books. The potential of generative AI to extend our skills, talents, and creativity as humans is undeniably exciting and promising. But while this new technology has a bright future, it also casts a dark and fearful shadow. AI will provoke pervasive, disruptive, potentially devastating knock-on effects. Leveraging his unrivaled access to the leaders, scientists, futurists, and others who are making AI a reality, Kahn will argue that if not carefully designed and vigilantly regulated AI will deepen income inequality, depressing wages while imposing winner-take-all markets across much of the economy. AI risks undermining democracy, as truth is overtaken by misinformation, racial bias, and harmful stereotypes. Continuing a process begun by the internet, AI will rewire our brains, likely inhibiting our ability to think critically, to remember, and even to get along with one another—unless we all take decisive action to prevent this from happening. Much as Michael Lewis’s classic The New New Thing offered a prescient, insightful, and eminently readable account of life inside the dot-com bubble, Mastering AI delivers much-needed guidance for anyone eager to understand the AI boom—and what comes next.

Mastering AI model training
Mastering AI model training

Author: Cybellium Ltd

Publisher: Cybellium Ltd

Published: 2023-09-05

Total Pages: 272

ISBN-13:

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Are you ready to take your AI training skills to the next level? In "Mastering AI Model Training" by Kris Hermans, you'll embark on a transformative journey that will empower you to train highly accurate and efficient artificial intelligence models. Uncover Advanced Techniques and Best Practices As AI continues to revolutionize industries, the ability to train powerful and optimized models is paramount. In this comprehensive guide, Kris Hermans reveals the secrets to mastering AI model training. Explore advanced techniques, cutting-edge algorithms, and industry best practices that will propel your AI training expertise to new heights. Become an Expert in Training AI Models Whether you're a seasoned data scientist or a passionate AI enthusiast, this book provides a structured approach to mastering AI model training. Kris Hermans demystifies complex concepts and presents them in a clear and practical manner. Through real-world examples and hands-on exercises, you'll develop the skills and intuition necessary to train AI models that achieve exceptional performance. From Fundamentals to Advanced Topics "Mastering AI Model Training" covers the full spectrum of AI training, starting from the basics of data preprocessing and feature engineering and progressing to advanced topics such as transfer learning, hyperparameter optimization, and model compression. Gain a deep understanding of different training algorithms and architectures, and learn how to adapt them to various domains and use cases. Optimize Training for Performance and Efficiency Discover strategies for improving model performance, reducing training time, and optimizing resource utilization. Explore techniques for handling large datasets, distributed training, and leveraging hardware accelerators such as GPUs and TPUs. With Kris Hermans as your guide, you'll learn how to train models that deliver superior results while maximizing computational efficiency. Practical Applications and Real-World Case Studies Immerse yourself in practical applications of AI model training across industries such as healthcare, finance, manufacturing, and more. Dive into captivating case studies that demonstrate how AI training is transforming businesses and driving innovation. Gain insights into the challenges faced by organizations and learn how they leverage AI training techniques to gain a competitive edge. Ethical Considerations and Responsible AI With great power comes great responsibility. "Mastering AI Model Training" addresses the ethical considerations associated with AI training and highlights the importance of responsible AI practices. Learn how to mitigate biases, ensure fairness, and navigate ethical challenges to build AI models that are not only accurate and efficient but also ethical and trustworthy.

Mastering AI ethics
Mastering AI ethics

Author: Cybellium Ltd

Publisher: Cybellium Ltd

Published: 2023-09-05

Total Pages: 149

ISBN-13:

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In an era shaped by the rapid evolution of artificial intelligence, grappling with the ethical dimensions of AI technologies has become an imperative. "Mastering AI Ethics" is a groundbreaking guide that delves deep into the complexities of AI ethics, equipping readers with the insights required to navigate the ethical challenges posed by AI innovations. About the Book: In this thought-provoking book, readers are invited to explore the intricate web of ethical considerations surrounding AI development, deployment, and societal impact. With real-world examples, case studies, and actionable frameworks, "Mastering AI Ethics" empowers readers to make informed decisions and contribute to a future where AI serves the greater good. Key Features: Foundations of Ethical AI: The book lays a strong foundation by demystifying the core concepts that underpin AI ethics. Readers will develop a clear understanding of how ethical considerations intersect with AI technologies and why these intersections are crucial. Tackling Complex Ethical Dilemmas: Through a series of real-world scenarios, readers will grapple with intricate ethical dilemmas presented by AI. The book guides readers in analyzing and evaluating these scenarios, enabling them to cultivate the critical thinking skills needed to confront ethical challenges head-on. Frameworks for Ethical Decision-Making: "Mastering AI Ethics" introduces readers to practical frameworks and models designed to facilitate ethical decision-making in AI contexts. These frameworks empower readers to weigh conflicting interests, anticipate potential harms, and arrive at ethically sound solutions. Promoting Transparency and Accountability: The book delves into the concepts of transparency and accountability in AI development and deployment. Readers will discover how to foster transparency, hold AI systems accountable, and ensure responsible use of AI technologies. Societal Implications of AI: By examining broader societal implications, the book explores how AI influences areas such as privacy, bias, fairness, and social justice. Readers will gain insights into how AI technologies can amplify existing inequalities and how to design AI systems that mitigate these effects. Collaborative Ethical Practices: "Mastering AI Ethics" underscores the significance of collaborative efforts in shaping AI ethics. Readers will learn how interdisciplinary collaboration involving ethicists, technologists, policymakers, and stakeholders can drive more ethical AI development and deployment. Exploring Future Ethical Challenges: As AI continues to evolve, so do its ethical considerations. The book provides a forward-looking perspective on emerging trends in AI ethics, from the ethical implications of AI in healthcare to the challenges posed by autonomous systems and AI-driven decision-making. Who Should Read This Book: "Mastering AI Ethics" is an indispensable resource for AI practitioners, data scientists, ethicists, policymakers, and anyone concerned with the ethical implications of AI technologies. Whether you're an AI researcher aiming to integrate ethics into your work, a business leader exploring responsible AI implementation, or a curious citizen intrigued by AI's impact on society, this book equips you with the tools to engage in meaningful discussions and drive ethical change in the AI landscape.

Mastering Artificial Intelligence for TV Production
Mastering Artificial Intelligence for TV Production

Author: Andy Sutton

Publisher: Andy Sutton

Published: 2024-09-15

Total Pages: 73

ISBN-13:

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Revolutionize Your Editing, Writing, and Shooting Workflow! Unlock the transformative power of artificial intelligence in TV production and filmmaking with Mastering Artificial Intelligence for TV Production. Written by award-winning TV editor Andy Sutton, this comprehensive guide explores how AI tools, like ChatGPT, can revolutionize the way producers, directors, and editors create content. Whether you're a seasoned professional or a newcomer to the industry, this book provides actionable insights into harnessing AI to streamline post-production, enhance storytelling, and manage complex workflows. Andy Sutton brings over 25 years of experience in the television industry to the table, offering a detailed look at how AI can be integrated into everyday production tasks. Learn how to use AI for generating interview questions, organizing footage, editing scripts, and producing compelling commentary. This guide also delves into advanced topics such as voice cloning, metadata management, fact-checking, and how to leverage AI tools for script optimisation. Packed with step-by-step instructions, real-world examples, and practical prompts, Mastering Artificial Intelligence for TV Production is the ultimate resource for filmmakers and content creators looking to gain a competitive edge. If you want to elevate your editing workflow, improve efficiency, and stay ahead of the curve in TV production, this book is your essential roadmap.

Mastering Machine Learning Algorithms
Mastering Machine Learning Algorithms

Author: Giuseppe Bonaccorso

Publisher: Packt Publishing Ltd

Published: 2018-05-25

Total Pages: 567

ISBN-13: 1788625900

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Explore and master the most important algorithms for solving complex machine learning problems. Key Features Discover high-performing machine learning algorithms and understand how they work in depth. One-stop solution to mastering supervised, unsupervised, and semi-supervised machine learning algorithms and their implementation. Master concepts related to algorithm tuning, parameter optimization, and more Book Description Machine learning is a subset of AI that aims to make modern-day computer systems smarter and more intelligent. The real power of machine learning resides in its algorithms, which make even the most difficult things capable of being handled by machines. However, with the advancement in the technology and requirements of data, machines will have to be smarter than they are today to meet the overwhelming data needs; mastering these algorithms and using them optimally is the need of the hour. Mastering Machine Learning Algorithms is your complete guide to quickly getting to grips with popular machine learning algorithms. You will be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and will learn how to use them in the best possible manner. Ranging from Bayesian models to the MCMC algorithm to Hidden Markov models, this book will teach you how to extract features from your dataset and perform dimensionality reduction by making use of Python-based libraries such as scikit-learn. You will also learn how to use Keras and TensorFlow to train effective neural networks. If you are looking for a single resource to study, implement, and solve end-to-end machine learning problems and use-cases, this is the book you need. What you will learn Explore how a ML model can be trained, optimized, and evaluated Understand how to create and learn static and dynamic probabilistic models Successfully cluster high-dimensional data and evaluate model accuracy Discover how artificial neural networks work and how to train, optimize, and validate them Work with Autoencoders and Generative Adversarial Networks Apply label spreading and propagation to large datasets Explore the most important Reinforcement Learning techniques Who this book is for This book is an ideal and relevant source of content for data science professionals who want to delve into complex machine learning algorithms, calibrate models, and improve the predictions of the trained model. A basic knowledge of machine learning is preferred to get the best out of this guide.

Mastering AI for Beginners: A Step-by-Step Guide to Understanding Artificial Intelligence
Mastering AI for Beginners: A Step-by-Step Guide to Understanding Artificial Intelligence

Author: LucieArt

Publisher: Lucie Art

Published: 2024-08-25

Total Pages: 74

ISBN-13:

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Unlock the secrets of Artificial Intelligence with “Mastering AI for Beginners: A Step-by-Step Guide to Understanding Artificial Intelligence.” This comprehensive guide provides a clear, engaging introduction to the essentials of AI and how it is transforming the world around us. Whether you’re a complete novice or have a basic understanding of AI, this book is your perfect starting point. Explore core concepts such as machine learning, neural networks, and natural language processing. Discover how AI is revolutionizing various industries, from healthcare and finance to entertainment. “Mastering AI for Beginners” combines practical examples, easy-to-understand explanations, and current case studies to deliver valuable insights. Learn how to harness the power of AI, understand its potential, and navigate its challenges with confidence. Dive into the future of technology and become an informed participant in the AI revolution! Keywords 1. Artificial Intelligence Basics 2. Introduction to Machine Learning 3. Beginner’s Guide to Neural Networks 4. Understanding AI Technology 5. AI in Healthcare and Finance 6. Practical AI Applications 7. Learning AI for Beginners

Mastering AI Game Development with Unreal
Mastering AI Game Development with Unreal

Author: Hrishikesh Andurlekar

Publisher: Orange Education Pvt Ltd

Published: 2024-10-14

Total Pages: 502

ISBN-13: 8197953457

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TAGLINE Elevate your Unreal Engine skills with This Essential Guide to AI-Driven Game Development! KEY FEATURES ● Comprehensive coverage of AI techniques and their Unreal Engine implementation ● Practical hands-on exercises and real-world examples for seamless AI integration ● Covers all important AI workflows in Unreal Engine DESCRIPTION In the rapidly evolving world of game development, integrating Artificial Intelligence (AI) into your Unreal Engine projects is no longer optional—it’s essential. Mastering AI for Unreal Engine is your definitive guide to unlocking the transformative power of AI, propelling your games beyond the ordinary and into the realm of cutting-edge, immersive experiences. Through a step-by-step approach, you will explore a wide range of AI techniques, including pathfinding, behavior trees, perception systems, and the powerful Environment Query System (EQS). Each chapter delves into the theoretical underpinnings of these AI components, followed by hands-on exercises and real-world examples that demonstrate their integration within Unreal Engine. We will learn to create intelligent, dynamic, and engaging game experiences by leveraging the power of AI. What sets this book apart is its deep dive into emerging AI frameworks like the Mass Framework, giving you a strategic edge in adopting the latest trends and technologies that are shaping the future of gaming. You’ll learn how to optimize your AI systems, enhance performance, and master debugging techniques critical for smooth, efficient development processes. Mastering AI for Unreal Engine doesn’t just teach you AI—it empowers you to innovate, create intelligent game worlds, and stand out in the fiercely competitive game development landscape. WHAT WILL YOU LEARN ● Set up and navigate Unreal Engine to establish a strong foundation for AI development. ● Learn Blueprints, create class Blueprints, and use Blueprint communication for interactive AI components. ● Build AI characters, and master navigation meshes and pathfinding for dynamic movement. ● Create complex AI behaviors using Behavior Trees and Blackboard components. ● Implement AI Perception to add sight and hearing, making your AI characters more aware and reactive. ● Use State Trees to manage AI states with evaluators, tasks, and transitions. ● Leverage the Environmental Query System (EQS) to enable AI to make context-aware decisions. ● Debug and optimize AI with Unreal’s visual logging and debugging tools. ● Explore advanced AI design techniques like Data Oriented Design, Mass AI, and ZoneGraph. WHO IS THIS BOOK FOR? This book is tailored for game developers, aspiring designers, and anyone interested in integrating AI into Unreal Engine projects. Suitable for beginners to experienced professionals, it’s ideal for students, hobbyists, and industry pros looking to enhance their AI skills. Whether you're creating Non-Player Characters (NPCs), designing complex decision-making systems, or advancing game AI, this book provides the tools and knowledge you need to succeed. TABLE OF CONTENTS 1. Introduction to Unreal Engine 2. Unreal Blueprints 3. Understanding AI in Games 4. Navigation and Pathfinding 5. Behavior Trees and Blackboards 6. AI Perception 7. StateTree 8. Environment Query System 9. SmartObjects 10. Debugging AI in Unreal Engine 11. Mass Framework and Future Trends in GameAI Index

Mastering AI-Powered Trading Bots for Options:
Mastering AI-Powered Trading Bots for Options:

Author: Jeffery Long

Publisher: Jeffery William Long

Published: 2024-08-15

Total Pages: 112

ISBN-13:

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Mastering AI-Powered Trading Bots for Options Analyzing Large Amounts of Data Faster Than Humans Can Read AI can help traders make more informed decisions by analyzing large amounts of data and identifying patterns that humans may miss. Some ways AI can help in trading options include: 1. Predictive analytics: AI algorithms can analyze historical market data and predict future price movements, helping traders make more accurate decisions on which options to buy. 2. Sentiment analysis: AI can analyze news articles, social media posts, and other sources of information to gauge market sentiment and identify potential trading opportunities. 3. Risk management: AI can help traders manage risk by analyzing their portfolio and identifying potential risks and opportunities for hedging. 4. Automation: AI can automate the trading process, executing trades based on predetermined criteria and removing human emotion from the decision-making process. 5. Machine learning: AI can continuously learn from past trading data and optimize trading strategies over time, adapting to changing market conditions and improving performance. Overall, AI can help traders make more informed decisions, reduce risk, and potentially increase returns when trading options. Chapter 1: Introduction to AI and Option Trading Welcome to the exciting world of AI-powered trading bots for executing options trades. In this subchapter, we will explore the fundamentals of AI and option trading, providing you with a solid foundation to begin your journey into the world of trading stocks and options. Whether you are a novice trader looking to learn the basics or an experienced investor seeking to leverage the power of AI technology in your trading strategies, this subchapter is designed to help you understand the key concepts and principles that drive success in the world of option trading. First and foremost, it is important to understand what AI is and how it is revolutionizing the way we approach financial markets. Artificial intelligence, or AI, refers to the simulation of human intelligence processes by machines, particularly computer systems. In the context of option trading, AI can be used to analyze vast amounts of data, identify patterns and trends, and make informed decisions about when to buy or sell options. By harnessing the power of AI technology, traders can gain a competitive edge in the market and increase their chances of success.

Mastering AI for Marketing: A Comprehensive Guide
Mastering AI for Marketing: A Comprehensive Guide

Author: Colin Tandy

Publisher: Colin Tandy

Published: 2024-03-31

Total Pages: 69

ISBN-13:

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Unleash the Power of AI to Transform Your Marketing Mastering AI for Marketing: A Comprehensive Guide by Colin Tandy equips you with the knowledge and strategies to leverage the transformative power of Artificial Intelligence in today's dynamic marketing landscape. This book is your one-stop shop for: Understanding the Fundamentals of AI: Demystify AI concepts and explore its potential applications in marketing. Building a Winning AI Marketing Strategy: Learn how to identify the most impactful AI use cases for your brand and craft a data-driven roadmap for success. Harnessing the Power of AI Tools: Discover a practical toolkit of AI-powered marketing technologies and platforms to streamline your campaigns and optimize results. Unlocking Customer Insights with AI: Leverage AI for deep customer understanding, hyper-personalization, and creating targeted marketing campaigns. Staying Ahead of the Curve: Explore the latest advancements and future trends in AI marketing to ensure you remain competitive. Mastering AI for Marketing empowers you to: Boost campaign effectiveness and ROI. Personalize customer experiences at scale. Make data-driven marketing decisions for smarter resource allocation. Gain a competitive edge in the ever-evolving marketing landscape. Embrace the future of marketing. Download your copy of Mastering AI for Marketing today!

Mastering AI and Cloud Robotics
Mastering AI and Cloud Robotics

Author: Shakil Akhtar

Publisher: BPB Publications

Published: 2024-10-29

Total Pages: 446

ISBN-13: 936589705X

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DESCRIPTION This book teaches theory and coding examples to help readers design AI-powered cloud robotics applications. AI and robotics engineers will learn to build scalable systems, apply various methods for monitoring and prediction, and optimize systems to reduce costs and increase performance using the architectural techniques described. This book offers a detailed look into cloud robotics, starting with cloud computing basics and moving into its applications in robotics. It highlights the role of AI, ML, and computer vision in advancing robotic capabilities. This book also covers cloud robotics infrastructure, focusing on communication protocols and the ROS2 framework. Further, you will learn about building cloud-enabled robots and using AWS for AI and robotics. It addresses data privacy and security, concluding with real-world applications across various industries and insights into the future of cloud robotics. This book equips you with the foundational knowledge and practical skills to leverage the power of cloud computing to enhance the capabilities of robotic systems. You will gain the ability to design, develop, deploy, and manage cloud-enabled robots, pushing the boundaries of automation and innovation across various industries. KEY FEATURES ● Learn the basics of cloud computing and advanced AI techniques for cloud robotics applications. ● Gain hands-on experience through practical exercises and examples to strengthen your understanding of applications in cloud robotics. ● Outline the steps to develop a cloud robotic application using ROS and AWS. WHAT YOU WILL LEARN ● Understand cloud computing concepts, including service models, deployment models, and security. ● Explore cloud robotics history, benefits, and AI integration in robotic systems. ● Learn AI algorithms, ML, and deep learning for robotics applications. ● Gain skills in computer vision, object detection, and enhancing robot perception using AI. ● Master Robot Operating System 2 (ROS2) architecture and build cloud-enabled robots with hands-on experience. WHO THIS BOOK IS FOR The primary audience of this book is robotics engineers, AI engineers, and software developers with a basic understanding of robotics and cloud computing or no prior experience of the subject. This book contains practical code samples in Python and assumes that the reader has a fundamental understanding of Python programming. TABLE OF CONTENTS 1. Fundamentals of Cloud Computing 2. Introduction to Cloud Robotics 3. Artificial Intelligence in Cloud Robotics 4. Artificial Intelligence and Robot Perception 5. Cloud Robotics Connectivity 6. Communications and Processing in Cloud Robotics 7. Robot Operating System 2 8. Building a Cloud-enabled Robot 9. AI and Robotics Using AWS 10. Security in Cloud Robotics 11. Real-world Cloud Robotics Applications 12. Conclusion and Future Directions