I can't help but feel excited about the progress Artificial Intelligence (AI) has made in recent years. It's a rapidly growing field that has completely transformed various industries including healthcare, finance, transportation, and entertainment. The ever-evolving technology is now a crucial part of our daily lives, making it essential to have a deeper understanding of it. With so much information available, it can be overwhelming to know where to start. That's why I've put together a list of 8 books that can help you dive deeper into AI. Whether you're an expert or just starting out, these reads provide valuable insights into AI, its current applications, and its potential future. These books will explore the ethical implications of AI and its impact on society, among other topics, and offer a well-rounded perspective on this fascinating field. So, let's get started with my list of Artificially Intelligent Reads!
Simply Artificial Intelligence is the ultimate guide to understanding AI quickly and easily. With easy-to-understand language and bold graphics, it provides an introduction to the world of AI, covering a broad range of fields from computing to philosophy. Dive deep into this book to discover over 120 concepts, applications, and theories explained in a clear, visual way. Whether you're a student or just want a jargon-free overview of AI, this essential guide is perfect for beginners and time-poor readers. Explore how AI has transformed our lives, its predicted evolution, and ethical debates surrounding it. Don't miss out on this must-read guide!
Engage with artificial intelligence (AI) every day through smart devices like smartwatches, security alarms, and smart speakers. Artificial Intelligence For Dummies simplifies this complex topic by providing a basic definition of AI and explaining data use, algorithms, special hardware, and more. This book separates the reality of AI from the hype and helps you understand its limits, how it speeds up data gathering and analysis, and how it is used in hardware applications like drones, robots, and vehicles. Discover where AI could be used in space, medicine, and communication fields. Almost 80% of the devices you use daily depend on AI, and this guide will help you feel smarter and more informed. Unlock the secrets of AI by picking up this popular guide today!
If you're feeling like you can't quite wrap your head around Artificial Intelligence (AI), don't worry - you're not alone. It's a complex subject, but with the right resources, anyone can learn it intuitively. That's where this book comes in - it's designed to introduce ordinary people to the world of AI, including how AI programs work, how they learn, and what's needed to build them. The best part? This book doesn't require any complicated math, calculus, code, or abstract concepts. It's the perfect starting point for anyone looking to understand AI without feeling overwhelmed. This book is just the beginning of a series on AI and neural networks. With these resources at your fingertips, you'll be an AI expert in no time!
Looking for a comprehensive guide to effectively understand and utilize AI? Look no further! This book offers readers a foundational understanding of AI and its potential applications, along with practical insights and tools for implementing it in both personal and professional contexts. Whether you're a business leader or healthcare professional, or simply someone curious about AI, this book is a must-read. Discover how to navigate the future of this transformative technology with confidence and take advantage of its potential for growth and innovation. Get your hands on this essential resource today!
Machine learning is one of the most exciting forms of artificial intelligence, enabling fast problem-solving on a large scale. A mastery of its principles is essential for the future of tech careers, including fraud detection, pricing models, and credit scoring. The fully updated 2nd edition of Machine Learning For Dummies is the perfect introduction to this fascinating field. It covers the basics, from the underlying math principles to building models using Python 3.8 and TensorFlow 2.x. This beginner's guide allows you to become quickly confident in using machine learning to solve real-world problems, whether for college or business. Don't settle for outdated data – this book uses the latest datasets. Start your journey to mastering machine learning today!
Learn how to become an AI specialist and transition from a programmer with Laurence Moroney's AI courses. This beginner's book follows a hands-on, code-first approach, teaching you essential machine learning topics like computer vision, natural language processing (NLP), and sequence modeling. Unlike other machine learning books that start with advanced math, this guide focuses on practical lessons and code samples to help build confidence.
This book is a must-read for mobile developers who want to add AI to their toolbox. Authored by Laurence Moroney, a lead AI advocate at Google, it provides an introduction to machine learning techniques and tools, and guides you through creating and running models on popular mobile platforms like iOS and Android. With this book, you can explore options for implementing ML and AI on mobile devices, create ML models, and write ML Kit and TensorFlow Lite apps for iOS and Android, as well as Core ML/Create ML apps for iOS. You'll also learn how to choose the best techniques and tools for your use case, and follow privacy and ethics best practices for ML on devices. Don't miss out on the ML revolution for mobile, get your copy now!
"AI Ethics" is an essential read for those interested in understanding the ethical issues raised by artificial intelligence. From Google's search engine to self-driving cars, AI is powering numerous applications that are transforming society. In this volume of the MIT Press Essential Knowledge series, philosopher of technology Mark Coeckelbergh offers an accessible synthesis of the ethical issues surrounding AI. He goes beyond the usual hype and nightmare scenarios to address concrete questions related to AI, such as the fundamental differences between humans and machines and the moral status of AI. Coeckelbergh provides an overview of machine learning and data science, while also exploring key ethical issues such as privacy concerns, responsibility, transparency, and bias in data science processes. Additionally, he examines the future of work in an AI economy and analyzes various policy proposals. Ultimately, Coeckelbergh argues for ethical practices that embed values in design and include a vision of the good life and society. If you're looking for an insightful and informative read on the ethical implications of AI, "AI Ethics" is a must-read.
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