Hands On Artificial Intelligence For Beginners
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Hands On Artificial Intelligence For Beginners
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Author : Patrick D. Smith
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-10-31
Hands On Artificial Intelligence For Beginners written by Patrick D. Smith and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-31 with Computers categories.
Grasp the fundamentals of Artificial Intelligence and build your own intelligent systems with ease Key FeaturesEnter the world of AI with the help of solid concepts and real-world use casesExplore AI components to build real-world automated intelligenceBecome well versed with machine learning and deep learning conceptsBook Description Virtual Assistants, such as Alexa and Siri, process our requests, Google's cars have started to read addresses, and Amazon's prices and Netflix's recommended videos are decided by AI. Artificial Intelligence is one of the most exciting technologies and is becoming increasingly significant in the modern world. Hands-On Artificial Intelligence for Beginners will teach you what Artificial Intelligence is and how to design and build intelligent applications. This book will teach you to harness packages such as TensorFlow in order to create powerful AI systems. You will begin with reviewing the recent changes in AI and learning how artificial neural networks (ANNs) have enabled more intelligent AI. You'll explore feedforward, recurrent, convolutional, and generative neural networks (FFNNs, RNNs, CNNs, and GNNs), as well as reinforcement learning methods. In the concluding chapters, you'll learn how to implement these methods for a variety of tasks, such as generating text for chatbots, and playing board and video games. By the end of this book, you will be able to understand exactly what you need to consider when optimizing ANNs and how to deploy and maintain AI applications. What you will learnUse TensorFlow packages to create AI systemsBuild feedforward, convolutional, and recurrent neural networksImplement generative models for text generationBuild reinforcement learning algorithms to play gamesAssemble RNNs, CNNs, and decoders to create an intelligent assistantUtilize RNNs to predict stock market behaviorCreate and scale training pipelines and deployment architectures for AI systemsWho this book is for This book is designed for beginners in AI, aspiring AI developers, as well as machine learning enthusiasts with an interest in leveraging various algorithms to build powerful AI applications.
Hands On Artificial Intelligence With Java For Beginners
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Author : Nisheeth Joshi
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-08-31
Hands On Artificial Intelligence With Java For Beginners written by Nisheeth Joshi and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-31 with Computers categories.
Build, train, and deploy intelligent applications using Java libraries Key Features Leverage the power of Java libraries to build smart applications Build and train deep learning models for implementing artificial intelligence Learn various algorithms to automate complex tasks Book Description Artificial intelligence (AI) is increasingly in demand as well as relevant in the modern world, where everything is driven by technology and data. AI can be used for automating systems or processes to carry out complex tasks and functions in order to achieve optimal performance and productivity. Hands-On Artificial Intelligence with Java for Beginners begins by introducing you to AI concepts and algorithms. You will learn about various Java-based libraries and frameworks that can be used in implementing AI to build smart applications. In addition to this, the book teaches you how to implement easy to complex AI tasks, such as genetic programming, heuristic searches, reinforcement learning, neural networks, and segmentation, all with a practical approach. By the end of this book, you will not only have a solid grasp of AI concepts, but you'll also be able to build your own smart applications for multiple domains. What you will learn Leverage different Java packages and tools such as Weka, RapidMiner, and Deeplearning4j, among others Build machine learning models using supervised and unsupervised machine learning techniques Implement different deep learning algorithms in Deeplearning4j and build applications based on them Study the basics of heuristic searching and genetic programming Differentiate between syntactic and semantic similarity among texts Perform sentiment analysis for effective decision making with LingPipe Who this book is for Hands-On Artificial Intelligence with Java for Beginners is for Java developers who want to learn the fundamentals of artificial intelligence and extend their programming knowledge to build smarter applications.
Machine Learning Made Simple
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Author : Rhys Gallagher
language : en
Publisher: Independently Published
Release Date : 2025-10-18
Machine Learning Made Simple written by Rhys Gallagher and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-18 with Computers categories.
Machine Learning Made Simple: A Hands-On Introduction for Beginners Are you curious about the world of Artificial Intelligence but intimidated by the complex math and jargon? The future runs on Machine Learning, but breaking into this powerful field shouldn't require a Ph.D. This book is your accessible, no-fluff guide to mastering the fundamentals. We cut through the noise to deliver the essential concepts and practical skills you need to confidently build, train, and deploy your first AI models. Machine Learning Made Simple is designed for true beginners-no prior coding or advanced statistical knowledge is assumed.1 Through hands-on Python projects and clear, step-by-step guidance, you'll go from zero to a functioning machine learning practitioner. Here is the transformation you will achieve: Understand the AI Landscape: Get a clear view of the four major types of machine learning (Supervised, Unsupervised, Reinforcement, and Deep Learning) and know exactly when to use each one. Master Foundational Algorithms: Build essential models from scratch, including Linear Regression and the highly versatile K-Nearest Neighbors (KNN), giving you a deep, intuitive understanding of how they work.2 Clean and Prepare Data Like a Pro: Learn the non-negotiable step of Data Preprocessing to turn messy, real-world data into the high-quality input your models need to perform accurately.3 Evaluate and Tune Your Models: Stop guessing! Learn how to use key metrics like Accuracy, Precision, and Recall to objectively measure your model's performance and techniques to boost its effectiveness. Stop watching from the sidelines. Transform your career prospects and gain the skill set that is revolutionizing every industry. Dive into this hands-on introduction today and start building the future, one intelligent model at a time.
Machine Learning For Absolute Beginners Your First 10 Steps Into Ai A Mentor S Journey Through Algorithms Stories And Real World Magic
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Author : Anshul Saraf
language : en
Publisher: Anshul Saraf
Release Date : 2025-12-15
Machine Learning For Absolute Beginners Your First 10 Steps Into Ai A Mentor S Journey Through Algorithms Stories And Real World Magic written by Anshul Saraf and has been published by Anshul Saraf this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-15 with Computers categories.
Unlock the World of Artificial Intelligence — No Technical Background Required! Have you ever wondered how Netflix knows exactly what you want to watch next? Or how your phone unlocks just by looking at your face? Do terms like neural networks, machine learning, and data science sound like a foreign language reserved for tech geniuses? What if you could understand—and even explain—the technology shaping our future, without touching a single line of code or solving a complex equation? "Machine Learning for Absolute Beginners: Your First 10 Steps into AI" is your welcoming guide across the bridge from confusion to clarity. This isn't a dry textbook filled with jargon and formulas. This is a mentor's journey—a storytelling exploration designed for the curious mind. Forget intimidating math and complex programming. Award-winning author and educator Anshul Saraf demystifies artificial intelligence through simple analogies, human stories, and real-world magic. Imagine learning algorithms not from a lecture, but from a conversation with a wise friend in a cozy coffee shop. In this beginner's guide, you will discover: ✅ The Three "Flavors" of Machine Learning—Understand Supervised, Unsupervised, and Reinforcement Learning through stories as simple as a child's lunchbox. ✅ How Algorithms Actually "Learn"—Visualize the process using the powerful analogy of finding your way down a foggy valley. No calculus, just clear intuition. ✅ Your First Hands-On AI Project—Build a real, working image classifier with no code required using a free, browser-based tool. Experience the thrill of teaching a machine! ✅ Demystify ChatGPT, Neural Networks & Data Science—Learn the core principles powering today's most talked-about technologies. Finally understand what the headlines really mean. ✅ Navigate the Critical Ethics—Become an informed citizen who can ask the right questions about bias, privacy, and the future of AI. Move from fear to thoughtful understanding. ✅ See Machine Learning Everywhere—From life-saving medical diagnostics to the recommendations on your favorite apps, learn to spot the invisible AI that powers your daily life. This book is perfect for: • Complete Beginners with zero background in math, coding, or computer science. • Professionals, Managers, and Entrepreneurs who need a foundational understanding of AI to make smarter decisions. • Students, Creatives, and Lifelong Learners curious about the most transformative technology of our time. • Anyone tired of feeling left out of the conversation about artificial intelligence and data science. What makes this AI book different? ✧ Zero Math, Zero Code—Concepts are unlocked through storytelling and simple analogies, not equations. ✧ The "Mentor's Voice"—Learn from a guide who remembers what it's like not to know. ✧ Practical & Empowering—Includes a full, interactive project to cement your learning. ✧ Ethics-First Perspective—Equips you to think critically about the technology changing our world. Praise for the Approach: "Finally, a book that treats machine learning not as a secret code for engineers, but as a human story of patterns, mistakes, and learning—which is exactly what it is." — Early Reader Review Stop feeling intimidated by the future. Start understanding it. Your first step into the fascinating world of artificial intelligence, neural networks, and data science begins here. Scroll up and click "Buy Now" to start your journey today!
Artificial Intelligence For Beguinners
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Author : Daniel Huston
language : en
Publisher: Fabio Salvini
Release Date : 2023-02-22
Artificial Intelligence For Beguinners written by Daniel Huston and has been published by Fabio Salvini this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-22 with Computers categories.
Artificial Intelligence for Beginners" is a comprehensive guidebook that introduces readers to the fundamental concepts, techniques, and applications of artificial intelligence (AI). The book is written in an accessible language, making it suitable for anyone who wants to learn about AI without any prior background in the field. The book covers a range of topics related to AI, including machine learning, neural networks, deep learning, computer vision, natural language processing, and expert systems. It provides a clear and concise explanation of each topic, including the underlying principles, algorithms, and applications. The book also discusses the ethical and social implications of AI, such as job displacement, privacy concerns, and bias. It provides insights into the current state of AI research and development, as well as future trends and opportunities in the field. Throughout the book, readers will find numerous real-world examples and case studies that illustrate how AI is transforming various industries, such as healthcare, finance, transportation, and entertainment. The book also includes practical exercises and projects that enable readers to apply their newfound knowledge and skills in a hands-on manner. Overall, "Artificial Intelligence for Beginners" is an essential resource for anyone who wants to understand the basics of AI and its potential impact on society. It is suitable for beginners, students, and professionals who want to learn about AI and its applications
Conference On Artificial Intelligence For Space Applications
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Author :
language : en
Publisher:
Release Date : 1986
Conference On Artificial Intelligence For Space Applications written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Artificial intelligence categories.
Artificial Intelligence For Beginners
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Author : Aachal Dilip Choudhary
language : en
Publisher: Independently Published
Release Date : 2025-07-28
Artificial Intelligence For Beginners written by Aachal Dilip Choudhary and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-28 with Computers categories.
Artificial Intelligence for Beginners: A Practical Guide Towards Future Are you curious about Artificial Intelligence but don't know where to start? Artificial Intelligence for Beginners is your ideal companion to dive into the fascinating world of AI - simplified, practical, and future-ready. This beginner-friendly guide unpacks the core concepts of AI, Machine Learning, and Deep Learning in a clear, engaging manner. Whether you're a student, tech enthusiast, or simply someone eager to understand how AI is reshaping our world, this book makes complex ideas easy to grasp - without the jargon. Inside, you'll explore: The evolution and types of AI Real-world applications across industries How machines learn from data The ethical and societal implications of AI Hands-on tips to start your journey in AI Crafted with clarity and vision, this guide equips readers with the foundational knowledge needed to understand and engage with today's AI-driven future. Start your AI journey today - because the future belongs to those who understand it.
Generative Ai For Beginners Practical Guide To Chatgpt Machine Learning And Ai Applications
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Author : Caleb Morgan Whitaker
language : en
Publisher: Gabriel Mensah
Release Date : 2025-07-07
Generative Ai For Beginners Practical Guide To Chatgpt Machine Learning And Ai Applications written by Caleb Morgan Whitaker and has been published by Gabriel Mensah this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-07 with Computers categories.
🤖 Learn Generative AI — From Zero to Real Projects with Confidence Curious about AI but overwhelmed by technical jargon? Generative AI for Beginners is your clear, hands‑on guide to mastering ChatGPT, neural networks, and practical AI applications—all explained in simple terms for non‑techies and aspiring creators. 🔍 What You’ll Learn & Build Generative AI Simplified Explore how models like GPT‑4, GANs, and VAEs generate text, images, and audio—without getting lost in mathematics. Source: Generative AI for Beginners: A Comprehensive Guide simplifies these concepts for novices. ChatGPT & Prompt Engineering Learn how to design prompts that elicit useful, high‑quality responses for writing, decision‑making, or brainstorming—just like top-rated beginner AI guides. Neural Networks Made Accessible Cover core machine learning ideas like backpropagation, supervised vs. unsupervised learning, and model training using intuitive, non-technical explanations . Practical AI Applications You Can Build Use guided mini‑projects—create a chatbot, prompt‑powered text generator, or image generator—using free and open‑source tools, and gain real hands‑on experience. Ethics & Future Opportunities Understand ethical considerations, bias issues, and emerging Web3/AI trends so you can build responsibly and stay ahead . 🎯 Why This Book Works Beginner-First, Jargon-Free – No prior experience required. Learn at your own pace, with bite‑sized chapters. Project-Based Learning – Each section builds a real AI tool, not just theory—similar to bestsellers that focus on application. Up‑to‑Date for 2025 – Covers current models like GPT‑4, open-source frameworks like Hugging Face, and modern AI applications. Balance of Theory & Practice – Unlike superficial overviews, this guide gives you both understanding and the means to create tangible AI projects. 💡 Your Gains in Action ✅Benefit. 🔥You’ll Be Able To… Understand AI Fundamentals. Clearly explain and use generative AI in daily tasks. Interact Smart with ChatGPT. Create prompts for writing, research, and business needs. Build Real Tools. Deploy your own chatbot, image generator, or text app. Upload & Use Ethical AI. Consider bias, consent, and best practices in your projects. Stay Ahead in AI Trends. Understand LLMs, neural nets, GANs, and future AI paths. 👤 Who Should Read This Beginners eager to start building AI without coding Professionals and students wanting a full AI foundation and skills Creatives and entrepreneurs looking to leverage AI tools in their projects Ready to build useful AI projects in real-time? Tap Add to Cart for Generative AI for Beginners—your step-by-step roadmap to mastering prompt engineering, neural networks, and real-world AI applications by just reading and doing.
Ai Crash Course
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Author : Hadelin de Ponteves
language : en
Publisher:
Release Date : 2019-11-28
Ai Crash Course written by Hadelin de Ponteves and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-28 with Computers categories.
This friendly and accessible guide to AI theory and programming in Python requires no maths or data science background. Key Features Roll up your sleeves and start programming AI models No math, data science, or machine learning background required Packed with hands-on examples, illustrations, and clear step-by-step instructions 5 hands-on working projects put ideas into action and show step-by-step how to build intelligent software Book Description AI is changing the world - and with this book, anyone can start building intelligent software! Through his best-selling video courses, Hadelin de Ponteves has taught hundreds of thousands of people to write AI software. Now, for the first time, his hands-on, energetic approach is available as a book. Taking a graduated approach that starts with the basics before easing readers into more complicated formulas and notation, Hadelin helps you understand what you really need to build AI systems with reinforcement learning and deep learning. Five full working projects put the ideas into action, showing step-by-step how to build intelligent software using the best and easiest tools for AI programming: Google Colab Python TensorFlow Keras PyTorch AI Crash Course teaches everyone to build an AI to work in their applications. Once you've read this book, you're only limited by your imagination. What you will learn Master the key skills of deep learning, reinforcement learning, and deep reinforcement learning Understand Q-learning and deep Q-learning Learn from friendly, plain English explanations and practical activities Build fun projects, including a virtual-self-driving car Use AI to solve real-world business problems and win classic video games Build an intelligent, virtual robot warehouse worker Who this book is for If you want to add AI to your skillset, this book is for you. It doesn't require data science or machine learning knowledge. Just maths basics (high school level).
Machine Learning For Dummies
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Author : Luca Massaron
language : en
Publisher: John Wiley & Sons
Release Date : 2025-10-20
Machine Learning For Dummies written by Luca Massaron and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-20 with Computers categories.
The most human-friendly book on machine learning Somewhere buried in all the systems that drive artificial intelligence, you'll find machine learning—the process that allows technology to build knowledge based on data and patterns. Machine Learning For Dummies is an excellent starting point for anyone who wants deeper insight into how all this learning actually happens. This book offers an overview of machine learning and its most important practical applications. Then, you'll dive into the tools, code, and math that make machine learning go—and you'll even get step-by-step instructions for testing it out on your own. For an easy-to-follow introduction to building smart algorithms, this Dummies guide is your go-to. Piece together what machine learning is, what it can do, and what it can't do Learn the basics of machine learning code and how it integrates with large datasets Understand the mathematical principles that AI uses to make itself smarter Consider real-world applications of machine learning and write your own algorithms With clear explanations and hands-on instruction, Machine Learning For Dummies is a great entry-level resource for developers looking to get started with AI and machine learning.