The Ai Starter Kit Unlocking Artificial Intelligence For Absolute Beginners
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The Ai Starter Kit Unlocking Artificial Intelligence For Absolute Beginners
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Author : Dizzy Davidson
language : en
Publisher: Pure Water Books
Release Date : 101-01-01
The Ai Starter Kit Unlocking Artificial Intelligence For Absolute Beginners written by Dizzy Davidson and has been published by Pure Water Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 101-01-01 with Computers categories.
If you’ve ever felt overwhelmed by the idea of artificial intelligence, If you’ve wondered how smart devices actually “think,” Or if you’re worried about being left behind in the tech revolution— ✅ THIS BOOK IS FOR YOU. The AI Starter Kit is your friendly companion for unlocking the world of artificial intelligence—without technical jargon, confusing diagrams, or lines of code. Designed for absolute beginners from every walk of life, this engaging guide breaks down complex ideas into relatable stories, easy-to-understand examples, and real-life applications. 📚 What You'll Discover: ✨ What AI really is—and why you’re already using it every day 🔍 How smart machines learn from data, just like humans 🎨 AI's creative side—from writing poems to painting digital art 💬 Behind-the-scenes of chatbots, smart assistants, and more 🚗 How AI powers self-driving cars, smart homes, and future tech 🛡️ Simple tips to protect your privacy in an AI-powered world 💡 Packed with step-by-step guides, tips & tricks, real-life success stories, visual illustrations, and fun “try-it-yourself” activities—this is the book you’ll read, re-read, and pass along to friends. Whether you’re 12 or 82, this book will ignite your curiosity, sharpen your tech awareness, and set you confidently on your AI journey. GET YOUR COPY TODAY!
Ai For Good How Smart Machines Are Fixing A Broken World
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Author : Dizzy Davidson
language : en
Publisher: Pure Water Books
Release Date : 2025-07-24
Ai For Good How Smart Machines Are Fixing A Broken World written by Dizzy Davidson and has been published by Pure Water Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-24 with Computers categories.
If you're worried about climate change but feel powerless... If you've wondered whether AI can actually help real people—not just big tech firms... Or if you're looking for practical, hopeful ways to improve the world, starting today... THIS BOOK IS FOR YOU. AI For Good: How Smart Machines Are Fixing a Broken World is your front-row seat to the powerful and surprising ways artificial intelligence is being used to tackle humanity’s biggest problems—from pandemic prevention to plastic pollution, from mental health support to earthquake recovery. Packed with easy-to-follow explanations, real-life stories, and step-by-step guides, this book is perfect for curious minds of all ages—even if you've never touched a line of code. 🧠 Inside this game-changing read, you'll discover: ✅ How AI is fighting disease, disaster, and inequality around the globe ✅ Tricks and tools anyone can use to tap into AI for good—no tech degree needed ✅ Simple hacks to make smarter choices using machine learning principles ✅ Illustrated examples and inspiring success stories that will leave you hopeful and energized ✅ Actionable tips to start using AI in everyday life to help yourself and others Whether you're a student, parent, teacher, activist, or just someone who cares, this book brings the miracles of machine intelligence down to earth—with heart, clarity, and purpose. Get your copy today! Your journey to understanding and using AI for good starts right here.
Artificial Intelligence For Dummies
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Author : John Paul Mueller
language : en
Publisher: John Wiley & Sons
Release Date : 2018-03-16
Artificial Intelligence For Dummies written by John Paul Mueller 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 2018-03-16 with Computers categories.
Step into the future with AI The term "Artificial Intelligence" has been around since the 1950s, but a lot has changed since then. Today, AI is referenced in the news, books, movies, and TV shows, and the exact definition is often misinterpreted. Artificial Intelligence For Dummies provides a clear introduction to AI and how it’s being used today. Inside, you’ll get a clear overview of the technology, the common misconceptions surrounding it, and a fascinating look at its applications in everything from self-driving cars and drones to its contributions in the medical field. Learn about what AI has contributed to society Explore uses for AI in computer applications Discover the limits of what AI can do Find out about the history of AI The world of AI is fascinating—and this hands-on guide makes it more accessible than ever!
Ai Crash Course
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Author : Hadelin de Ponteves
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-11-29
Ai Crash Course written by Hadelin de Ponteves 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 2019-11-29 with Computers categories.
Unlock the power of artificial intelligence with top Udemy AI instructor Hadelin de Ponteves. Key FeaturesLearn from friendly, plain English explanations and practical activitiesPut ideas into action with 5 hands-on projects that show step-by-step how to build intelligent softwareUse AI to win classic video games and construct a virtual self-driving carBook Description Welcome to the Robot World ... and start building intelligent software now! 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. Starting with the basics before easing you into more complicated formulas and notation, AI Crash Course gives you everything you 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, including Python, TensorFlow, Keras, and 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 learnMaster the basics of AI without any previous experienceBuild fun projects, including a virtual-self-driving car and a robot warehouse workerUse AI to solve real-world business problemsLearn how to code in PythonDiscover the 5 principles of reinforcement learningCreate your own AI toolkitWho 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).
Artificial Intelligence By Example
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Author : Denis Rothman
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-05-31
Artificial Intelligence By Example written by Denis Rothman 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 2018-05-31 with Computers categories.
Be an adaptive thinker that leads the way to Artificial Intelligence Key Features AI-based examples to guide you in designing and implementing machine intelligence Develop your own method for future AI solutions Acquire advanced AI, machine learning, and deep learning design skills Book Description Artificial Intelligence has the potential to replicate humans in every field. This book serves as a starting point for you to understand how AI is built, with the help of intriguing examples and case studies. Artificial Intelligence By Example will make you an adaptive thinker and help you apply concepts to real-life scenarios. Using some of the most interesting AI examples, right from a simple chess engine to a cognitive chatbot, you will learn how to tackle the machine you are competing with. You will study some of the most advanced machine learning models, understand how to apply AI to blockchain and IoT, and develop emotional quotient in chatbots using neural networks. You will move on to designing AI solutions in a simple manner rather than get confused by complex architectures and techniques. This comprehensive guide will be a starter kit for you to develop AI applications on your own. By the end of this book, will have understood the fundamentals of AI and worked through a number of case studies that will help you develop business vision. What you will learn Use adaptive thinking to solve real-life AI case studies Rise beyond being a modern-day factory code worker Acquire advanced AI, machine learning, and deep learning designing skills Learn about cognitive NLP chatbots, quantum computing, and IoT and blockchain technology Understand future AI solutions and adapt quickly to them Develop out-of-the-box thinking to face any challenge the market presents Who this book is for Artificial Intelligence by Example is a simple, explanatory, and descriptive guide for junior developers, experienced developers, technology consultants, and those interested in AI who want to understand the fundamentals of Artificial Intelligence and implement it practically by devising smart solutions. Prior experience with Python and statistical knowledge is essential to make the most out of this book.
Own The A I Revolution Unlock Your Artificial Intelligence Strategy To Disrupt Your Competition
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Author : Neil Sahota
language : en
Publisher: McGraw-Hill Education
Release Date : 2019-05-22
Own The A I Revolution Unlock Your Artificial Intelligence Strategy To Disrupt Your Competition written by Neil Sahota and has been published by McGraw-Hill Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-22 with Business & Economics categories.
Disrupt your industry, boost profitability, and grow your business with a powerful A.I. strategy. Artificial Intelligence (A.I.) is on the verge of disrupting every domain of human existence. What does that mean for your business? Everything. Building on the power of A.I. is the factor that will determine success or failure in the very near future—and this in-depth guide from the man who designed the A.I. system that famously won Jeopardy provides everything you need to be a leader in this revolution. Own the A.I. Revolution provides a future-forward look at A.I.—how it will look in the coming years, the countless business opportunities it will offer, the risks that come with it—and delivers the knowledge you need to navigate it all in real and practical ways. You’ll learn how to: •Find the right off-the-shelf A.I. solutions for your needs•Perform a cost/benefit analysis of implementing A.I. into your business strategy•Train and test A.I. before fully committing•Assemble superior teams to steer your A.I. future•Ensure you remain current and ahead of the curve You’ll also find interviews with today’s top experts and A.I. thought leaders on the exciting ways organizations are already transforming themselves through this revolutionary technology. A.I. sounds scary to some, but the best business leaders see it as an opportunity—as a way not only to drive profits and outpace the competition, but to build value for customers and make the world a better place. It’s time to face our brave new A.I.-driven world—and make sure you Own the A.I. Revolution!
Artificial Intelligence For Business
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Author : Jeffrey L. Coveyduc
language : en
Publisher: John Wiley & Sons
Release Date : 2020-04-21
Artificial Intelligence For Business written by Jeffrey L. Coveyduc 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 2020-04-21 with Computers categories.
Artificial Intelligence for Business: A Roadmap for Getting Started with AI will provide the reader with an easy to understand roadmap for how to take an organization through the adoption of AI technology. It will first help with the identification of which business problems and opportunities are right for AI and how to prioritize them to maximize the likelihood of success. Specific methodologies are introduced to help with finding critical training data within an organization and how to fill data gaps if they exist. With data in hand, a scoped prototype can be built to limit risk and provide tangible value to the organization as a whole to justify further investment. Finally, a production level AI system can be developed with best practices to ensure quality with not only the application code, but also the AI models. Finally, with this particular AI adoption journey at an end, the authors will show that there is additional value to be gained by iterating on this AI adoption lifecycle and improving other parts of the organization.
Python Artificial Intelligence Projects For Beginners
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Author : Dr. Joshua Eckroth
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-07-31
Python Artificial Intelligence Projects For Beginners written by Dr. Joshua Eckroth 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 2018-07-31 with Computers categories.
Build smart applications by implementing real-world artificial intelligence projects Key Features Explore a variety of AI projects with Python Get well-versed with different types of neural networks and popular deep learning algorithms Leverage popular Python deep learning libraries for your AI projects Book Description Artificial Intelligence (AI) is the newest technology that’s being employed among varied businesses, industries, and sectors. Python Artificial Intelligence Projects for Beginners demonstrates AI projects in Python, covering modern techniques that make up the world of Artificial Intelligence. This book begins with helping you to build your first prediction model using the popular Python library, scikit-learn. You will understand how to build a classifier using an effective machine learning technique, random forest, and decision trees. With exciting projects on predicting bird species, analyzing student performance data, song genre identification, and spam detection, you will learn the fundamentals and various algorithms and techniques that foster the development of these smart applications. In the concluding chapters, you will also understand deep learning and neural network mechanisms through these projects with the help of the Keras library. By the end of this book, you will be confident in building your own AI projects with Python and be ready to take on more advanced projects as you progress What you will learn Build a prediction model using decision trees and random forest Use neural networks, decision trees, and random forests for classification Detect YouTube comment spam with a bag-of-words and random forests Identify handwritten mathematical symbols with convolutional neural networks Revise the bird species identifier to use images Learn to detect positive and negative sentiment in user reviews Who this book is for Python Artificial Intelligence Projects for Beginners is for Python developers who want to take their first step into the world of Artificial Intelligence using easy-to-follow projects. Basic working knowledge of Python programming is expected so that you’re able to play around with code
Artificial Intelligence With Python
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Author : Prateek Joshi
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-01-27
Artificial Intelligence With Python written by Prateek 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 2017-01-27 with Computers categories.
Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application.
Machine Learning Revised And Updated Edition
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Author : Ethem Alpaydin
language : en
Publisher: MIT Press
Release Date : 2021-08-17
Machine Learning Revised And Updated Edition written by Ethem Alpaydin and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-17 with Computers categories.
MIT presents a concise primer on machine learning—computer programs that learn from data and the basis of applications like voice recognition and driverless cars. No in-depth knowledge of math or programming required! Today, machine learning underlies a range of applications we use every day, from product recommendations to voice recognition—as well as some we don’t yet use every day, including driverless cars. It is the basis for a new approach to artificial intelligence that aims to program computers to use example data or past experience to solve a given problem. In this volume in the MIT Press Essential Knowledge series, Ethem Alpaydin offers a concise and accessible overview of “the new AI.” This expanded edition offers new material on such challenges facing machine learning as privacy, security, accountability, and bias. Alpaydin explains that as Big Data has grown, the theory of machine learning—the foundation of efforts to process that data into knowledge—has also advanced. He covers: • The evolution of machine learning • Important learning algorithms and example applications • Using machine learning algorithms for pattern recognition • Artificial neural networks inspired by the human brain • Algorithms that learn associations between instances • Reinforcement learning • Transparency, explainability, and fairness in machine learning • The ethical and legal implicates of data-based decision making A comprehensive introduction to machine learning, this book does not require any previous knowledge of mathematics or programming—making it accessible for everyday readers and easily adoptable for classroom syllabi.