Ai Beginner S Guide
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Artificial Intelligence
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Author : Blay Whitby
language : en
Publisher: One World (UK)
Release Date : 2003
Artificial Intelligence written by Blay Whitby and has been published by One World (UK) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Computers categories.
This jargon-free guide introduces the futuristic world of Artificial Intelligence, the science of creating machines that can think for themselves.
Introduction To Artificial Intelligence
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Author : Simplilearn
language : en
Publisher: IndraStra Global
Release Date : 2020-12-14
Introduction To Artificial Intelligence written by Simplilearn and has been published by IndraStra Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-14 with Computers categories.
This AI beginner’s guide aims to take the readers through the current AI landscape, provides the key fundamentals and terminologies of AI, and offers practical guidelines on why and how you can be a part of the AI revolution, and also the ways in which you can scale up your AI career.
Deep Learning For Coders With Fastai And Pytorch
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Author : Jeremy Howard
language : en
Publisher: O'Reilly Media
Release Date : 2020-06-29
Deep Learning For Coders With Fastai And Pytorch written by Jeremy Howard and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-29 with Computers categories.
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala
Artificial Intelligence
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Author : Neil Wilkins
language : en
Publisher:
Release Date : 2019-07-20
Artificial Intelligence written by Neil Wilkins and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-20 with Computers categories.
So, what is the deal with intelligent machines? Will they soon decide on things such as copyright infringement? How about self-driving trucks and cars? What kind of impact will smart machines have on society and the future of human jobs?
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.
Ai Beginner S Guide
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Author : Ralf Koch
language : en
Publisher: Ralf Koch
Release Date : 2025-07-25
Ai Beginner S Guide written by Ralf Koch and has been published by Ralf Koch this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-25 with Computers categories.
Transform Your Life with AI: The Complete Beginner's Guide That Actually Works Discover how to harness the power of ChatGPT, Claude, and Google Gemini—even if you've never used AI before. Are you tired of feeling left behind by the AI revolution? Do you want to boost your productivity, enhance your creativity, and solve problems faster, but don't know where to start with artificial intelligence? "AI Beginner's Guide" is the practical, no-nonsense guide that will take you from complete beginner to confident AI user in just a few hours. What You'll Learn: Master the Big Three AI Platforms: ChatGPT for conversational problem-solving and creative brainstorming Claude for analytical thinking and professional communication Google Gemini for integrated workflows and productivity enhancement Essential Skills That Actually Work: The 5-element framework for writing prompts that get amazing results How to avoid the common mistakes that trip up 90% of beginners Advanced techniques used by AI experts (simplified for everyday users) Step-by-step examples that progress from basic to expert level Real-World Applications: Transform your daily workflows and save hours every week Write better emails, reports, and presentations in minutes Get personalized advice for complex decisions and challenges Automate repetitive tasks and focus on what matters most Why This Book Is Different: Unlike other AI books that focus on theory or technical details, "AI Beginner's Guide" is built around progressive examples that get more sophisticated as you learn. Each chapter includes: ✅ Before and after examples showing the difference between poor and excellent AI interactions ✅ Copy-and-paste templates you can use immediately ✅ Troubleshooting guides for when things don't work as expected ✅ Safety guidelines to protect your privacy and data ✅ Quick reference sections for ongoing use Perfect For: Professionals who want to work smarter, not harder Students looking to enhance their research and writing Entrepreneurs seeking AI-powered business solutions Anyone curious about AI but intimidated by technical complexity Complete beginners who need a safe, structured introduction Start Your AI Journey Today In a little more than 180 pages, you'll go from AI novice to confident user. No technical background required. No complex jargon. Just practical techniques that work. The AI revolution is happening now. Don't get left behind.
A Beginner S Guide To Artificial Intelligence
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Author : Dr Nisha Agnihotri
language : en
Publisher: OrangeBooks Publication
Release Date : 2025-03-14
A Beginner S Guide To Artificial Intelligence written by Dr Nisha Agnihotri and has been published by OrangeBooks Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-14 with Technology & Engineering categories.
It should reflect the work in genuineness and concise way. It helps students to have a complete knowledge and content of the course.
Using Artificial Intelligence Absolute Beginner S Guide
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Author : Michael Miller
language : en
Publisher: Que Publishing
Release Date : 2024-11-27
Using Artificial Intelligence Absolute Beginner S Guide written by Michael Miller and has been published by Que Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-27 with Computers categories.
Using Artificial Intelligence Absolute Beginner’s Guide Who knew how simple AI could be? Using Artificial Intelligence Absolute Beginner’s Guide will have you getting the most of popular AI tools in no time! Here’s a small sample of what you’ll find inside: Learn how AI can make everyday life easier. Get tips for using AI to write, gather information, get advice, and more. Discover how to use AI to generate images that are realistic and fantastical! Examine the risks and rewards of artificial intelligence. Find step-by-step instructions for today’s most popular AI tools, including ChatGPT, Google Gemini, Meta AI, Microsoft Copilot, and Midjourney. Find out how to tell when something is AI generated so you don’t get fooled by deepfakes. Artificial intelligence can be fun and productive if you know which tools to use and when. Using Artificial Intelligence Absolute Beginner’s Guide tells you all about today’s major AI tools and shows how to get the best results from them. You’ll learn to use AI for turning your ideas into art, writing a great email, sharpening your resume, and even sparking conversation. Instantly research everything from planning a trip to making your next big purchase. It’s all a matter of picking the right AI tool and constructing the right prompt. You’ll also learn to protect yourself from the risks of AI and distinguish AI fakes from the real thing. Everything you need to know is here in this book!
Beginners Guide To Ai Chatgpt 3 5
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Author : Charles Maxwell
language : en
Publisher: Dorrance Publishing
Release Date : 2024-01-30
Beginners Guide To Ai Chatgpt 3 5 written by Charles Maxwell and has been published by Dorrance Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-30 with Self-Help categories.
About the Book With the emergence of technologies like ChatGPT, the world of A.I. is on the cusp of a breakthrough, leaving people both excited and apprehensive. Beginners Guide to AI: ChatGPT 3.5 is a glimpse into current chat bot artificial intelligence responses and an informative way to help users understand what questions a chat bot may answer. It also serves as an introduction to the world of A.I. for those that may be skeptical, showing that A.I. can and will be a vital tool for human development going forward, not a terrifying enemy that must be fought. About the Author Charles Maxwell is a laboratory technician in Akron, Ohio for one of the city’s largest tire manufacturers. He is deeply invested in giving back and investing in his local community. This is his first book.
Python
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Author : Denis Rothman
language : en
Publisher:
Release Date : 2018-12-21
Python written by Denis Rothman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-21 with Computers categories.
Develop real-world applications powered by the latest advances in intelligent systems Key Features Gain real-world contextualization using deep learning problems concerning research and application Get to know the best practices to improve and optimize your machine learning systems and algorithms Design and implement machine intelligence using real-world AI-based examples Book Description This Learning Path offers practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis. You will be introduced to various machine learning and deep learning algorithms from scratch, and show you how to apply them to practical industry challenges using realistic and interesting examples. You will learn to build powerful, robust, and accurate predictive models with the power of TensorFlow, combined with other open-source Python libraries. Throughout the Learning Path, you'll learn how to develop deep learning applications for machine learning systems. Discover how to attain deep learning programming on GPU in a distributed way. By the end of this Learning Path, you know the fundamentals of AI and have worked through a number of case studies that will help you apply your skills to real-world projects. This Learning Path includes content from the following Packt products: Artificial Intelligence By Example by Denis Rothman Python Deep Learning Projects by Matthew Lamons, Rahul Kumar, and Abhishek Nagaraja Hands-On Artificial Intelligence with TensorFlow by Amir Ziai, Ankit Dixit What you will learn Use adaptive thinking to solve real-life AI case studies Rise beyond being a modern-day factory code worker Understand future AI solutions and adapt quickly to them Master deep neural network implementation using TensorFlow Predict continuous target outcomes using regression analysis Dive deep into textual and social media data using sentiment analysis Who this book is for This Learning Path is for anyone who wants to understand the fundamentals of Artificial Intelligence and implement it practically by devising smart solutions. You will learn to extend your machine learning and deep learning knowledge by creating practical AI smart solutions. Prior experience with Python and statistical knowledge is essential to make the most out of this Learning Path.