Artificial Intelligence For Beginners A Quick Guide To Understanding Ai
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Artificial Intelligence For Beginners A Quick Guide To Understanding Ai
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Author : Ade Suryani
language : en
Publisher: GuinEvel Editions
Release Date : 2025-06-09
Artificial Intelligence For Beginners A Quick Guide To Understanding Ai written by Ade Suryani and has been published by GuinEvel Editions this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-09 with Computers categories.
ARTIFICIAL INTELLIGENCE FOR BEGINNERS: A QUICK GUIDE TO UNDERSTANDING AI is your essential, easy-to-follow introduction to the world of Artificial Intelligence (AI). Whether you're a student, entrepreneur, freelancer, content creator, or simply curious about AI, this book gives you a clear and simple understanding of how AI works — even if you have no technical background. In this powerful beginner’s guide, you’ll learn: - What is Artificial Intelligence and how it impacts your life - The differences between Machine Learning, Deep Learning, Natural Language Processing, and Computer Vision - Real-world AI applications in business, healthcare, finance, education, and everyday tasks - How to start using AI tools for writing, content creation, automation, and passive income opportunities - Simple explanations of complex AI concepts without overwhelming jargon - Common mistakes beginners make when approaching AI 📊 Perfect for: beginners, students, professionals, business owners, freelancers, content creators, investors, and anyone who wants to take advantage of the AI revolution. 📈 This book simplifies the complex world of AI into practical, real-life applications — helping you master the basics and confidently take your first steps into the future of technology. 🔥 Get ready to unlock the power of AI — faster and easier than you ever imagined.
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 For Beginners A Simple Guide To Understanding And Using Chatgpt Deepseek Bard And Other Top Ai Apps
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Author : Luisa Lorek
language : en
Publisher: epubli
Release Date : 2025-02-16
Ai For Beginners A Simple Guide To Understanding And Using Chatgpt Deepseek Bard And Other Top Ai Apps written by Luisa Lorek and has been published by epubli this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-16 with Computers categories.
AI for Beginners: A Simple Guide to Understanding and Using ChatGPT, DeepSeek, Bard, and Other Top AI Apps Unlock the power of AI – no tech degree required! Have you ever wondered what AI really is? This book breaks it down, explaining the core ideas in plain English, no tech degree required. Then, we dive into the coolest AI apps, showing you exactly what they can do and how you can use them. AI is changing everything, and this book makes it easy to understand how. Inside, you'll discover: What AI really is (and isn't): Clear explanations of key concepts, demystifying the jargon. The top AI apps: Explore ChatGPT, DeepSeek, Bard, and other cutting-edge tools. Practical uses: Learn how AI can help you write, code, research, and more. The future of AI: Understand the trends shaping our world and how to navigate them. Raising kids in the age of AI: Guidance for parents on fostering essential skills and a balanced perspective. This book is your essential guide to understanding and using AI, empowering you to thrive in this exciting new era. Get your copy today and unlock the potential of AI! By Luisa Lorek Inspiration Hub
Introduction To Artificial Intelligence
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Author : Wolfgang Ertel
language : en
Publisher: Springer
Release Date : 2018-01-18
Introduction To Artificial Intelligence written by Wolfgang Ertel and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-18 with Computers categories.
This accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligence (AI). The broad-ranging discussion covers the key subdisciplines within the field, describing practical algorithms and concrete applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks, and reinforcement learning. Fully revised and updated, this much-anticipated second edition also includes new material on deep learning. Topics and features: presents an application-focused and hands-on approach to learning, with supplementary teaching resources provided at an associated website; contains numerous study exercises and solutions, highlighted examples, definitions, theorems, and illustrative cartoons; includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learning; reports on developments in deep learning, including applications of neural networks to generate creative content such as text, music and art (NEW); examines performance evaluation of clustering algorithms, and presents two practical examples explaining Bayes’ theorem and its relevance in everyday life (NEW); discusses search algorithms, analyzing the cycle check, explaining route planning for car navigation systems, and introducing Monte Carlo Tree Search (NEW); includes a section in the introduction on AI and society, discussing the implications of AI on topics such as employment and transportation (NEW). Ideal for foundation courses or modules on AI, this easy-to-read textbook offers an excellent overview of the field for students of computer science and other technical disciplines, requiring no more than a high-school level of knowledge of mathematics to understand the material.
Artificial Intelligence
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Author : Blay Whitby
language : en
Publisher: The Rosen Publishing Group, Inc
Release Date : 2009-01-15
Artificial Intelligence written by Blay Whitby and has been published by The Rosen Publishing Group, Inc this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-01-15 with Business & Economics categories.
Introduces artificial intelligence, what it can do, myths about it, and ways it may expand in the future.
Artificial Intelligence For Dummies
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Author : John Paul Mueller
language : en
Publisher: John Wiley & Sons
Release Date : 2018-04-17
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 2018-04-17 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 For Beginners Chatgpt Deepseek Bard A Simple Guide To Understanding And Using The Top 3 Ai Apps
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Author : Luisa Lorek
language : en
Publisher: Inspiration Hub
Release Date : 2025-04-12
Ai For Beginners Chatgpt Deepseek Bard A Simple Guide To Understanding And Using The Top 3 Ai Apps written by Luisa Lorek and has been published by Inspiration Hub this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-12 with Computers categories.
Master ChatGPT, DeepSeek, and Bard: Your AI Toolkit for Writing, Coding, and More. Explore the world of AI with this beginner-friendly guide. Learn how to craft effective prompts for ChatGPT, streamline coding with DeepSeek, and access information with Bard. Discover how these powerful AI tools can boost your productivity and creativity. Get started with AI today!
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.
The Application Of Artificial Intelligence
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Author : Zoltán Somogyi
language : en
Publisher: Springer Nature
Release Date : 2021-03-11
The Application Of Artificial Intelligence written by Zoltán Somogyi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-11 with Computers categories.
This book presents a unique, understandable view of machine learning using many practical examples and access to free professional software and open source code. The user-friendly software can immediately be used to apply everything you learn in the book without the need for programming. After an introduction to machine learning and artificial intelligence, the chapters in Part II present deeper explanations of machine learning algorithms, performance evaluation of machine learning models, and how to consider data in machine learning environments. In Part III the author explains automatic speech recognition, and in Part IV biometrics recognition, face- and speaker-recognition. By Part V the author can then explain machine learning by example, he offers cases from real-world applications, problems, and techniques, such as anomaly detection and root cause analyses, business process improvement, detecting and predicting diseases, recommendation AI, several engineering applications, predictive maintenance, automatically classifying datasets, dimensionality reduction, and image recognition. Finally, in Part VI he offers a detailed explanation of the AI-TOOLKIT, software he developed that allows the reader to test and study the examples in the book and the application of machine learning in professional environments. The author introduces core machine learning concepts and supports these with practical examples of their use, so professionals will appreciate his approach and use the book for self-study. It will also be useful as a supplementary resource for advanced undergraduate and graduate courses on machine learning and artificial intelligence.
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