Basic Ai

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Basic Ai

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Author : David Shrier
language : en
Publisher: Hachette UK
Release Date : 2024-01-11

Basic Ai written by David Shrier and has been published by Hachette UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-11 with Technology & Engineering categories.

In Basic AI, leading futurist David L. Shrier delves deep into the rapidly advancing world of artificial intelligence, delivering fascinating insights and exploring the impact this powerful technology will have on our lives and world. Artificial intelligence is driving workforce disruption on a scale not seen since the Industrial Revolution. In schools and universities, AI technology has forced a re-evaluation of the way students are taught and assessed. Meanwhile ChatGPT has become a cultural phenomenon, reaching 100 million users and attracting a $10 billion dollar investment in its parent company OpenAI. The race to dominate the generative AI market is accelerating at breakneck speed, inspiring breathless headlines and immense public interest. Basic AI provides a rare window into a frontier area of computer science that will change everything about how you live and work. Read this book and better understand how to succeed in the AI-enabled future.

Artificial Intelligence Simplified

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Author : Binto George
language : en
Publisher: CSTrends LLP
Release Date : 2016-01-08

Artificial Intelligence Simplified written by Binto George and has been published by CSTrends LLP this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-08 with Computers categories.

The book introduces key Artificial Intelligence (AI) concepts in an easy-to-read format with examples and illustrations. A complex, long, overly mathematical textbook does not always serve the purpose of conveying the basic AI concepts to most people. Someone with basic knowledge in Computer Science can have a quick overview of AI (heuristic searches, genetic algorithms, expert systems, game trees, fuzzy expert systems, natural language processing, super intelligence, etc.) with everyday examples. If you are taking a basic AI course and find the traditional AI textbooks intimidating, you may choose this as a “bridge” book, or as an introductory textbook. For students, there is a lower priced edition (ISBN 978-1944708016) of the same book. Published by CSTrends LLP.

Artificial Intelligence In Basic

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Author : Mike James
language : en
Publisher: Newnes
Release Date : 2013-09-03

Artificial Intelligence In Basic written by Mike James and has been published by Newnes this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-03 with Computers categories.

Artificial Intelligence in BASIC presents some of the central ideas and practical applications of artificial intelligence (AI) using the BASIC programs. This eight-chapter book aims to explain these ideas of AI that can be used to produce programs on microcomputers. After providing an overview of the concept of AI, this book goes on examining the features and difficulties of a heuristic solution in a wide range of human problems. The discussion then shifts to the application of a heuristic solution to a two-ply search program for a two-person game. The following chapters are devoted to the other components of AI, including the expert systems, memory structure, pattern recognition, and language. The concluding chapter deals with the alternative and auxiliary approaches to the study of AI and its practical applications. Computer scientists and programmers will find this work invaluable.

Demystifying Artificial Intelligence

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Author : Prashant Kikani
language : en
Publisher: BPB Publications
Release Date : 2021-01-05

Demystifying Artificial Intelligence written by Prashant Kikani and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-05 with Computers categories.

Learn AI & Machine Learning from the first principles. KEY FEATURESÊÊ _ Explore how different industries are using AI and ML for diverse use-cases. _ Learn core concepts of Data Science, Machine Learning, Deep Learning and NLP in an easy and intuitive manner. _ Cutting-edge coverage on use of ML for business products and services. _ Explore how different companies are monetizing AI and ML technologies. _ Learn how you can start your own journey in the AI field from scratch. DESCRIPTION AI and machine learning (ML) are probably the most fascinating technologies of the 21st century. AI is literally in every industry now. From medical to climate change, education to sport, finance to entertainment, AI is disrupting every industry as we know. So, the basic knowledge of AI/ML becomes mandatory for everyone. This book is your first step to start the journey in this field. Along with basic concepts of fields, like machine learning, deep learning and NLP, we will also explore how big companies are using these technologies to deliver greater user experience and earning millions of dollars in profit. Also, we will see how the owners of small- or medium-sized businesses can leverage and integrate these technologies with their products and services. Leveraging AI and ML can become that competitive moat which can differentiate the product from others. In this book, you will learn the root concepts of AI/ML and how these inanimate machines can actually become smarter than the humans at a few tasks, and how companies are using AI and how you can leverage AI to earn profits. WHAT YOU WILL LEARN Ê _ Core concepts of data science, machine learning, deep learning and NLP in simple and intuitive words. _ How you can leverage and integrate AI technologies in your business to differentiate your product in the market. _ The limitations of traditional non-tech businesses and how AI can bridge those gaps to increase revenues and decrease costs. _ How AI can help companies in launching new products, improving existing ones and automating mundane processes. _ Explore how big tech companies are using AI to automate different tasks and providing unique product experiences to their users. WHO THIS BOOK IS FORÊÊ This book is for anyone who is curious about this fascinating technology and how it really works at its core. It is also beneficial to those who want to start their career in AI/ ML. TABLE OF CONTENTSÊ 1. Introduction 2. Going deeper in ML concepts 3. Business perspective of AI 4. How to get started and pitfalls to avoid

Overview Of Artificial Intelligence And Robotics V 1 Pt C Basic Ai Topics

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Author : United States. National Aeronautics and Space Administration
language : en
Publisher:
Release Date : 1984

Overview Of Artificial Intelligence And Robotics V 1 Pt C Basic Ai Topics written by United States. National Aeronautics and Space Administration and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with categories.

Artificial Intelligence The Basics

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Author : Kevin Warwick
language : en
Publisher: Routledge
Release Date : 2013-03-01

Artificial Intelligence The Basics written by Kevin Warwick and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-01 with Philosophy categories.

'if AI is outside your field, or you know something of the subject and would like to know more then Artificial Intelligence: The Basics is a brilliant primer.' - Nick Smith, Engineering and Technology Magazine November 2011 Artificial Intelligence: The Basics is a concise and cutting-edge introduction to the fast moving world of AI. The author Kevin Warwick, a pioneer in the field, examines issues of what it means to be man or machine and looks at advances in robotics which have blurred the boundaries. Topics covered include: how intelligence can be defined whether machines can 'think' sensory input in machine systems the nature of consciousness the controversial culturing of human neurons. Exploring issues at the heart of the subject, this book is suitable for anyone interested in AI, and provides an illuminating and accessible introduction to this fascinating subject.

An Overview Of Artificial Intelligence And Robotics Pt C Basic Ai Topics

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Author : William B. Gevarter
language : en
Publisher:
Release Date : 1982

An Overview Of Artificial Intelligence And Robotics Pt C Basic Ai Topics written by William B. Gevarter and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1982 with Artificial intelligence categories.

Ai Deep Mind And Reinforcement Learning Basic Explanation Absolutely For Beginners Get 3 Amazing Projects Source Code

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Author : Vibhas Mahaldar
language : en
Publisher: Vibhas Mahaldar
Release Date : 2021-07-19

Ai Deep Mind And Reinforcement Learning Basic Explanation Absolutely For Beginners Get 3 Amazing Projects Source Code written by Vibhas Mahaldar and has been published by Vibhas Mahaldar this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-19 with Computers categories.

This book is based on Artificial Intelligence and Machine Learning in this book have 2 parts, First part is about full introduction of Artificial Intelligence and second part is about Deep Mind and Reinforcement learning. 1 part : In this part we learn about Artificial Intelligence subsets like · AI explanation · Understanding AI · Categorization of AI · Special Consideration · Applications of AI around us/Details · Understanding AI, ML, DL/Details · Introduction to AI domains/Details · AI Ethics explanation · Why are AI ethics important? · What are the ethical challenges of AI? · Game Time · Python game Stone, Paper and Scissor . SDG Goals/Details 2 part : in this part we learn about Deep Mind and Reinforcement learning and there subset like Learn Machine to walk · Explanation Alpha Go · Explanation · History · defeated Go Players Reinforcement Learning · Explanation · Bipedal Walker (Example 1) · Solving the environment · Training visualization (Slightly uneven terrain) · Training visualization (Hardcore terrain) · DDPG network architecture · Example 2 · Q Values, and Q Learning Deep Q Network · Explanation Neural Network · Biological Neural Networks · Artificial neural networks (ANNs) · Training . Snake game · Explanation · Action · State · Reward Introduction to Google Colab · Explanation · Uploading Files Code · Upload and unzip · Explanation of code . Source code And this book is absolutely for beginners and also get the 3 amazing projects source code.

An Overview Of Artificial Intelligence And Robotics Volume 1

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Author : United States. National Aeronautics and Space Administration
language : en
Publisher:
Release Date : 1983

An Overview Of Artificial Intelligence And Robotics Volume 1 written by United States. National Aeronautics and Space Administration and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983 with Artificial intelligence categories.

Readily understandable overviews of search oriented problem solving, knowledge representation, and computational logic are provided. Mechanization, automation and artificial intelligence are discussed as well as how they interrelate.

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