Artificial Intelligence 101: From Zero to AI

Artificial Intelligence 101: From Zero to AI PDF Author: Estefano Smith
Publisher: Estefano Smith
ISBN:
Category : Computers
Languages : en
Pages : 24

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Book Description
Are you curious about the world of artificial intelligence but don't know where to start? From Zero to AI is the perfect beginner's guide that covers the basics of AI. In this book, you will explore the definition and history of AI, basic principles, and the difference between AI and human intelligence. You will also delve into machine learning, natural language processing, robotics, ethics, and social implications of AI. Discover the different types of machine learning algorithms, such as supervised and unsupervised learning, and neural networks and deep learning. Understand how natural language processing works and its applications in everyday life. Explore the introduction to robotics, the types of robots, and their applications in various industries. In addition, you will learn about the ethical considerations in AI development, privacy, and security concerns. You will also explore the future of AI, career opportunities, how to learn AI, and resources and tools available for learning. From Zero to AI is the ultimate beginner's guide that provides you with the key concepts to understand AI and its future impact on society and the economy.

Artificial Intelligence 101: From Zero to AI

Artificial Intelligence 101: From Zero to AI PDF Author: Estefano Smith
Publisher: Estefano Smith
ISBN:
Category : Computers
Languages : en
Pages : 24

Get Book Here

Book Description
Are you curious about the world of artificial intelligence but don't know where to start? From Zero to AI is the perfect beginner's guide that covers the basics of AI. In this book, you will explore the definition and history of AI, basic principles, and the difference between AI and human intelligence. You will also delve into machine learning, natural language processing, robotics, ethics, and social implications of AI. Discover the different types of machine learning algorithms, such as supervised and unsupervised learning, and neural networks and deep learning. Understand how natural language processing works and its applications in everyday life. Explore the introduction to robotics, the types of robots, and their applications in various industries. In addition, you will learn about the ethical considerations in AI development, privacy, and security concerns. You will also explore the future of AI, career opportunities, how to learn AI, and resources and tools available for learning. From Zero to AI is the ultimate beginner's guide that provides you with the key concepts to understand AI and its future impact on society and the economy.

AI 101

AI 101 PDF Author: Annie Joy
Publisher: Independently Published
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
This beginner's guide to AI provides a comprehensive overview of Artificial Intelligence, covering its definition, history, real-world applications, and ethical considerations. It explains the difference between Narrow AI and General AI and explores key AI techniques such as Machine Learning, Deep Learning, and Reinforcement Learning. The book emphasizes the importance of data in AI development and discusses algorithms, models, training, and evaluation processes. It explains different types of learning, including Supervised, Unsupervised, and Semi-Supervised Learning, and covers topics such as Feature Engineering, evaluation metrics, and common deep learning architectures like Neural Networks, CNNs, and RNNs. Furthermore, the book examines AI's impact on industries such as Healthcare, Transportation, Education, and Business, highlighting both the opportunities and challenges. It addresses ethical considerations such as bias, privacy, transparency, accountability, and governance. The book provides recommendations for further learning, including books, blogs, websites, online courses, and tutorials. It also suggests AI development tools and frameworks and mentions AI communities and forums for engagement and collaboration. Overall, this beginner's guide offers a foundation for understanding AI, equipping readers with the knowledge to explore the field further and approach AI development and deployment with ethical considerations in mind.

Artificial Intelligence For Dummies

Artificial Intelligence For Dummies PDF Author: John Paul Mueller
Publisher: John Wiley & Sons
ISBN: 1119467586
Category : Computers
Languages : en
Pages : 60

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Book Description
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!

The AI Advantage

The AI Advantage PDF Author: Thomas H. Davenport
Publisher: MIT Press
ISBN: 0262538008
Category : Business & Economics
Languages : en
Pages : 243

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Book Description
Cutting through the hype, a practical guide to using artificial intelligence for business benefits and competitive advantage. In The AI Advantage, Thomas Davenport offers a guide to using artificial intelligence in business. He describes what technologies are available and how companies can use them for business benefits and competitive advantage. He cuts through the hype of the AI craze—remember when it seemed plausible that IBM's Watson could cure cancer?—to explain how businesses can put artificial intelligence to work now, in the real world. His key recommendation: don't go for the “moonshot” (curing cancer, or synthesizing all investment knowledge); look for the “low-hanging fruit” to make your company more efficient. Davenport explains that the business value AI offers is solid rather than sexy or splashy. AI will improve products and processes and make decisions better informed—important but largely invisible tasks. AI technologies won't replace human workers but augment their capabilities, with smart machines to work alongside smart people. AI can automate structured and repetitive work; provide extensive analysis of data through machine learning (“analytics on steroids”), and engage with customers and employees via chatbots and intelligent agents. Companies should experiment with these technologies and develop their own expertise. Davenport describes the major AI technologies and explains how they are being used, reports on the AI work done by large commercial enterprises like Amazon and Google, and outlines strategies and steps to becoming a cognitive corporation. This book provides an invaluable guide to the real-world future of business AI. A book in the Management on the Cutting Edge series, published in cooperation with MIT Sloan Management Review.

AI 101 An Introduction to Artificial Intelligence

AI 101 An Introduction to Artificial Intelligence PDF Author: Rudra Tiwari
Publisher: Rudra Tiwari
ISBN:
Category : Computers
Languages : en
Pages : 157

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Book Description
"An Introduction to Artificial Intelligence" is a comprehensive guide to understanding the fundamental concepts and applications of AI. This book covers the basics of AI, including its history, current state and future developments. It also explores the various subfields of AI, such as machine learning, natural language processing, and computer vision. The book is designed to be accessible to readers with little or no prior knowledge of AI, making it an ideal resource for students, professionals, and anyone interested in learning more about this rapidly-evolving field. It aims to provide a solid foundation of knowledge that can be applied to a wide range of industries, from healthcare and finance to manufacturing and transportation.

Artificial Intelligence

Artificial Intelligence PDF Author: David Brown
Publisher:
ISBN: 9781801206068
Category : Computers
Languages : en
Pages : 496

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Book Description
SPECIAL DEAL: 3 books in 1: Machine Learning, Artificial Intelligence for Business and Computer Networking! It's no doubt that machine learning, artificial intelligence, and deep learning have created a lot of buzz in the tech world. However, unlike many other buzz words that we forget about quickly, technological advancements have made AI, ML, and deep learning a part of our daily lives. Furthermore, AI is here to stay, which is why if you are looking to learn about it, you need to make the most out of your learning. What better way to do this than with a 3 in 1 book bundle that takes you from zero to a future proof AI genius? This bundle contains the following books: ✓ Machine learning for Beginners - This book explains machine learning concepts in very simple terms for beginners. It will take you not only through ML, but also AI and deep learning concepts. ✓ Artificial intelligence for business - If you would like to know how you can use AI in your business, what the benefits of that would be and what the future of AI is in business, then you should read this book. You will also learn how modern companies in all industries are using AI and ML; and how you can craft your own AI strategy for your company. ✓ Computer Networking for Beginners - This final book will give you insights into the power of computer networking and show you how this power is harnessed in machine learning. At the end of it all, you will have a solid knowledge of what networking is and how you can do it successfully. This 3 in 1 book bundle will give you the best value on your money.

Artificial Intelligence with Python

Artificial Intelligence with Python PDF Author: Prateek Joshi
Publisher: Packt Publishing Ltd
ISBN: 1786469677
Category : Computers
Languages : en
Pages : 437

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Book Description
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.

Artificial Intelligence 101: Everything You Need to Know about Deep Learning and Neural Networks

Artificial Intelligence 101: Everything You Need to Know about Deep Learning and Neural Networks PDF Author: Craig L. Russell
Publisher: Independently Published
ISBN: 9781723789748
Category : Computers
Languages : en
Pages : 436

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Book Description
Did you know that artificial intelligence is changing our world faster than we can imagine? It will impact every area of our lives. And this is happening whether we like it or not. Artificial intelligence will help us do almost everything better, faster and cheaper, and it will profoundly change industries such as transportation, tourism, healthcare, education, retail, agriculture, finance, sales and marketing. In fact, AI will dramatically change our entire society. You might have heard that many jobs will be replaced by automation and robots, but did you also know that at the same time a huge number of new jobs will be created by AI? This book covers many fascinating and timely topics related to artificial intelligence. Who is this book for? Managers and business professionals Marketers and influencers Entrepreneurs and startups Consultants and coaches Educators and teachers Students and life-long learners And everyone else who is interested in our future. Are you ready to discover how artificial intelligence will impact your life? This guidebook offers a multitude of tools, techniques and strategies that every business and individual can quickly apply and benefit from.

Mastering Artificial Intelligence for Beginner's 101

Mastering Artificial Intelligence for Beginner's 101 PDF Author: Azai Hung
Publisher: Independently Published
ISBN:
Category : Computers
Languages : en
Pages : 0

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Book Description
Mastering Artificial Intelligence Discover the secrets of AI and transform your career with this comprehensive step-by-step guide. Learn the fundamentals of Machine Learning, Deep Learning, and Neural Networks from scratch. Perfect for beginners, this tutorial takes you by the hand and walks you through the basics of AI, from understanding the concepts to building your own intelligent systems. With this tutorial, you'll learn: - The basics of Artificial Intelligence and its applications - How to build intelligent systems using Machine Learning and Deep Learning - The fundamentals of Neural Networks and how to implement them - How to get started with AI and start building your own projects Don't miss out on this opportunity to unlock the power of AI and transform your career. Start learning today and become an AI expert in no time!

The Deep Learning Revolution

The Deep Learning Revolution PDF Author: Terrence J. Sejnowski
Publisher: MIT Press
ISBN: 026203803X
Category : Computers
Languages : en
Pages : 354

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Book Description
How deep learning—from Google Translate to driverless cars to personal cognitive assistants—is changing our lives and transforming every sector of the economy. The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy. Sejnowski played an important role in the founding of deep learning, as one of a small group of researchers in the 1980s who challenged the prevailing logic-and-symbol based version of AI. The new version of AI Sejnowski and others developed, which became deep learning, is fueled instead by data. Deep networks learn from data in the same way that babies experience the world, starting with fresh eyes and gradually acquiring the skills needed to navigate novel environments. Learning algorithms extract information from raw data; information can be used to create knowledge; knowledge underlies understanding; understanding leads to wisdom. Someday a driverless car will know the road better than you do and drive with more skill; a deep learning network will diagnose your illness; a personal cognitive assistant will augment your puny human brain. It took nature many millions of years to evolve human intelligence; AI is on a trajectory measured in decades. Sejnowski prepares us for a deep learning future.