Ai Machine Learning Essentials For Absolute Beginners
DOWNLOAD
Download Ai Machine Learning Essentials For Absolute Beginners PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Ai Machine Learning Essentials For Absolute Beginners book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Deep Learning For Coders With Fastai And Pytorch
DOWNLOAD
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
Ai Machine Learning Essentials For Absolute Beginners
DOWNLOAD
Author : Dr Israel Carlos Lomovasky
language : en
Publisher: Independently Published
Release Date : 2025-05-09
Ai Machine Learning Essentials For Absolute Beginners written by Dr Israel Carlos Lomovasky and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-09 with Computers categories.
Unlock the Power of Artificial Intelligence - No Experience Needed! Are you curious about artificial intelligence but feel overwhelmed by complex jargon and intimidating math? AI & Machine Learning Essentials for Absolute Beginners is your ultimate guide to understanding and using AI in the real world-no coding or technical background required. Packed with relatable stories, real-world case studies, and step-by-step tutorials, this book takes you on an inspiring journey through the world of AI. From smart assistants and healthcare innovations to personalized shopping and ethical dilemmas, discover how AI works-and why it matters. No prior experience required Real-life examples from 2025 and beyond Step-by-step machine learning project you can build today Covers ethics, careers, tools, policy, and the future of AI Includes both code and no-code solutions Whether you're a student, educator, policymaker, or curious learner, this book makes AI engaging, practical, and empowering. Start your AI journey today. The future belongs to those who understand it. Introduction: The AI Revolution - How Machines Learn Inspiring stories of AI in daily life The need for AI literacy in today's world Chapter 1: The AI Revolution - How Machines Learn AI applications you already use Why AI is transforming society Chapter 2: What is Artificial Intelligence? Definitions and history AI vs. ML vs. DL Types of AI systems Chapter 3: Fundamentals of Machine Learning Supervised, unsupervised, reinforcement learning Data, features, training/testing Chapter 4: Data and Algorithms How data powers AI What algorithms really are Real-world applications and common challenges Chapter 5: Tools of the Trade Python, Jupyter, Colab, scikit-learn, TensorFlow No-code platforms like Lobe, Teachable Machine Setting up your environment Chapter 6: Project - Build Your First Classifier A step-by-step beginner project Classify images using code or no-code tools Chapter 7: Deep Learning Made Simple Neural networks explained Use cases and model training basics Tools like Keras and PyTorch Chapter 8: AI in the Real World - Case Studies Healthcare, finance, transport, retail, agriculture Mini-stories from 2020-2025 Chapter 9: Ethical AI and Society Bias, fairness, transparency Regulation, privacy, accountability Chapter 10: AI for Everyone - Education and Policy AI in schools and careers National strategies and civic participation Chapter 11: The Road Ahead in AI Generative AI, quantum computing, edge AI Future trends, ethical horizons, and lifelong learning Appendices and Further Resources Glossary of AI terms No-code and coding tools Recommended books, courses, and datasets Public domain image sources About the Author Let this book be your accessible companion into the world of artificial intelligence-clear, current, and made for you.
Mathematics For Machine Learning
DOWNLOAD
Author : Marc Peter Deisenroth
language : en
Publisher: Cambridge University Press
Release Date : 2020-04-23
Mathematics For Machine Learning written by Marc Peter Deisenroth and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-23 with Computers categories.
Distills key concepts from linear algebra, geometry, matrices, calculus, optimization, probability and statistics that are used in machine learning.
Artificial Intelligence
DOWNLOAD
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?
Deep Learning And The Game Of Go
DOWNLOAD
Author : Kevin Ferguson
language : en
Publisher: Simon and Schuster
Release Date : 2019-01-06
Deep Learning And The Game Of Go written by Kevin Ferguson and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-06 with Computers categories.
Summary Deep Learning and the Game of Go teaches you how to apply the power of deep learning to complex reasoning tasks by building a Go-playing AI. After exposing you to the foundations of machine and deep learning, you'll use Python to build a bot and then teach it the rules of the game. Foreword by Thore Graepel, DeepMind Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology The ancient strategy game of Go is an incredible case study for AI. In 2016, a deep learning-based system shocked the Go world by defeating a world champion. Shortly after that, the upgraded AlphaGo Zero crushed the original bot by using deep reinforcement learning to master the game. Now, you can learn those same deep learning techniques by building your own Go bot! About the Book Deep Learning and the Game of Go introduces deep learning by teaching you to build a Go-winning bot. As you progress, you'll apply increasingly complex training techniques and strategies using the Python deep learning library Keras. You'll enjoy watching your bot master the game of Go, and along the way, you'll discover how to apply your new deep learning skills to a wide range of other scenarios! What's inside Build and teach a self-improving game AI Enhance classical game AI systems with deep learning Implement neural networks for deep learning About the Reader All you need are basic Python skills and high school-level math. No deep learning experience required. About the Author Max Pumperla and Kevin Ferguson are experienced deep learning specialists skilled in distributed systems and data science. Together, Max and Kevin built the open source bot BetaGo. Table of Contents PART 1 - FOUNDATIONS Toward deep learning: a machine-learning introduction Go as a machine-learning problem Implementing your first Go bot PART 2 - MACHINE LEARNING AND GAME AI Playing games with tree search Getting started with neural networks Designing a neural network for Go data Learning from data: a deep-learning bot Deploying bots in the wild Learning by practice: reinforcement learning Reinforcement learning with policy gradients Reinforcement learning with value methods Reinforcement learning with actor-critic methods PART 3 - GREATER THAN THE SUM OF ITS PARTS AlphaGo: Bringing it all together AlphaGo Zero: Integrating tree search with reinforcement learning
Basics Of Artificial Intelligence Machine Learning
DOWNLOAD
Author : Dr Dheeraj Mehrotra
language : en
Publisher: Notion Press
Release Date : 2019-06-03
Basics Of Artificial Intelligence Machine Learning written by Dr Dheeraj Mehrotra and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-03 with Computers categories.
The concept of Artificial Intelligence (AI) & Machine Learning (ML) has been in practice for over years with the advent of technological progress. Over time, it has blended our lives through nearly every narration of learning, teaching, enjoyment, normal routine operations and what not. The aspect delivers a common understanding of the topics with reference to it making an impact on our lives, with a better framework of technology affecting our lives in particular. Let us look up to science for a change to be brought about in us. Let us create awareness of making technology available to people, in a broader sense. As that happens, people who are responsible need to be told about the use and misuse of the same. As we lead our lives, we come across the fact that AI, Robotics and Learning Machines seem to be the household topic of discussion. Earlier, AI was perceived to be reserved for only ‘Geniuses’ or ‘Researchers’ or the ‘computer’ community, but it very aptly integrates and impacts each and every aspect of our lives. Knowingly or unknowingly, it has become intellectually influential in shaping our thoughts, actions and the day-to-day chores.
Machine Learning For Beginners
DOWNLOAD
Author : Chris Sebastian
language : en
Publisher: Python, Machine Learning
Release Date : 2019
Machine Learning For Beginners written by Chris Sebastian and has been published by Python, Machine Learning this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Computers categories.
♦♦Bonus: Buy the Paperback version of this book, and get the kindle eBook version included for FREE** Machine Learning is changing the world. You use Machine Learning every day and probably don't know it. In this book, you will learn how ML grew from a desire to make computers able to learn. Trace the development of Machine Learning from the early days of a computer learning how to play checkers, to machines able to beat world masters in chess and go. Understand how large data is so important to Machine Learning, and how the collection of massive amounts of data provides Machine Learning programmers with the information they need to developing learning algorithms.Simple examples will help you understand the complex math and probability statistics underlining Machine Learning. You will also see real-world examples of Machine Learning in action and uncover how these algorithms are making your life better every day.Learn about how artificial intelligence, Machine Learning, Neural Networks, and Swarm Intelligence interact and complement each other as part of the quest to generate machines capable of thinking and reacting to the world. Read about the technical issues with Machine Learning and how they are being overcome. Discover the dark side of ML and what possible outcomes there could be should things go wrong. And finally, learn about the positive future artificial intelligence and Machine Learning promise to bring to the world. In this book, you will discover *The history of Machine Learning *Approaches taken to ML in the past and present *Artificial intelligence and its relationship to ML *How neural networks, big data, regression, and the cloud all play a part in the development of Machine Learning *Compare Machine Learning to the Internet of Things, Robotics, and Swarm Intelligence *Learn about the different models of ML and how each is used to produce learning algorithms *Get access to free software and data sets so you can try out your very own Machine Learning software *Examine some of the technical problems and philosophical dilemmas with ML *See what advanced Machine Learning will make to our world in the future So what are you waiting for???Scroll back up and order this book NOW.
Machine Learning For Absolute Beginners
DOWNLOAD
Author : Jonathan K. Hari
language : en
Publisher: epubli
Release Date : 2025-06-23
Machine Learning For Absolute Beginners written by Jonathan K. Hari and has been published by epubli this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-23 with Computers categories.
Machine Learning for Absolute Beginners In a world where artificial intelligence is shaping the future, understanding machine learning is no longer optional—it's essential. This book takes you on a journey through the fundamentals of AI and data science, breaking down complex concepts into simple, beginner-friendly language. Whether you're a tech enthusiast, an aspiring data scientist, or just curious about the power of AI, this step-by-step guide will help you grasp the essentials without needing any prior coding experience. Inside This Book, You'll Discover: The difference between AI, machine learning, and deep learning Types of machine learning: Supervised, unsupervised, and reinforcement learning Key concepts like data, features, labels, and models Understanding algorithms, from linear regression to neural networks How to prepare and clean data for machine learning An introduction to Python and popular ML libraries like Scikit-Learn, TensorFlow, and PyTorch Real-world applications and ethical considerations in AI This book is designed for absolute beginners, ensuring you build a strong foundation in machine learning without the need for complex mathematics or programming skills. If you've ever wanted to explore AI but didn't know where to start—this is your gateway into the exciting world of machine learning! Scroll Up and Grab Your Copy Today!
Ai Essentials Basics Courseware
DOWNLOAD
Author : Reinier van den Biggelaar
language : en
Publisher: Van Haren
Release Date : 2024-11-06
Ai Essentials Basics Courseware written by Reinier van den Biggelaar and has been published by Van Haren this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-06 with Architecture categories.
#html-body [data-pb-style=U317V0N]{justify-content:flex-start;display:flex;flex-direction:column;background-position:left top;background-size:cover;background-repeat:no-repeat;background-attachment:scroll}The AI Essentials courseware offers a comprehensive 1 day training program tailored for business and government professionals, focusing on the practical application and understanding of Artificial Intelligence (AI) in their respective work environments. This course is structured to provide a deeper insight into the fundamental concepts of human and Artificial Intelligence, emphasizing the role of Machine Learning (ML) as a pivotal contributor to AI's growth. Participants will explore the general definition of human and AI, delve into the concept of 'learning from experience,' and understand how this is integral to Machine Learning, based on Tom Mitchell's explicit definition. The course also illuminates how AI is an essential component of Universal Design and the Fourth Industrial Revolution. A significant focus is given to the challenges posed by AI, including a comparison of AI limitations against human systems and the ethical dilemmas AI presents. Participants will gain a comprehensive understanding of the risks associated with AI, typical funding sources for AI projects, and an enumeration of AI's potential applications. Crucially, the course will demonstrate how AI, particularly Machine Learning, is set to enhance collaboration between humans and machines. It will also provide a forecast of future directions in this symbiotic relationship, outlining the evolving landscape of human-machine collaboration. This courseware educates for: The EXIN BCS Artificial Intelligence Essentials, testing the fundamental concepts of AI. Follow up modules on this course are. The AI for Business and Government certification (the AI Brevet) which was established by the Netherlands AI Coalition (NL AIC) as a standard for professionals who want to use Artificial Intelligence. The EXIN BCS Artificial Intelligence Foundation, which has a more IT-technical perspective.
Ai Essentials Fundamentals Exam Preparation
DOWNLOAD
Author : Gitte Snoeren
language : en
Publisher: Van Haren
Release Date : 2024-09-16
Ai Essentials Fundamentals Exam Preparation written by Gitte Snoeren and has been published by Van Haren this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-16 with Architecture categories.
This exam preparation booklet is a comprehensive guide designed to help you earn your certification for the NL AIC AI Fundamentals (AI Brevet) and AI Basis. It can also be used for exams based on the EXIN BCS Artificial Intelligence Essentials and/or Foundation. For those focusing on the Artificial Intelligence Essentials, sections 1.1 and 2.1 are relevant, while all sections apply to the Artificial Intelligence Foundation. All the knowledge areas described in the preparation guide will be covered with exam-like questions. The number of questions per topic can differ, depending on the weights used in the formal exam requirements. The booklet is structured into two main sections: The first part features questions without answers, allowing you to test your knowledge and identify areas for improvement. The second part provides the correct answers along with concise explanations to enhance your understanding. This exam preparation booklet will help prepare you for various acknowledges AI certification exams and provides you with sertanty going in to the exam session.