Machine Learning For Absolute Beginners
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Machine Learning For Absolute Beginners
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Author : Oliver Theobald
language : en
Publisher: Independently Published
Release Date : 2018
Machine Learning For Absolute Beginners written by Oliver Theobald and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Computer algorithms categories.
"The manner in which computers are now able to mimic human thinking to process information is rapidly exceeding human capabilities in everything from chess to picking the winner of a song contest. In the modern age of machine learning, computers do not strictly need to receive an 'input command' to perform a task, but rather 'input data'. From the input of data they are able to form their own decisions and take actions virtually as a human world. But given it is a machine, it can consider many more scenarios and execute far more complicated calculations to solve complex problems. This is the element that excites data scientists and machine learning engineers the most. The ability to solve complex problems never before attempted. This book will dive in to introduce machine learning, and is ideal for beginners starting out in machine learning."--page 4 of cover.
Machine Learning For Dummies
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Author : John Paul Mueller
language : en
Publisher: John Wiley & Sons
Release Date : 2021-02-09
Machine Learning 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 2021-02-09 with Computers categories.
One of Mark Cuban’s top reads for better understanding A.I. (inc.com, 2021) Your comprehensive entry-level guide to machine learning While machine learning expertise doesn’t quite mean you can create your own Turing Test-proof android—as in the movie Ex Machina—it is a form of artificial intelligence and one of the most exciting technological means of identifying opportunities and solving problems fast and on a large scale. Anyone who masters the principles of machine learning is mastering a big part of our tech future and opening up incredible new directions in careers that include fraud detection, optimizing search results, serving real-time ads, credit-scoring, building accurate and sophisticated pricing models—and way, way more. Unlike most machine learning books, the fully updated 2nd Edition of Machine Learning For Dummies doesn't assume you have years of experience using programming languages such as Python (R source is also included in a downloadable form with comments and explanations), but lets you in on the ground floor, covering the entry-level materials that will get you up and running building models you need to perform practical tasks. It takes a look at the underlying—and fascinating—math principles that power machine learning but also shows that you don't need to be a math whiz to build fun new tools and apply them to your work and study. Understand the history of AI and machine learning Work with Python 3.8 and TensorFlow 2.x (and R as a download) Build and test your own models Use the latest datasets, rather than the worn out data found in other books Apply machine learning to real problems Whether you want to learn for college or to enhance your business or career performance, this friendly beginner's guide is your best introduction to machine learning, allowing you to become quickly confident using this amazing and fast-developing technology that's impacting lives for the better all over the world.
Machine Learning For Beginners
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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.
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!
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
Machine Learning Make Your Own Recommender System
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Author : Oliver Theobald
language : en
Publisher: Machine Learning for Beginners
Release Date : 2018-10-06
Machine Learning Make Your Own Recommender System written by Oliver Theobald and has been published by Machine Learning for Beginners this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-06 with Computers categories.
Learn How to Make Your Own Recommender System in an Afternoon.Recommender systems are one of the most visible applications of machine learning and data mining today and their uncanny ability to convert our unspoken actions into items we desire is both addicting and concerning. And whether recommender systems excite or scare you, the best way to manage their influence and impact is to understand the architecture and algorithms that play on your personal data. Recommender systems are here to stay and for anyone beginning their journey in data science, this is a lucrative space for future employment.This book will get you up and running with the basics as well as the steps to coding your own recommender system. Exercises include predicting book recommendations, relevant house properties for online marketing purposes, and whether a user will click on an ad campaign. The contents of this book is designed for beginners with some background knowledge of data science, including classical statistics and computing programming. If this is your first exposure to data science, you may want to spend a few hours to read my first book Machine Learning for Absolute Beginners before you get started here.Topics covered in this book: Setting Up A Sandbox Environment With Jupyter NotebookWorking With DataData ReductionBuilding a Collaborative Filtering ModelBuilding a Content-Based Filtering ModelEvaluationPrivacy & EthicsFuture of Recommender SystemsPlease feel welcome to join this introductory course by buying a copy or sending a free sample to your preferred device.
Machine Learning
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Author : Steven Samelson
language : en
Publisher:
Release Date : 2019-05-05
Machine Learning written by Steven Samelson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-05 with categories.
★★Buy the Paperback Version of this Book and get the Kindle Book version for FREE ★★ Machine Learning: The Complete Beginner's Guide to learn and Understand Machine Learning, gives you insights into what machine learning entails and how it can impact the way you can weaponize data to gain incredible insights. Your information is pretty much as good as what you are doing with it and the way you manage it. In this book, you find out types of machine learning techniques, models, and algorithms that can help achieve results for your company. This data helps each business and technical leaders find out how to use machine learning to anticipate and predict the future. The book is divided into seven parts. The first part aims to give a rigorous initial answer to the fundamental questions of learning. We talk about what machine learning means, types of machine learning when we need machine learning, and so on. The second part of the book has been devoted to the applications of machine learning, financial learning in data mining, robotics, and so on. The third, fourth, and fifth part of the book discuss the impacts of machine learning, significant patterns, and the use of machine learning to solve business problems. The sixth and final part of the book is devoted to the challenges of machine learning, intelligent artificial intelligence, the future of machine learning, and so on. We tried to keep the book as independent as possible. So, this book is an option! ENJOY THE READING!!!THANK YOU!!! Scroll Up and Click the Buy Now Button!
Machine Learning For Absolute Beginners
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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!
Machine Learning For Absolute Beginners
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Author : Dr. M. Dhinakaran ,Prof. P. Deepthi, Dr. S. Shyni Carmel Mary ,Mr. Arpit Namdev
language : en
Publisher: Booksclinic Publishing
Release Date : 2023-06-19
Machine Learning For Absolute Beginners written by Dr. M. Dhinakaran ,Prof. P. Deepthi, Dr. S. Shyni Carmel Mary ,Mr. Arpit Namdev and has been published by Booksclinic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-19 with Education categories.
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Machine Learning For Absolute Beginners A Step By Step Guide Algorithms For Supervised And Unsupervised Learning With Real World Applications
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Author : Raymond Kazuya
language : en
Publisher: Raymond Kazuya
Release Date : 2017-12-17
Machine Learning For Absolute Beginners A Step By Step Guide Algorithms For Supervised And Unsupervised Learning With Real World Applications written by Raymond Kazuya and has been published by Raymond Kazuya this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-17 with Comics & Graphic Novels categories.
" Machines can LEARN ?!?! Machine learning occurs primarily through the use of " algorithms" and other elaborate procedures. Whether you're a novice, intermediate or expert this book will teach you all the ins, outs and everything you need to know about machine learning. Instead of spending hundreds or even thousands of dollars on courses/materials why not read this book instead? Its a worthwhile read and the most valuable investment you can make for yourself. What You'll Learn - Supervised Learning -Unsupervised Learning -Reinforced Learning - Algorithms -Decision Tree -Random Forest -Neural Networks -Python -Deep Learning -And much, much more! ☆★☆ Grab your copy now! ☆★☆ "