Machine Understanding
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Machine Understanding
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Author : Zbigniew Les
language : en
Publisher: Springer
Release Date : 2019-08-01
Machine Understanding written by Zbigniew Les and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-01 with Technology & Engineering categories.
This unique book discusses machine understanding (MU). This new branch of classic machine perception research focuses on perception that leads to understanding and is based on the categories of sensory objects. In this approach the visual and non-visual knowledge, in the form of visual and non-visual concepts, is used in the complex reasoning process that leads to understanding. The book presents selected new concepts, such as perceptual transformations, within the machine understanding framework, and uses perceptual transformations to solve perceptual problems (visual intelligence tests) during understanding, where understanding is regarded as an ability to solve complex visual problems described in the authors’ previous books. Thanks to the uniqueness of the research topics covered, the book appeals to researchers from a wide range of disciplines, especially computer science, cognitive science and philosophy.
Understanding Machine Learning
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Author : Shai Shalev-Shwartz
language : en
Publisher: Cambridge University Press
Release Date : 2014-05-19
Understanding Machine Learning written by Shai Shalev-Shwartz 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 2014-05-19 with Computers categories.
Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.
Machine Understanding
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Author : Dennis De Champeaux
language : en
Publisher:
Release Date : 1975
Machine Understanding written by Dennis De Champeaux and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1975 with categories.
The Brain In The Machine
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Author : Avery Wright
language : en
Publisher: Independently Published
Release Date : 2023-03-19
The Brain In The Machine written by Avery Wright and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-19 with categories.
"The Brain in the Machine: Understanding the Inner Workings of Artificial Intelligence" provides a comprehensive and accessible introduction to the field of artificial intelligence. From the history of AI to the latest advances in deep learning, natural language processing, and computer vision, this book covers a wide range of topics to help readers understand the inner workings of AI. With a focus on the practical applications of AI, this book is an ideal resource for students, researchers, and practitioners in the field.
Machine Understanding Ii
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Author : Dennis de Champeaux
language : en
Publisher:
Release Date : 1978
Machine Understanding Ii written by Dennis de Champeaux and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1978 with categories.
Interpretable Machine Learning
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Author : Christoph Molnar
language : en
Publisher: Lulu.com
Release Date : 2020
Interpretable Machine Learning written by Christoph Molnar and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Artificial intelligence categories.
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.
Machine Learning For Beginners
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Author : Ethem Mining
language : en
Publisher:
Release Date : 2019-12-03
Machine Learning For Beginners written by Ethem Mining and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-03 with categories.
Are you fascinated about machine learning and AI and you don't know where to start? Have you ever heard people talking about Machine Learning but you only have a vague idea of the actual meaning? Do you want to understand how machine learning could simplify your daily life? Imagine a world where computing systems understand people and the world around us them to a point where they can notice patterns, collect data, interpret it and give recommendations to solve real world problems with high level of precision. It sounds like science fiction but it is happening in healthcare, agriculture, cyber security, facial recognition, targeting and retargeting customers in online advertising, recommending specific products, stories, videos, text etc., self-driving cars, real time pricing, predicting human behavior and much more. Now imagine you being one of the people behind the code; the people who get these advanced systems to work the way they do. Would it be a dream come true for you? By virtue that you are reading this, it is clear that you have some special liking for this advanced tech and would want to learn how you can be one of the people behind the code. Even if not, you probably want to be able to understand the inner workings of these systems. The concept may sound extremely out there and advanced but it won't be if you follow this guide, which takes an easy to follow, beginner friendly language to help you to understand the ins and outs of machine learning! Here is a summary of what this book will teach you: The basics of machine learning, including what it is, how machine learning has evolved over the years, the application of machine learning in today's world and the future of machine learning How machine learning is beneficial in today's world The different approaches to machine learning, including unsupervised, supervised, reinforcement learning method, semi-supervised machine learning and many others The concept of big data analysis, including what is big data, why big data is important, the application of big data in today's world as well as the different data analysis tools that you can use The link between big data and machine learning The different machine learning algorithms, including what machine-learning algorithms are and how and when the different learning algorithms are used The concept of artificial neural networks, including how they work, when to use neural networks and more How decision trees are used in machine learning, including what decision trees are (in respect to machine learning), how they work, how the decision tree is read, the different nodes in decision trees and when to use them The ins and outs of linear and logistic regression in machine learning, including what linear regression is, different types of regression, how linear regression works, how linear regression is used and much more And much more! Even if this is your first encounter with the concept of machine learning, this book will uncover everything you need to know to master machine learning and possibly get started in this field of advanced computing knowing very well what you are venturing into. And the good thing is that the book takes a beginner friendly approach to help you to apply what you learn right away! Would You Like To Know More? Click Buy Now With 1-Click or Buy Now to get started!
Machine Learning
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Author : Peter Bradley
language : en
Publisher: Machine Learning
Release Date : 2018-09-13
Machine Learning written by Peter Bradley and has been published by Machine Learning this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-13 with Science categories.
Do you want to know more about Machine Learning and what it means for the future?Could Machine Learning help your business to perform better?Machine Learning is not a new idea. It stems back as far as the 1950s and involves computers 'learning' from basic algorithms without the need for them to be specifically programmed to do so. If that sounds a bit like science-fiction, it isn't.Machine Learning is real and is gathering pace and in Machine Learning: A Comprehensive, Step-by-Step Guide to Learning and Understanding Machine Learning Concepts, Technology and Principles for Beginners, you can grasp what this means with chapters on: * What Machine Learning is * Basic facts about Machine Learning * Types of Machine Learning * Real life applications of Machine Learning * Artificial Intelligence * And much more...The way that technology is moving, combined with the pace of change, means that Machine Learning that is both complex and innovative will be with us very soon.That will have implications for us all, whether it is with employment, in our leisure time or in other aspects of our lives. This book serves to give you some idea of what Machine Learning will bring in the future.Get a copy today and see what's coming tomorrow!
Machine Learning
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Author : Anthony Aline
language : en
Publisher:
Release Date : 2019-03-29
Machine Learning written by Anthony Aline and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-29 with categories.
★★Buy the Paperback Version of this Book and get the Kindle Book version for FREE ★★ Artificial Intelligence, and in particular, Machine Learning is here today and it is shaping our world. It is shaping and simplifying the way we live, work, travel and communicate. Hence it is important for you to understand what it is and how it works. This guide has been designed to help you gain an understanding of machine learning, artificial intelligence and big data in a simple way. We will walk you step-by-step into the world of Machine Learning. You will have the opportunity to develop new skills and improve your understanding of this challenging yet lucrative sub-field of machine learning. The content presented in this eBook has been prepared for the total beginner and it doesn't matter who you are or whatever job you are currently doing. This e-book will also be of great benefit to you if you are a business owner. No matter who you are or what you are doing currently, Machine learning can be understood by anyone. This E-book is recommended for you so long you have an interest in machine learning. This introductory guide on machine learning is fun and exciting, but at the same time we dive deep into Machine Learning in a structured way. This guide us easy to read and after reading the whole guide you should have in-depth understanding of the following: Gain an in-depth understanding of Machine Learning, Data Science, Neural Networks, Artificial Intelligence and Neural networks Have a great understanding of many Machine Learning models Know about how accurate prediction are made using machine learning Know the myth various machine learning myths Have a great understanding of how giant companies like Amazon and Netflix, Facebook and twitter are using machine learning Understand the applications of machine learning Scroll Up and Click the Buy Now Button!
Shape Understanding System
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Author : Zbigniew Les
language : en
Publisher: Springer
Release Date : 2015-02-06
Shape Understanding System written by Zbigniew Les and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-06 with Technology & Engineering categories.
This is the third book presenting selected results of research on the further development of the shape understanding system (SUS) carried out by authors in the newly founded Queen Jadwiga Research Institute of Understanding. In this book the new term Machine Understanding is introduced referring to a new area of research aiming to investigate the possibility of building machines with the ability to understand. It is presented that SUS needs to some extent mimic human understanding and for this reason machines are evaluated according to the rules applied for the evaluation of human understanding. The book shows how to formulate problems and how it can be tested if the machine is able to solve these problems.