Machine Understanding
DOWNLOAD
Download Machine Understanding PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Machine Understanding 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
Understanding Machine Learning
DOWNLOAD
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
DOWNLOAD
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 Understanding
DOWNLOAD
Author : Ken Clements
language : en
Publisher: Universal-Publishers
Release Date : 2024-10-15
Understanding Machine Understanding written by Ken Clements and has been published by Universal-Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-15 with Computers categories.
This is a comprehensive and thought-provoking exploration of the nature of machine understanding, its evaluation, and its implications. The book proposes a new framework, the Multifaceted Understanding Test Tool (MUTT), for assessing machine understanding across multiple dimensions, from language comprehension and logical reasoning to social intelligence and metacognition. Through a combination of philosophical analysis, technical exposition, and narrative thought experiments, the book delves into the frontiers of machine understanding, raising fundamental questions about the cognitive mechanisms and representations that enable genuine understanding in both human and machine minds. By probing the boundaries of artificial comprehension, the book aims to advance our theoretical grasp on the elusive notion of understanding and inform responsible development and deployment of AI technologies. In an era where Artificial Intelligence systems are becoming integral to our daily lives, a pressing question arises: Do these machines truly understand what they are doing, or are they merely sophisticated pattern matchers? "Understanding Machine Understanding" delves into this profound inquiry, exploring the depths of machine cognition and the essence of comprehension. Join Ken Clements and Claude 3 Opus on an intellectual journey that challenges conventional benchmarks like the Turing Test and introduces the innovative Multifaceted Understanding Test Tool (MUTT). This groundbreaking framework assesses AI's capabilities across language, reasoning, perception, and social intelligence, aiming to distinguish genuine understanding from mere imitation. Through philosophical analysis, technical exposition, and engaging narratives, this book invites readers to explore the frontiers of AI comprehension. Whether you're an AI researcher, philosopher, or curious observer, "Understanding Machine Understanding" offers a thought-provoking guide to the future of human-machine collaboration. Discover what it truly means for a machine to understand--and the implications for our shared future.
Interpretable Machine Learning
DOWNLOAD
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 Computers 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.
Shape Understanding System Knowledge Implementation And Learning
DOWNLOAD
Author : Zbigniew Les
language : en
Publisher: Springer
Release Date : 2012-07-27
Shape Understanding System Knowledge Implementation And Learning 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 2012-07-27 with Computers categories.
This book presents the selected results of research on the further development of the shape understanding system (SUS) described in our previous book titled “Shape Understanding System: the First Steps Toward the Visual Thinking Machines”. This is the second book that presents the results of research in the area of thinking and understanding carried out by authors in the newly founded the Queen Jadwiga Research Institute of Understanding. In this book, the new term knowledge implementation is introduced to denote the new method of the meaningful learning in the context of machine understanding. SUS ability to understand is related to the different categories of objects such as the category of visual objects, the category of sensory objects and the category of text objects. In this book, new terms and concepts are introduced in order to describe and explain some issues connected with SUS development. These terms are explained by referring to the content of our books and other our works rather than to existing literature in related areas of research. This book raises many questions that are discussed in the area of cognitive science or philosophy of mind.
Shape Understanding System
DOWNLOAD
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.
Understanding The Human Machine
DOWNLOAD
Author : Max E. Valentinuzzi
language : en
Publisher: World Scientific
Release Date : 2004
Understanding The Human Machine written by Max E. Valentinuzzi and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Science categories.
- For undergraduate biomedical engineering students - Favors formation rather than mere information based on suggested exercises, study subjects and questions - Contains brief historical shots supplying background material and spicy insights - Makes enjoyable reading with its light style and humor
Moral Machines
DOWNLOAD
Author : Wendell Wallach
language : en
Publisher: Oxford University Press
Release Date : 2010-07-15
Moral Machines written by Wendell Wallach and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-07-15 with Computers categories.
"Moral Machines is a fine introduction to the emerging field of robot ethics. There is much here that will interest ethicists, philosophers, cognitive scientists, and roboticists." ---Peter Danielson, Notre Dame Philosophical Reviews --
Hands On Machine Learning With R
DOWNLOAD
Author : Brad Boehmke
language : en
Publisher: CRC Press
Release Date : 2019-11-07
Hands On Machine Learning With R written by Brad Boehmke and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-07 with Business & Economics categories.
Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today’s most popular machine learning methods. This book serves as a practitioner’s guide to the machine learning process and is meant to help the reader learn to apply the machine learning stack within R, which includes using various R packages such as glmnet, h2o, ranger, xgboost, keras, and others to effectively model and gain insight from their data. The book favors a hands-on approach, providing an intuitive understanding of machine learning concepts through concrete examples and just a little bit of theory. Throughout this book, the reader will be exposed to the entire machine learning process including feature engineering, resampling, hyperparameter tuning, model evaluation, and interpretation. The reader will be exposed to powerful algorithms such as regularized regression, random forests, gradient boosting machines, deep learning, generalized low rank models, and more! By favoring a hands-on approach and using real word data, the reader will gain an intuitive understanding of the architectures and engines that drive these algorithms and packages, understand when and how to tune the various hyperparameters, and be able to interpret model results. By the end of this book, the reader should have a firm grasp of R’s machine learning stack and be able to implement a systematic approach for producing high quality modeling results. Features: · Offers a practical and applied introduction to the most popular machine learning methods. · Topics covered include feature engineering, resampling, deep learning and more. · Uses a hands-on approach and real world data.
Comprehensive Machine Learning Techniques A Guide For The Experienced Analyst
DOWNLOAD
Author : Adam Jones
language : en
Publisher: Walzone Press
Release Date : 2024-11-27
Comprehensive Machine Learning Techniques A Guide For The Experienced Analyst written by Adam Jones and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-27 with Computers categories.
"Comprehensive Machine Learning Techniques: A Guide for the Experienced Analyst" is an in-depth resource crafted to elevate seasoned machine learning analysts to the cutting-edge of their profession. This definitive guide comprehensively explores advanced machine learning methodologies, offering a wide-ranging collection of chapters that cover essential foundations, innovative neural network designs, optimization tactics, and pivotal applications in areas like natural language processing, computer vision, and time series analysis. Each chapter thoughtfully dissects complex topics—from the core principles of deep learning and generative models to the intricacies of reinforcement learning and the crucial role of ethics and interpretability in AI—providing the insights necessary to address contemporary machine learning challenges. Ideal for practitioners, researchers, and graduate students with a solid foundation in machine learning, this book is an indispensable resource for those aiming to deepen their expertise in advanced techniques and methodologies. Through comprehensive explorations of each topic, it equips readers with the skills to create sophisticated models, apply state-of-the-art algorithms, and drive innovation in their work and research. "Comprehensive Machine Learning Techniques" is more than a mere textbook; it is a transformative tool for advancing mastery in machine learning. Whether you seek to refine your skills, delve into new areas, or contribute to the advancement of AI technologies, this guide provides the depth of knowledge and practical insights necessary to excel in the dynamic field of machine learning.