Learning By Example
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Python Machine Learning By Example
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Author : Yuxi (Hayden) Liu
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-05-31
Python Machine Learning By Example written by Yuxi (Hayden) Liu and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-31 with Computers categories.
Take tiny steps to enter the big world of data science through this interesting guide About This Book Learn the fundamentals of machine learning and build your own intelligent applications Master the art of building your own machine learning systems with this example-based practical guide Work with important classification and regression algorithms and other machine learning techniques Who This Book Is For This book is for anyone interested in entering the data science stream with machine learning. Basic familiarity with Python is assumed. What You Will Learn Exploit the power of Python to handle data extraction, manipulation, and exploration techniques Use Python to visualize data spread across multiple dimensions and extract useful features Dive deep into the world of analytics to predict situations correctly Implement machine learning classification and regression algorithms from scratch in Python Be amazed to see the algorithms in action Evaluate the performance of a machine learning model and optimize it Solve interesting real-world problems using machine learning and Python as the journey unfolds In Detail Data science and machine learning are some of the top buzzwords in the technical world today. A resurging interest in machine learning is due to the same factors that have made data mining and Bayesian analysis more popular than ever. This book is your entry point to machine learning. This book starts with an introduction to machine learning and the Python language and shows you how to complete the setup. Moving ahead, you will learn all the important concepts such as, exploratory data analysis, data preprocessing, feature extraction, data visualization and clustering, classification, regression and model performance evaluation. With the help of various projects included, you will find it intriguing to acquire the mechanics of several important machine learning algorithms – they are no more obscure as they thought. Also, you will be guided step by step to build your own models from scratch. Toward the end, you will gather a broad picture of the machine learning ecosystem and best practices of applying machine learning techniques. Through this book, you will learn to tackle data-driven problems and implement your solutions with the powerful yet simple language, Python. Interesting and easy-to-follow examples, to name some, news topic classification, spam email detection, online ad click-through prediction, stock prices forecast, will keep you glued till you reach your goal. Style and approach This book is an enticing journey that starts from the very basics and gradually picks up pace as the story unfolds. Each concept is first succinctly defined in the larger context of things, followed by a detailed explanation of their application. Every concept is explained with the help of a project that solves a real-world problem, and involves hands-on work—giving you a deep insight into the world of machine learning. With simple yet rich language—Python—you will understand and be able to implement the examples with ease.
The Transfer Of Learning
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Author : Sarah Leberman
language : en
Publisher: Gower Publishing, Ltd.
Release Date : 2006
The Transfer Of Learning written by Sarah Leberman and has been published by Gower Publishing, Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Business & Economics categories.
This book addresses a crucial issue for all involved in education and training: the transfer of learning to new and different contexts. Educators, employers and learners face the problem of ensuring that what is learnt in the classroom is able to be adapted and used in the workplace. The authors provide an accessible book on the transfer of learning which draws on multi-disciplinary perspectives from education, psychology and management. It combines theory and practice from international research and the authors' own case studies of transfer involving learners engaged in professional development and study towards qualifications. The book is unique in that it adopts a phenomenological perspective and underscores the significance of the participants' voices in understanding issues.
Artificial Intelligence Algorithms For Unsupervised Learning Clustering And Pattern Recognition With Neural Networks Examples With Matlab
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Author : CESAR PERZ LOPEZ
language : en
Publisher: SCIENTIFIC BOOKS
Release Date :
Artificial Intelligence Algorithms For Unsupervised Learning Clustering And Pattern Recognition With Neural Networks Examples With Matlab written by CESAR PERZ LOPEZ and has been published by SCIENTIFIC BOOKS this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Artificial Intelligence combines mathematical algorithms and techniques from Machine Learning, Deep Learning and Big Data to extract the knowledge contained in the data and present it in an understandable and automatic way. Neural networks and their applications are a fundamental tool to develop work in Artificial Intelligence. On the other hand, unsupervised learning is more closely aligned with Artificial Intelligence as it gives the idea that a machine can learn to identify complex processes and patterns without the need for a human to provide guidance and supervision throughout the learning process. Some examples of unsupervised learning algorithms include clustering and association rules. In the case of this type of learning, there is no pre-training data set; the problem is approached blindly and only with logical operations to guide it. Although at first glance it seems impossible, it is about the ability to solve complex problems using only input data and logical algorithms. This avoids the use of reference data. Unsupervised learning algorithms are used to discover hidden patterns in unlabeled data. Unlike supervised learning algorithms, where there is prior knowledge of the desired answers, these algorithms do not have a set of ordered data. They are responsible for determining the most important common characteristics of a group of information and then grouping them according to their similarities. Among the most interesting models are the neural networks. MATLAB implementrs the Deep Learning Toolbox specialized in the techniques of analytics based on neural networks. Throughout this book the techniques of analytics for clustering and classification based on neural networks are developed using MATLAB software
Ecai 2006
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Author : G. Brewka
language : en
Publisher: IOS Press
Release Date : 2006-08-10
Ecai 2006 written by G. Brewka and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-08-10 with Computers categories.
In the summer of 1956, John McCarthy organized the famous Dartmouth Conference which is now commonly viewed as the founding event for the field of Artificial Intelligence. During the last 50 years, AI has seen a tremendous development and is now a well-established scientific discipline all over the world. Also in Europe AI is in excellent shape, as witnessed by the large number of high quality papers in this publication. In comparison with ECAI 2004, there’s a strong increase in the relative number of submissions from Distributed AI / Agents and Cognitive Modelling. Knowledge Representation & Reasoning is traditionally strong in Europe and remains the biggest area of ECAI-06. One reason the figures for Case-Based Reasoning are rather low is that much of the high quality work in this area has found its way into prestigious applications and is thus represented under the heading of PAIS.
The Oxford Handbook Of The Learning Organization
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Author : Anders Örtenblad
language : en
Publisher: Oxford University Press
Release Date : 2019-12-12
The Oxford Handbook Of The Learning Organization written by Anders Örtenblad 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 2019-12-12 with Business & Economics categories.
The concept of the 'learning organization' is one of the most popular management ideas of the last few decades. Since it was conceived as an idea in its own right, it has been given various definitions and meanings, such that we are still faced with the question as to whether any unified understanding of what the learning organization really is can be established. This Handbook offers extensive reviews of both new and traditional perspectives on the concept and provides suggestions for how the learning organization can best be defined, practiced, studied, and developed in future research. With contributions from long-standing scholars in the field as well as those new to the area, this book aims to bridge the gap between traditional and more critical perspectives, and in doing so find alternative features and angles to take the idea forward. In addition to elaborating on and developing older definitions of the learning organization and suggesting updated and even new definitions, the chapters also provide focused explorations on pertinent aspects of the learning organization such as ambidexterity, gender inclusivity, and systems thinking. They also survey organizations that have made efforts towards becoming learning organizations, how the learning organization can best be measured and studied, and the universality of the idea itself. Some of the questions raised in this book are answered, or at least given tentative answers, while other questions are left open. In this way, the book has the ambition to take the learning organization an important step further, whilst having no intentions to take any final step; instead, the intention is that others will endeavour to continue where this book stops.
Museums As Sites Of Transformative Foreign Language Learning Beyond The Classroom
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Author : Fabiana Fazzi
language : en
Publisher: Springer Nature
Release Date : 2025-01-23
Museums As Sites Of Transformative Foreign Language Learning Beyond The Classroom written by Fabiana Fazzi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-23 with Education categories.
This book takes a look at the affordances of engaging second/foreign language students in educational projects that bridge the gap between the classroom and the museum. Studies on language learning and teaching beyond the classroom have shown that students learn in different settings and through different types of activities and that their learning is influenced by the intersection of different dimensions. Drawing on both language and museum learning and teaching research, this book discusses the aspects that make the museum an ideal language learning setting and then outlines evidence-based pedagogical guidelines to design effective learning experiences for language learners across the classroom and the museum. It will be of interest to graduate students, language teachers, teacher trainers, museum educators, and researchers in fields including Educational Linguistics, Anthropological Linguistics, and Museum Studies (Education).
The Wiley Handbook Of Cognition And Assessment
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Author : Andre A. Rupp
language : en
Publisher: John Wiley & Sons
Release Date : 2016-11-21
The Wiley Handbook Of Cognition And Assessment written by Andre A. Rupp 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 2016-11-21 with Education categories.
This state-of-the-art resource brings together the most innovative scholars and thinkers in the field of testing to capture the changing conceptual, methodological, and applied landscape of cognitively-grounded educational assessments. Offers a methodologically-rigorous review of cognitive and learning sciences models for testing purposes, as well as the latest statistical and technological know-how for designing, scoring, and interpreting results Written by an international team of contributors at the cutting-edge of cognitive psychology and educational measurement under the editorship of a research director at the Educational Testing Service and an esteemed professor of educational psychology at the University of Alberta as well as supported by an expert advisory board Covers conceptual frameworks, modern methodologies, and applied topics, in a style and at a level of technical detail that will appeal to a wide range of readers from both applied and scientific backgrounds Considers emerging topics in cognitively-grounded assessment, including applications of emerging socio-cognitive models, cognitive models for human and automated scoring, and various innovative virtual performance assessments
Evidence Based Interventions For Students With Learning And Behavioral Challenges
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Author : Richard J. Morris
language : en
Publisher: Routledge
Release Date : 2008-01-14
Evidence Based Interventions For Students With Learning And Behavioral Challenges written by Richard J. Morris and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-14 with Education categories.
This book assembles into one volume summaries of school-based intervention research that relates to those who deal on a regular basis with the growing body of students having high-incidence learning disabilities and/or behavior disorders: special educators, school psychologists, and clinical child psychologists. Chapter authors begin with an overview of their topic followed by a brief section on historical perspectives before moving on to the main section – a critical discussion of empirically based intervention procedures. In those instances where evidence-based prescriptions can legitimately be made, authors discuss best practices and the conditions (e.g., classroom environment, teacher expertise) under which these practices are most effective. A final section deals with policy issues.
Ready To Learn
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Author : Stanley Goldberg
language : en
Publisher: Oxford University Press
Release Date : 2005-02-01
Ready To Learn written by Stanley Goldberg 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 2005-02-01 with Education categories.
Do you tell your preschooler one thing and they do the opposite? Are they easily distracted or unable to focus? If you suspect that your child may have a learning problem--or if you simply want to help them be ready--here is the book to read before he or she enters the school system: a realistic, humorous, and kind-hearted guide to helping your little one learn. In Ready to Learn, Stan Goldberg draws on thirty years of clinical experience (and personal experience as the father of two kids with learning differences) to provide an easy-to-use guide to helping children overcome any problems and improve their learning skills. Illustrating his discussion with many anecdotes about teaching both his own children and children in his private practice, Goldberg walks readers through the process of learning and shows how to identify a learning problem. He focuses on four major areas--problems of attention, understanding, storage, and retrieval--presenting each problem through the eyes of the child, in everyday terms that a parent can understand. He looks at seven down-to-earth strategies that will allow you to create the best plan to help your child overcome their problem and he provides many handy charts and figures that will help you organize your efforts. The book also includes a list of useful web sites and a chart of development milestones, outlining motor skills, cognitive-sensory skills, and language and social skills. Written in a style that blends humor, insightful stories, and practical experience, Ready to Learn provides a flexible, time-tested approach, using step-by-step strategies that will help your preschoolers become confident and love learning--before they enter the classroom.
Health Systems Science Education Development And Implementation The Ama Meded Innovation Series 1st Edition E Book
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Author : Rosalyn Maben-Feaster
language : en
Publisher: Elsevier Health Sciences
Release Date : 2022-09-09
Health Systems Science Education Development And Implementation The Ama Meded Innovation Series 1st Edition E Book written by Rosalyn Maben-Feaster and has been published by Elsevier Health Sciences this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-09 with Medical categories.
Now taught in a majority of medical schools nationwide, health systems science (HSS) prepares learners for the health systems of the future—an essential topic in modern health care. Health Systems Science Education, part of the American Medical Association's MedEd Innovation Series, is a first-of-its-kind, instructor-focused field book that that equips educators to not just teach health systems science, but to know how to integrate and implement HSS comprehensively and effectively across the curriculum. This change management-oriented volume . . . - Provides practical approaches and addresses common challenges to successfully implementing health systems science. - Considers both clinical and classroom settings and discusses best practices, successful cases, and common frameworks implemented by early adopters of the third pillar of medical education. - Contains clear lists of competencies. - Covers both medical school (UME) and residency program (GME) implementation strategies. - Offers a framework for creating an environment of continuous improvement—from pre-implementation to sustainability. One of the American Medical Association's Change MedEd initiatives and innovations, written and edited by members of the Accelerating Change in Medical Education Consortium – a unique, innovative collaborative that allows for the sharing and dissemination of groundbreaking ideas and projects.