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Author: Richard R. Skemp
Publisher: Chichester [Eng.] ; New York : Wiley
ISBN:
Category : Education
Languages : en
Pages : 346
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Book Description
Author: Richard R. Skemp
Publisher: Chichester [Eng.] ; New York : Wiley
ISBN:
Category : Education
Languages : en
Pages : 346
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Book Description
Author: Satnam Alag
Publisher: Simon and Schuster
ISBN: 163835538X
Category : Computers
Languages : en
Pages : 609
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Book Description
There's a great deal of wisdom in a crowd, but how do you listen to a thousand people talking at once? Identifying the wants, needs, and knowledge of internet users can be like listening to a mob. In the Web 2.0 era, leveraging the collective power of user contributions, interactions, and feedback is the key to market dominance. A new category of powerful programming techniques lets you discover the patterns, inter-relationships, and individual profiles-the collective intelligence--locked in the data people leave behind as they surf websites, post blogs, and interact with other users. Collective Intelligence in Action is a hands-on guidebook for implementing collective intelligence concepts using Java. It is the first Java-based book to emphasize the underlying algorithms and technical implementation of vital data gathering and mining techniques like analyzing trends, discovering relationships, and making predictions. It provides a pragmatic approach to personalization by combining content-based analysis with collaborative approaches. This book is for Java developers implementing Collective Intelligence in real, high-use applications. Following a running example in which you harvest and use information from blogs, you learn to develop software that you can embed in your own applications. The code examples are immediately reusable and give the Java developer a working collective intelligence toolkit. Along the way, you work with, a number of APIs and open-source toolkits including text analysis and search using Lucene, web-crawling using Nutch, and applying machine learning algorithms using WEKA and the Java Data Mining (JDM) standard. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.
Author: Peter Harrington
Publisher: Simon and Schuster
ISBN: 1638352453
Category : Computers
Languages : en
Pages : 558
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Book Description
Summary Machine Learning in Action is unique book that blends the foundational theories of machine learning with the practical realities of building tools for everyday data analysis. You'll use the flexible Python programming language to build programs that implement algorithms for data classification, forecasting, recommendations, and higher-level features like summarization and simplification. About the Book A machine is said to learn when its performance improves with experience. Learning requires algorithms and programs that capture data and ferret out the interestingor useful patterns. Once the specialized domain of analysts and mathematicians, machine learning is becoming a skill needed by many. Machine Learning in Action is a clearly written tutorial for developers. It avoids academic language and takes you straight to the techniques you'll use in your day-to-day work. Many (Python) examples present the core algorithms of statistical data processing, data analysis, and data visualization in code you can reuse. You'll understand the concepts and how they fit in with tactical tasks like classification, forecasting, recommendations, and higher-level features like summarization and simplification. Readers need no prior experience with machine learning or statistical processing. Familiarity with Python is helpful. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. What's Inside A no-nonsense introduction Examples showing common ML tasks Everyday data analysis Implementing classic algorithms like Apriori and Adaboos Table of Contents PART 1 CLASSIFICATION Machine learning basics Classifying with k-Nearest Neighbors Splitting datasets one feature at a time: decision trees Classifying with probability theory: naïve Bayes Logistic regression Support vector machines Improving classification with the AdaBoost meta algorithm PART 2 FORECASTING NUMERIC VALUES WITH REGRESSION Predicting numeric values: regression Tree-based regression PART 3 UNSUPERVISED LEARNING Grouping unlabeled items using k-means clustering Association analysis with the Apriori algorithm Efficiently finding frequent itemsets with FP-growth PART 4 ADDITIONAL TOOLS Using principal component analysis to simplify data Simplifying data with the singular value decomposition Big data and MapReduce
Author: Richard R. Skemp
Publisher: Chichester [Eng.] ; New York : Wiley
ISBN:
Category : Education
Languages : en
Pages : 346
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Book Description
Author: Marcia Hughes
Publisher: John Wiley & Sons
ISBN: 1118046811
Category : Business & Economics
Languages : en
Pages : 417
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Book Description
Emotional Intelligence in Action shows how to tap the power of EI through forty-six exercises that can be used to build effective emotional skills and create real change. The workouts are designed to align with the four leading emotional intelligence measures—EQ-I or EQ-360, ECI 360, MSCEIT, and EQ Map, —or can be used independently or as part of a wider leadership and management development program. All of the book's forty-six exercises offer experiential learning scenarios that have been proven to enhance emotional intelligence competencies.
Author: David B. Drake
Publisher: CNC Press
ISBN: 9780996356305
Category :
Languages : en
Pages :
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Book Description
This is the definitive book by the founder of the field of narrative coaching. It includes the core theoretical foundations, key principles and central practices that make up this unique body of work. Narrative coaching is recognized internationally as a distinct approach and is included in most major coaching anthologies. The author has written over 40 publications on narratives and coaching and is recognized as a thought leader in this profession.
Author: Travis Bradberry
Publisher: TalentSmart
ISBN: 0974320625
Category : Business & Economics
Languages : en
Pages : 282
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Book Description
"Includes a new & enhanced online edition of the world's most popular emotional intelligence test."
Author: Michael Thielscher
Publisher: Morgan & Claypool Publishers
ISBN: 1598295446
Category : Computers
Languages : en
Pages : 101
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Book Description
Artificial systems that think and behave intelligently are one of the most exciting and challenging goals of Artificial Intelligence. Action Programming is the art and science of devising high-level control strategies for autonomous systems which employ a mental model of their environment and which reason about their actions as a means to achieve their goals. Applications of this programming paradigm include autonomous software agents, mobile robots with high-level reasoning capabilities, and General Game Playing. These lecture notes give an in-depth introduction to the current state-of-the-art in action programming. The main topics are knowledge representation for actions, procedural action programming, planning, agent logic programs, and reactive, behavior-based agents. The only prerequisite for understanding the material in these lecture notes is some general programming experience and basic knowledge of classical first-order logic.
Author: Ortrun Zuber-Skerritt
Publisher: Emerald Publishing Limited
ISBN: 9781787695405
Category : Education
Languages : en
Pages : 0
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Book Description
Action Learning and Action Research deepens understanding and contributes to new knowledge about the theory, practice and processes of Action Learning (AL) and Action Research. It clarifies what constitutes AL/AR in its many forms and what it is not.
Author: Sarah Miller Beebe
Publisher: CQ Press
ISBN: 1483340147
Category : Political Science
Languages : en
Pages : 340
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Book Description
In their Second Edition of Cases in Intelligence Analysis: Structured Analytic Techniques in Action, accomplished instructors and intelligence practitioners Sarah Miller Beebe and Randolph H. Pherson offer robust, class-tested cases studies of events in foreign intelligence, counterintelligence, terrorism, homeland security, law enforcement, and decision-making support. Designed to give analysts-in-training an opportunity to apply structured analytic techniques and tackle real-life problems, each turnkey case delivers a captivating narrative, discussion questions, recommended readings, and a series of engaging analytic exercises.
