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Feature Learning and Understanding: Algorithms and Applications

This book covers the essential concepts and strategies within traditional and cutting-edge feature learning methods thru both theoretical;

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Feature Learning and Understanding

This book covers the essential concepts and strategies within traditional and cutting-edge feature learning methods thru both theoretical;

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Python Feature Engineering Cookbook

Extract accurate information from data to train and improve machine learning models using NumPy, SciPy, pandas, and scikit-learn libraries;

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Robust Representation for Data Analytics

This book introduces the concepts and models of robust representation learning, and provides a set of solutions to deal with real-world;

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Learning in Doing

Dreier's work on the therapeutic relationship, to Hugh Mehan's work on learning by disabled students, to Charles and Janet Keller's work on;

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Feature Engineering for Machine Learning and Data Analytics

Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little;

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Feature Engineering for Machine Learning and Data Analytics

Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little;

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Hands-On Automated Machine Learning

Automate data and model pipelines for faster machine learning applications Key Features Build automated modules for different machine;

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Grammar Based Feature Generation for Time Series Prediction

problems compounded by the non-linear and non-stationary nature of the real world time-series. The performance of machine learning techniques;

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Hands-On Machine Learning with R

Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today's most popular;

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Hybrid Methods in Feature Selection

enormity may cause serious problems to many machine learning algorithms with respect to scalability and learning performance. Therefore, feature;

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Artificial Intelligence with Python

the cloud, recurrent neural networks, deep learning models, and feature selection and engineering Learn more about deep learning algorithms;

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Solving Large Scale Learning Tasks. Challenges and Algorithms

theoreticians and practitioners on data preprocessing, modeling, learning, and evaluation. Topics include data-mining and machine-learning algorithms;

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E-Learning In The 21St Century

, unprecedented, and above all, disruptive. This timely and comprehensive book provides a coherent framework for understanding e-learning in higher;

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Innovative Learning for Leadership Development

Critically examine the intersections of learning and leadership. Using L. Dee Fink's taxonomy of signicant learning as a scaffold, experts;

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Computer Vision Metrics

-of-the-art survey for fundamental computer vision methods and deep learning. With over 800 essential references, as well as chapter-by-chapter;

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Data Analytics in Bioinformatics

Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel machine;

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Machine Learning based Natural Scene Recognition for Mobile Robot Localization i

recognition. The respective chapters highlight the latest developments in vision-based machine perception and machine learning research for;

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CBAC Astudiaethau Crefyddol UG Bwdhaeth

in-depth understanding of teaching, learning and assessment at A Level and AS. / A skills-based approach to learning, covering content of the;

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Feature Extraction and Image Processing for Computer Vision

including essential background theory, shape methods, texture and deep learning Up to date coverage of interest point detection, feature;

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Mastering Azure Machine Learning

Master expert techniques for building automated and highly scalable end-to-end machine learning models and pipelines in Azure using;

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Essentials of Pathophysiology, International Edition

'Understanding' feature and has an even more robust electronic support ancillary program to make both faculty and student learning easier and more;

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Understanding Biology

A concise and engaging biology text for biology majors, Understanding Biology partnered withConnect emphasizes;

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Level 3 Diploma Supporting teaching and learning in schools, Secondary, Candidate Handbook

bring learning to life. Assessment requirements and portfolio-building opportunities are given greater focus through tailored activities and;

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WJEC/Eduqas Religious Studies for A Level Year 1 & AS - Philosophy of Religion and Religion and Ethics

in-depth understanding of teaching, learning and assessment at A Level and AS. / A skills-based approach to learning, covering content of the;

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WJEC/Eduqas Religious Studies for A Level Year 1 & AS - Hinduism

in-depth understanding of teaching, learning and assessment at A Level and AS. / A skills-based approach to learning, covering content of the;

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WJEC/Eduqas Religious Studies for A Level Year 2 & A2 - Islam

in-depth understanding of teaching, learning and assessment at A Level and AS. / A skills-based approach to learning, covering content of the;

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