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Feature Projection in Machine Learning

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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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First-order and Stochastic Optimization Methods for Machine Learning

algorithms, nonconvex optimization, distributed and online learning, and projection free methods. This book will benefit the broad audience in the;

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First-order and Stochastic Optimization Methods for Machine Learning

algorithms, nonconvex optimization, distributed and online learning, and projection free methods. This book will benefit the broad audience in the;

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Grammar Based Feature Generation for Time Series Prediction

This book proposes a novel approach for time-series prediction using machine learning techniques with automatic feature generation;

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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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Algorithms in Machine Learning Paradigms

This book presents studies involving algorithms in the machine learning paradigms. It discusses a variety of learning problems with diverse;

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Algorithms in Machine Learning Paradigms

This book presents studies involving algorithms in the machine learning paradigms. It discusses a variety of learning problems with diverse;

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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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Machine Learning for Oracle Database Professionals

Database developers and administrators will use this book to learn how to deploy machine learning models in Oracle Database and in Oracle's;

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Machine Learning Theoretical Foundations and Practical Applications

in conjunction with 16th edition of ICDCIT. The book covers topics, like machine learning and its applications, statistical learning, neural network;

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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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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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Condition Monitoring with Vibration Signals

presents new methods including machine learning and compressive sampling, which help to improve safety, reliability, and performance.A;

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Machine Learning with PySpark

Build machine learning models, natural language processing applications, and recommender systems with PySpark to solve various business;

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Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint

This book discusses various applications of machine learning using a new approach, the dynamic wavelet fingerprint technique, to identify;

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Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint

This book discusses various applications of machine learning using a new approach, the dynamic wavelet fingerprint technique, to identify;

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Python

Leverage benefits of machine learning techniques using Python About This Book * Improve and optimise machine learning systems using;

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Practical Machine Learning with Python

Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world;

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Predictive Analytics with Microsoft Azure Machine Learning 2nd Edition

Predictive Analytics with Microsoft Azure Machine Learning, Second Edition is a practical tutorial introduction to the field of data;

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Machine Learning for Protein Subcellular Localization Prediction

strategies for virus, plant, and eukaryote species. Three machine learning tools are introduced to improve classification refinement, feature;

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Machine Learning with the Elastic Stack

Discover expert techniques for combining machine learning with the analytic capabilities of Elastic Stack and uncover actionable insights;

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Identification of Handwritten Characters using Machine Learning

learning techniques. The performance of these techniques is compared based on some parameters for recognition of similar shaped handwritten Hindi;

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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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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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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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