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Machine Learning Techniques for Space Weather

Machine Learning Techniques for Space Weather provides a thorough and accessible presentation of machine learning techniques that can;

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Applied Genetic Programming and Machine Learning

evolutionary system. It provides a methodology for integrating GP and machine learning techniques, establishing a robust evolutionary framework for;

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Applied Genetic Programming and Machine Learning

evolutionary system. It provides a methodology for integrating GP and machine learning techniques, establishing a robust evolutionary framework for;

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Machine Learning in Industry

learning. It points out the difference between the techniques and their suitability for specific applications. This book also describes different;

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Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques

Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques: A MATLAB Based Approach presents how machine;

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Auroral Dynamics and Space Weather

scientific inquiry for centuries. Recent advances in observing techniques and modeling and theoretical work have revealed new auroral phenomena;

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Machine Learning Applications

identified huge scope in applying machine learning techniques for gaining meaningful insights. Random growth of unstructured data poses new research;

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Machine Learning Foundations

techniques. The book consists of four parts: foundation, supervised learning, unsupervised learning, and advanced learning. The first part provides;

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Data Mining and Machine Learning in Cybersecurity

techniques for detecting new attacks Contains in-depth discussions of machine learning solutions to detection problems Categorizes methods for;

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Uncertainty Analysis in Rainfall-Runoff Modelling - Application of Machine Learning Techniques

demonstrates the capacity of machine learning techniques for building accurate and efficient predictive models of uncertainty.;

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Uncertainty Analysis in Rainfall-Runoff Modelling - Application of Machine Learning Techniques

demonstrates the capacity of machine learning techniques for building accurate and efficient predictive models of uncertainty.;

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Python

learning techniques on a map reduce framework in Hadoop and Spark in Python. This Learning Path will teach you Python machine learning for the real;

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Machine Learning for Speaker Recognition

learning techniques for speaker recognition and featuring a range of probabilistic models, learning algorithms, case studies, and new trends and;

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Machine Learning, Big Data, and IoT for Medical Informatics

Machine Learning, Big Data, and IoT for Medical Informatics focuses on the latest techniques adopted in the field of medical informatics;

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Machine Learning with Health Care Perspective

techniques for applying machine learning within organizations and explains how to evaluate the efficacy, suitability, and efficiency of such;

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Machine Learning with Health Care Perspective

techniques for applying machine learning within organizations and explains how to evaluate the efficacy, suitability, and efficiency of such;

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Practical Machine Learning with Python

finance. For each case study, you will learn the application of various machine learning techniques and methods. The hands-on examples will help;

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Applied Machine Learning for Smart Data Analysis

unsupervised and semi-supervised machine learning techniques with study of semantic analysis and thorough analysis of reviews. Divided into sections;

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Machine Learning in Medicine

Provides a comprehensive overview of machine learning and deep learning techniques for biomedical imaging Includes thoracic imaging;

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Python Machine Learning Cookbook

to supervised, unsupervised and reinforcement learning techniques Find easy-to-follow code solutions for tackling common and not-so-common;

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Machine Learning with Scala Quick Start Guide

covers tree-based ensemble techniques for solving both classification and regression problems. Moving ahead, it covers unsupervised learning;

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Modern Machine Learning Techniques and Their Applications in Cartoon Animation Research

The integration of machine learning techniques and cartoon animation research is fast becoming a hot topic. This book helps readers learn;

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TensorFlow 2.0 Quick Start Guide

of machine learning and neural network TensorFlow techniques. What you will learn Use tf.Keras for fast prototyping, building, and training deep;

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Designing Machine Learning Systems with Python

learning design process * Optimize machine learning systems for improved accuracy * Understand common programming tools and techniques for;

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Practical Machine Learning for Data Analysis Using Python

Practical Machine Learning for Data Analysis Using Python is a problem solver's guide for creating real-world intelligent systems. It;

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Condition Monitoring with Vibration Signals

frameworks based on compressive sampling, subspace learning techniques for machine condition monitoring, and much more. Covers the;

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Practical Machine Learning Cookbook

techniques for tackling complex data * Improve predictions and recommendations to have better levels of accuracy * Optimize performance of your;

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