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Analysis on Prediction of Swine Flu Using Machine Learning Algorithms

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Data Science Algorithms in a Week

data science algorithms using this guide Book DescriptionMachine learning applications are highly automated and self-modifying, and continue to;

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Machine Learning Approaches for Urban Computing

This book discusses various machine learning applications and models, developed using heterogeneous data, which helps in a comprehensive;

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Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning

Disease Prediction Through Data Analytics and Machine Learning is a pivotal reference source that explores the application of algorithms to making;

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R Deep Learning Essentials

Build automatic classification and prediction models using unsupervised learning About This Book * Harness the ability to build;

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Machine Learning for Networking

This book constitutes the thoroughly refereed proceedings of the Second International Conference on Machine Learning for Networking, MLN;

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Data Science Algorithms in a Week

appropriate prediction solution using Regression and Time-series * See how to cluster data using the k-Means algorithm * Get to know how to;

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Ensemble Machine Learning Cookbook

Implement machine learning algorithms to build ensemble models using Keras, H2O, Scikit-Learn, Pandas and more Key Features Apply popular;

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Hands-On Data Science for Biologists Using Python

Hands-on Data Science for Biologists using Python has been conceptualized to address the massive data handling needs of modern-day;

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Hands-On Data Science for Biologists Using Python

Hands-on Data Science for Biologists using Python has been conceptualized to address the massive data handling needs of modern-day;

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Evolutionary Machine Learning Techniques

This book provides an in-depth analysis of the current evolutionary machine learning techniques. Discussing the most highly regarded;

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Evolutionary Machine Learning Techniques

This book provides an in-depth analysis of the current evolutionary machine learning techniques. Discussing the most highly regarded;

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Algorithms in Machine Learning Paradigms

applications, including prediction, concept learning, explanation-based learning, case-based (exemplar-based) learning, statistical rule-based learning;

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Algorithms in Machine Learning Paradigms

applications, including prediction, concept learning, explanation-based learning, case-based (exemplar-based) learning, statistical rule-based learning;

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Intelligent Computing Theories and Application

Discovery; Applications of Machine Learning Techniques to Computational Proteomics, Genomics, and Biological Sequence Analysis; Biomedical Image;

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The Medical-Chemical Answer for Swine Flu & Avian-Flu

The Medical-Chemical Answer for Swine Flu & Avian-Flu is een boek van F J Sawaya;

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Hands-On Ensemble Learning with R

popular R packages. You will learn how to combine model predictions using different machine learning algorithms to build ensemble models;

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Machine Learning for Networking: First International Conference, Mln 2018, Paris, France, November 27-29, 2018, Revised Selected Papers

This book constitutes the thoroughly refereed proceedings of the First International Conference on Machine Learning for Networking, MLN;

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Intelligent Learning Systems

learning machine in fault classification of power transformer, prediction of solar irradiation using quantum support vector machine learning;

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Swine Flu - What Parents Need to Know

Conflicting information in the UK about the swine flu epidemic has left many parents anxious and confused. In this clear and concise book;

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Algorithmic Learning in a Random World

This book is about conformal prediction, an approach to prediction that originated in machine learning in the late 1990s. The main feature;

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Training Systems Using Python Statistical Modeling

-world examples on training end-to-end machine learning systems in Python Book DescriptionPython's ease of use and multi-purpose nature has led;

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Hybrid Machine Intelligence for Medical Image Analysis

The book discusses the impact of machine learning and computational intelligent algorithms on medical image data processing, and introduces;

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Document Processing Using Machine Learning

image analysis (DIA) domain using machine learning since it covers multiple document processing problems. Starting with an explanation of how;

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Machine Learning Fundamentals

supervised learning algorithms. You'll learn to implement different supervised algorithms and develop neural network structures using the scikit;

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Prediction, Learning, and Games

of individual sequences does not impose any probabilistic assumption on the data-generating mechanism. Yet, prediction algorithms can be constructed;

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F# for Machine Learning

Accord.NET, Weka, and F# * Run machine learning jobs on the Cloud with MBrace * Perform mathematical operations on matrices and vectors using;

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