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Genetic Algorithms and Machine Learning for Programmers

Self-driving cars, natural language recognition, and online recommendation engines are all possible thanks to Machine Learning. Now you can;

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Mathematics and Programming for Machine Learning with R

Based on the author's experience in teaching data science for more than 10 years, Mathematics and Programming for Machine Learning with R;

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Mathematics and Programming for Machine Learning with R

Based on the author's experience in teaching data science for more than 10 years, Mathematics and Programming for Machine Learning with R;

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Hands-On Genetic Algorithms with Python

Explore the ever-growing world of genetic algorithms to solve search, optimization, and AI-related tasks, and improve machine learning;

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Genetic Algorithms in Elixir

exotic new language or framework to get started; you can learn about genetic algorithms in a language you're already familiar with. Join us for;

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Genetic Algorithms with Python

Get a hands-on introduction to machine learning with genetic algorithms using Python. Step-by-step tutorials build your skills from Hello;

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Genetic Algorithms, Fuzzy Systems & Website Classification

discussed include genetic algorithm for optimal design of fuzzy classifiers; design and analysis of type-2 fuzzy PI controller; selection of supply;

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Genetic Algorithms for Pattern Recognition

method based on the way chromosomes in DNA recombine - these problems are more efficiently and more accurately solved. Genetic Algorithms for;

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Genetic Algorithms for Pattern Recognition

method based on the way chromosomes in DNA recombine - these problems are more efficiently and more accurately solved. Genetic Algorithms for;

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Intro To Genetic Algorithms

Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational;

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An Introduction To Genetic Algorithms

Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational;

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Machine Learning Foundations

the fundamental materials, background, and simple machine learning algorithms, as the preparation for studying machine learning algorithms;

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Building Machine Learning Systems With Python

This is a tutorial-driven and practical, but well-grounded book showcasing good Machine Learning practices. There will be an emphasis on;

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

By applying data analytics techniques and machine learning algorithms to predict disease, medical practitioners can more accurately;

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Genetic Algorithms with Python

for you, using easy-to-follow example projects that you can fall back upon when learning to use other machine learning tools and techniques;

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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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Big Data in Omics and Imaging, Two Volume Set

FEATURES Bridges the gap between the traditional statistical methods and computational tools for small genetic and epigenetic data;

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Python Machine Learning Cookbook

perform machine learning for each one of these using various techniques Who This Book Is For This book is for Python programmers who are;

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Big Data in Omics and Imaging: Association Analysis

Big Data in Omics and Imaging: Association Analysis addresses the recent development of association analysis and machine learning for both;

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Big Data in Omics and Imaging: Association Analysis

Big Data in Omics and Imaging: Association Analysis addresses the recent development of association analysis and machine learning for both;

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Ensemble Machine Learning Cookbook

models using individual recipes. What you will learn Understand how to use machine learning algorithms for regression and classification problems;

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Machine Learning and Big Data

of this book is to provide awareness of algorithms used for machine learning and big data in the academic and professional community. The 17;

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Machine Learning with scikit-learn Quick Start Guide

DescriptionScikit-learn is a robust machine learning library for the Python programming language. It provides a set of supervised and unsupervised learning;

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Thoughtful Machine Learning

solutions Be aware of the risks of machine learning, such as underfitting and overfitting data Explore techniques for improving your machine;

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Applied Recommender Systems with Python

learning for building recommender systems Who This Book Is ForData scientists, machine learning engineers, and Python;

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Applied Recommender Systems with Python

recommender systems that incorporate both content-based and collaborative filtering Leverage machine learning, NLP, and deep learning for building;

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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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