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Applied Genetic Programming and Machine Learning

that could potentially be resolved with genetic programming and machine learning techniques. Written by leaders in this field, Applied Genetic;

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Applied Genetic Programming and Machine Learning

that could potentially be resolved with genetic programming and machine learning techniques. Written by leaders in this field, Applied Genetic;

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Genetic Programming for Image Classification

in computer vision and machine learning with a wide range of applications. Feature learning is a fundamental step in image classification, but it;

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Genetic Programming for Image Classification

in computer vision and machine learning with a wide range of applications. Feature learning is a fundamental step in image classification, but it;

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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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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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Hands-on Scikit-Learn for Machine Learning Applications

programming and very basic applied linear algebra will make learning easier, although anyone can benefit from this book.;

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Machine Learning and Artificial Intelligence in Marketing and Sales

, behind Artificial Intelligence (AI) and machine learning models, as applied to marketing and sales, without getting lost in the details;

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Machine Learning with scikit-learn Quick Start Guide

as classification, regression and clustering Understand how scikit-learn can be applied to different types of machine learning problems Book;

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Implementations and Applications of Machine Learning

This book provides step-by-step explanations of successful implementations and practical applications of machine learning. The book's;

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Implementations and Applications of Machine Learning

This book provides step-by-step explanations of successful implementations and practical applications of machine learning. The book's;

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Welding and Cutting Case Studies with Supervised Machine Learning

an introduction to machine learning for applied sciences, enabling them to address global competitiveness and work on real-time technical;

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Welding and Cutting Case Studies with Supervised Machine Learning

an introduction to machine learning for applied sciences, enabling them to address global competitiveness and work on real-time technical;

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Machine Learning for Finance

learning Book DescriptionMachine Learning for Finance explores new advances in machine learning and shows how they can be applied across the;

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Genetic Programming

variants of GP algorithms, as well as exploring GP applications to the optimisation of machine learning methods and the evolution of complex;

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Genetic Systems Programming

area. Genetic programming is a relatively new promising and growing research area. Among other uses, it provides efficient tools to deal with;

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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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Genetic Programming

, mosquito abundance prediction, machine learning and cryptographic function design.;

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Machine Learning Concepts with Python and the Jupyter Notebook Environment

Create, execute, modify, and share machine learning applications with Python and TensorFlow 2.0 in the Jupyter Notebook environment. This;

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Applied Soft Computing

, fusion-based learning, intelligent healthcare systems, bioinformatics, data mining, functional approximation, genetic and evolutionary algorithms;

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Python Machine Learning

Inside this book you will find all the basic notions to start with Python and all the programming concepts to build machine learning;

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Python for Probability, Statistics, and Machine Learning

, Sympy, Scikit-learn, Tensorflow, and Keras are applied to simulate and visualize important machine learning concepts like the bias/variance;

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Python for Probability Statistics and Machine Learning

, Sympy, Scikit-learn, Tensorflow, and Keras are applied to simulate and visualize important machine learning concepts like the bias/variance;

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Python Machine Learning

Python makes machine learning easy for beginners and experienced developers With computing power increasing exponentially and costs;

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Python 3 for Machine Learning

provide a fast-paced introduction to Python 3, NumPy, and Pandas. The fifth chapter introduces the fundamental concepts of machine learning. The;

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Industrial Applications of Machine Learning

Industrial Applications of Machine Learning shows how machine learning can be applied to address real-world problems in the fourth;

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