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sound starting point for those intending to apply evolutionary algorithms to optimization problems in their working fields. Python has been;
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models using Python libraries such as DEAP, scikit-learn, and NumPy Key Features Explore the ins and outs of genetic algorithms with this fast;
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Delve into the world of reinforcement learning algorithms and apply them to different use-cases via Python. This book covers important;
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Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications delivers a;
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Search * Neural networks and genetic algorithms * Written for data engineers and scientists with experience using Python;
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This book will teach you how to build recommender systems with machine learning algorithms using Python. Recommender systems have become an;
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This book will teach you how to build recommender systems with machine learning algorithms using Python. Recommender systems have become an;
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Explore the mathematical computations and algorithms for image processing using popular Python tools and frameworks. Key Features Practical;
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Learn to implement complex data structures and algorithms using Python Key Features Understand the analysis and design of fundamental;
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Increase the performance of various neural network architectures using NEAT, HyperNEAT, ES-HyperNEAT, Novelty Search, SAFE, and deep;
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This book describes how evolutionary algorithms (EA), including genetic algorithms (GA) and particle swarm optimization (PSO) can be;
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Supervised Learning with Python is for you if you want to gain a solid understanding of machine learning using Python. It'll help if you to have some;
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This book is a clear and lucid presentation of Evolutionary Algorithms, with a straightforward, bottom-up approach that provides the reader;
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Applied Univariate, Bivariate, and Multivariate Statistics Using Python A practical, how-to reference for anyone performing essential;
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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 has been conceptualized to address the massive data handling needs of modern-day;
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Regression, and Clustering Who This Book Is For If you wish to learn how to implement Predictive Analytics algorithms using Python libraries;
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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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techniques for text analysis Book DescriptionModern text analysis is now very accessible using Python and open source tools, so discover how you can;
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using Swarm and Evolutionary algorithms. Focuses on applying Swarm Intelligence and Evolutionary Algorithms for Heart Disease detection;
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Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins;
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Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins;
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of power system operation yields valuable economic information and insight into power flow. Optimal Power Flow Using Evolutionary Algorithms;
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of power system operation yields valuable economic information and insight into power flow. Optimal Power Flow Using Evolutionary Algorithms;
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problems. Chapter 4 gives an overview of patch antenna design using evolutionary algorithms. Chapter 5 presents design cases from different;
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, neural networks, and binary oscillator computing. Dynamical Systems with Applications Using Python takes advantage of Python's extensive;
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Understand the theory and implementation of simulation. This book covers simulation topics from a scenario-driven approach using Python and;
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