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Applied Reinforcement Learning with Python

Learning with Python introduces you to the theory behind reinforcement learning (RL) algorithms and the code that will be used to implement them;

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Applied Reinforcement Learning with Python

Beginning-Intermediate;...

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Reinforcement Learning

looking at Open AI Gym. You'll then learn about Swarm Intelligence with Python in terms of reinforcement learning. The last part of the book;

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Hands-On Reinforcement Learning with Python

A hands-on guide enriched with examples to master deep reinforcement learning algorithms with Python Key Features Your entry point into the;

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Machine Learning for Finance

A guide to advances in machine learning for financial professionals, with working Python code Key Features Explore advances in machine;

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Reinforcement Learning for Finance

This book introduces reinforcement learning with mathematical theory and practical examples from quantitative finance using the TensorFlow;

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Building Machine Learning Systems with Python

reinforcement learning Who this book is forBuilding Machine Learning Systems with Python is for data scientists, machine learning developers, and;

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Python Reinforcement Learning Projects

Implement state-of-the-art deep reinforcement learning algorithms using Python and its powerful libraries Key Features Implement Q-learning;

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Python Reinforcement Learning

Learning Path includes content from the following Packt products: Hands-On Reinforcement Learning with Python by Sudharsan Ravichandiran Python;

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Zai:Deep Reinforcement Learning i_p

Python skills and a basic understanding of deep learning. About the technology Deep reinforcement learning is a form of machine;

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Python Machine Learning

Applied machine learning with a solid foundation in theory. Revised and expanded for TensorFlow 2, GANs, and reinforcement learning;

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Advanced Data Analytics Using Python

models using transfer learning. Advanced Analytics with Python, 2nd edition features a chapter on clustering with a neural network;

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Advanced Data Analytics Using Python

learning models using transfer learning. Advanced Analytics with Python, 2nd edition features a chapter on clustering with a neural network;

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Data-Driven Science and Engineering

. With a focus on integrating dynamical systems modeling and control with modern methods in applied machine learning, this text includes methods;

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Learn Unity ML-Agents - Fundamentals of Unity Machine Learning

can be trained with machine learning methods through a simple-to-use Python API. This book takes you from the basics of Reinforcement and Q;

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Deep Reinforcement Learning with Python

, healthcare, finance, and many more. This book covers deep reinforcement learning using deep-q learning and policy gradient models with coding;

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Python Machine Learning Cookbook

chapters, you will get to grips with recipes that teach you advanced techniques including reinforcement learning, deep neural networks, and;

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Hands-On Reinforcement Learning for Games

various reinforcement learning techniques and algorithms play an important role in game development with Python. Starting with the basics, this;

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Python Deep Learning

foundation in neural networks and deep learning with Python libraries Explore advanced deep learning techniques and their applications across;

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HandsOn Unsupervised Learning Using Python

artificial intelligence. Since the majority of the world's data is unlabeled, conventional supervised learning cannot be applied. Unsupervised;

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The The Reinforcement Learning Workshop

Start with the basics of reinforcement learning and explore deep learning concepts such as deep Q-learning, deep recurrent Q-networks, and;

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Mastering Machine Learning with Python in Six Steps

), and recommender systems Review reinforcement learning and CNN Who This Book Is For Python developers, data engineers, and machine;

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Mastering Machine Learning with Python in Six Steps

Review reinforcement learning and CNN Who This Book Is For Python developers, data engineers, and machine learning engineers looking to expand;

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Reinforcement Learning Algorithms with Python

for building self-learning agents Work with advanced Reinforcement Learning concepts and algorithms such as imitation learning and evolution;

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Hands-On Genetic Algorithms with Python

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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Statistical Reinforcement Learning

Reinforcement learning is a mathematical framework for developing computer agents that can learn an optimal behavior by relating generic;

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Statistical Reinforcement Learning

of reinforcement learning techniques. This book is an ideal resource for graduate-level students in computer science and applied statistics programs, as;

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