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Applied Reinforcement Learning with Python

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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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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Applied Reinforcement Learning with Python

Beginning-Intermediate;...

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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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Reinforcement Learning for Finance

Is ForData Scientists, Machine Learning engineers and Python programmers who want to apply reinforcement learning to solve problems.;

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Python Reinforcement Learning

Apply modern reinforcement learning and deep reinforcement learning methods using Python and its powerful libraries Key Features Your entry;

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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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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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Machine Learning for Finance

reinforcement learning in Python, scikit-learn, Keras, and TensorFlow Dig deep into neural networks, examine uses of GANs and reinforcement learning;

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Hands-On Reinforcement Learning for Games

Explore reinforcement learning (RL) techniques to build cutting-edge games using Python libraries such as PyTorch, OpenAI Gym, and;

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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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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

Deep reinforcement learning is a fast-growing discipline that is making a significant impact in fields of autonomous vehicles, robotics;

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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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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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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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Python Deep Learning

Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries Key Features Build a strong;

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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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The The Reinforcement Learning Workshop

learning enthusiast, or a Python developer who wants to learn basic to advanced deep reinforcement learning algorithms, this workshop is for you. A;

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Reinforcement Learning Algorithms with Python

Develop self-learning algorithms and agents using TensorFlow and other Python tools, frameworks, and libraries Key Features Learn, develop;

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Introduction to Deep Learning

-language processing, and reinforcement learning. The author, a longtime artificial intelligence researcher specializing in natural-language;

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Artificial Intelligence with Python Cookbook

Work through practical recipes to learn how to solve complex machine learning and deep learning problems using Python Key Features;

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Foundations of Deep Reinforcement Learning

The Contemporary Introduction to Deep Reinforcement Learning that Combines Theory and Practice Deep reinforcement learning (deep RL;

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Machine Learning and Data Science Blueprints for Finance From Building Trading Strategies to RoboAdvisors Using Python

over 20 case studies in supervised, unsupervised, and reinforcement learning, along with natural language processing (NLP). Ideal for;

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Python Feature Engineering Cookbook

, and log transform across machine learning, reinforcement learning, and natural language processing (NLP) domains. By the end of this book;

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