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New edition of the bestselling guide to deep reinforcement learning and how it’s used to solve complex real-world problems. Revised and expanded to include multi-agent methods, …
Explore various Generative Adversarial Network architectures using the Python ecosystemKey FeaturesUse different datasets to build advanced projects in the Generative Adversarial …
Build machine learning algorithms using graph data and efficiently exploit topological information within your modelsKey FeaturesImplement machine learning techniques and …
Understand the fundamentals of algorithmic trading to apply algorithms to real market data and analyze the results of real-world trading strategiesKey FeaturesUnderstand the power …
Explore and master the most important algorithms for solving complex machine learning problems. About This Book • Discover high-performing machine learning algorithms and …
Explore various recipes to build games using popular artificial intelligence techniques and algorithms such as Navmesh navigation A*, DFS, and UCB1Key FeaturesExplore different …
Understanding and coding advanced deep learning algorithms with the most intuitive deep learning library in existence Key Features Explore the most advanced deep learning …
Build robust and highly scalable web applications with Google App Engine About This Book • Get an in-depth look at how Google App Engine works under the hood • Design and model …
Learn to implement complex data structures and algorithms using PythonKey FeaturesUnderstand the analysis and design of fundamental Python data structuresExplore advanced Python …
Resolving and offering solutions to your machine learning problems with R About This Book • Implement a wide range of algorithms and techniques for tackling complex data • Improve …