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Hands-On Intelligent Agents with OpenAI Gym

autonomous driving using the CARLA driving simulator Key Features Explore the OpenAI Gym toolkit and interface to use over 700 learning tasks;

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Practical Natural Language Processing with Python

domain, and the common NLP problems encountered. Here you cover the bag-of-words model supervised learning technique as you try to solve the case;

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Cambridge Aerospace Series

solve as well as accelerate their learning on new problems. This book's special strengths include: * A thoroughly modern approach to learning;

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Machine Learning in the AWS Cloud

Put the power of AWS Cloud machine learning services to work in your business and commercial applications! Machine Learning in the AWS;

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Guided Explorations of the Mechanics of Solids and Structures

solve as well as accelerate their learning on new problems. This book's special strengths include: * A thoroughly modern approach to learning;

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Learning to Solve Complex Scientific Problems

and the educational capacity to prepare them. Learning to Solve Complex Scientific Problems is an immensely useful read offering the insights;

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Learning to Solve Complex Scientific Problems

and the educational capacity to prepare them. Learning to Solve Complex Scientific Problems is an immensely useful read offering the insights;

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Alternating Direction Method of Multipliers for Machine Learning

Machine learning heavily relies on optimization algorithms to solve its learning models. Constrained problems constitute a major type;

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Benchmark Series

critical thinking and decision-making skills. Case study assessments at chapter and unit levels test students' abilities to solve problems;

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Adaptive Machine Learning Algorithms with Python

matrix functions to solve machine learning and data analysis problems to more critical edge computation problems. They handle time-varying, non;

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Solve Problems Together

software development. Learning is his biggest passion. He is always looking for new books to read, courses to take, and opportunities to help other;

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PyTorch 1.x Reinforcement Learning Cookbook

Implement reinforcement learning techniques and algorithms with the help of real-world examples and recipes Key Features Use PyTorch 1.x to;

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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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Learning to Solve Problems

Focus - The book is not merely a review of research. It also provides specific research-based advice on how to design problem-solving learning;

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Learning to Solve Problems

Focus - The book is not merely a review of research. It also provides specific research-based advice on how to design problem-solving learning;

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Six-minute Solutions For Civil PE Exam Geotechnical Problems

geotechnical problems in just minutes. Learning important strategies to solve these problems quickly and efficiently is the key to passing the civil PE;

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Elems Chem React Engg Pie

, including the following Learning Resources: *Summary Notes: Chapter-specific interactive material to address the different learning styles in the;

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R Machine Learning By Example

Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems;

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Multivariable Calculus with Mathematica

solve problems, but learning the syntax to write their own code to solve problems Suitable as a main textbook for a Calculus III course;

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Multivariable Calculus with Mathematica

solve problems, but learning the syntax to write their own code to solve problems Suitable as a main textbook for a Calculus III course;

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Science and Enlightenment

other living things as a part of it; and learning how to become civilized. The author proposes that with the creation of modern science in the;

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Cognitive Computing Recipes

deep learning and machine learning accessible to everyday developers, by providing a combination of tools such as cognitive services APIs;

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Hybrid Metaheuristics

The main goal of this book is to provide a state of the art of hybrid metaheuristics. The book provides a complete background that enables;

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The Humongous Book of Statistics Problem

, full of solved problems, and writes notes in the margins, adding missing steps and simplifying concepts and solutions. By learning how to;

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Applied Analytics through Case Studies Using SAS and R

Examine business problems and use a practical analytical approach to solve them by implementing predictive models and machine learning;

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Engineers Solve Problems

Most people try to avoid problems-but not engineers! They go out and look for problems! In this fun, new title readers will learn about the;

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Reinforcement Learning for Finance

. It covers recent reinforcement learning algorithms from double deep-Q networks to twin-delayed deep deterministic policy gradients and;

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