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Language: English
Published by Packt Publishing - ebooks Accoun, 2020
ISBN 10: 1800200455 ISBN 13: 9781800200456
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paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Language: Bengali
Published by Notion Press Media Pvt Ltd, 2021
ISBN 10: 1684879973 ISBN 13: 9781684879977
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Published by Notion Press Media Pvt Ltd, 2021
ISBN 10: 1684879973 ISBN 13: 9781684879977
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Published by Notion Press Media Pvt Ltd, 2021
ISBN 10: 1684879973 ISBN 13: 9781684879977
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ISBN 10: 1684879973 ISBN 13: 9781684879977
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Published by Notion Press Media Pvt Ltd 11/2/2021, 2021
ISBN 10: 1684879973 ISBN 13: 9781684879977
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Condition: New. The Reinforcement Learning Workshop: Learn how to apply cutting-edge reinforcement learning algorithms to a wide range of control problems (Paperback or Softback).
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Language: Bengali
Published by Notion Press Media Pvt Ltd, 2021
ISBN 10: 1684879973 ISBN 13: 9781684879977
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Language: Bengali
Published by Notion Press Media Pvt Ltd 2021-11, 2021
ISBN 10: 1684879973 ISBN 13: 9781684879977
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ISBN 10: 1684879973 ISBN 13: 9781684879977
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Add to basketPaperback. Condition: Brand New. 132 pages. Bengali language. 5.00x0.31x8.00 inches. In Stock.
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Language: Bengali
Published by Notion Press Media Pvt Ltd, 2021
ISBN 10: 1684879973 ISBN 13: 9781684879977
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Language: English
Published by Packt Publishing 2020-08-18, 2020
ISBN 10: 1800200455 ISBN 13: 9781800200456
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Language: Bengali
Published by Notion Press Media Pvt Ltd, 2021
ISBN 10: 1684879973 ISBN 13: 9781684879977
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Language: English
Published by Packt Publishing Limited, GB, 2022
ISBN 10: 1800208936 ISBN 13: 9781800208933
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Add to basketPaperback. Condition: New. Learn the fundamentals of data science with Python by analyzing real datasets and solving problems using pandasKey FeaturesLearn how to apply data retrieval, transformation, visualization, and modeling techniques using pandasBecome highly efficient in unlocking deeper insights from your data, including databases, web data, and moreBuild your experience and confidence with hands-on exercises and activitiesBook DescriptionThe Pandas Workshop will teach you how to be more productive with data and generate real business insights to inform your decision-making. You will be guided through real-world data science problems and shown how to apply key techniques in the context of realistic examples and exercises. Engaging activities will then challenge you to apply your new skills in a way that prepares you for real data science projects.You'll see how experienced data scientists tackle a wide range of problems using data analysis with pandas. Unlike other Python books, which focus on theory and spend too long on dry, technical explanations, this workshop is designed to quickly get you to write clean code and build your understanding through hands-on practice. As you work through this Python pandas book, you'll tackle various real-world scenarios, such as using an air quality dataset to understand the pattern of nitrogen dioxide emissions in a city, as well as analyzing transportation data to improve bus transportation services.By the end of this data analytics book, you'll have the knowledge, skills, and confidence you need to solve your own challenging data science problems with pandas.What you will learnAccess and load data from different sources using pandasWork with a range of data types and structures to understand your dataPerform data transformation to prepare it for analysisUse Matplotlib for data visualization to create a variety of plotsCreate data models to find relationships and test hypothesesManipulate time-series data to perform date-time calculationsOptimize your code to ensure more efficient business data analysisWho this book is forThis data analysis book is for anyone with prior experience working with the Python programming language who wants to learn the fundamentals of data analysis with pandas. Previous knowledge of pandas is not necessary.
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Language: English
Published by Packt Publishing Limited, GB, 2020
ISBN 10: 1800200455 ISBN 13: 9781800200456
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Paperback. Condition: New. Start with the basics of reinforcement learning and explore deep learning concepts such as deep Q-learning, deep recurrent Q-networks, and policy-based methods with this practical guideKey FeaturesUse TensorFlow to write reinforcement learning agents for performing challenging tasksLearn how to solve finite Markov decision problemsTrain models to understand popular video games like BreakoutBook DescriptionVarious intelligent applications such as video games, inventory management software, warehouse robots, and translation tools use reinforcement learning (RL) to make decisions and perform actions that maximize the probability of the desired outcome. This book will help you to get to grips with the techniques and the algorithms for implementing RL in your machine learning models.Starting with an introduction to RL, you'll be guided through different RL environments and frameworks. You'll learn how to implement your own custom environments and use OpenAI baselines to run RL algorithms. Once you've explored classic RL techniques such as Dynamic Programming, Monte Carlo, and TD Learning, you'll understand when to apply the different deep learning methods in RL and advance to deep Q-learning. The book will even help you understand the different stages of machine-based problem-solving by using DARQN on a popular video game Breakout. Finally, you'll find out when to use a policy-based method to tackle an RL problem.By the end of The Reinforcement Learning Workshop, you'll be equipped with the knowledge and skills needed to solve challenging problems using reinforcement learning.What you will learnUse OpenAI Gym as a framework to implement RL environmentsFind out how to define and implement reward functionExplore Markov chain, Markov decision process, and the Bellman equationDistinguish between Dynamic Programming, Monte Carlo, and Temporal Difference LearningUnderstand the multi-armed bandit problem and explore various strategies to solve itBuild a deep Q model network for playing the video game BreakoutWho this book is forIf you are a data scientist, machine learning enthusiast, or a Python developer who wants to learn basic to advanced deep reinforcement learning algorithms, this workshop is for you. A basic understanding of the Python language is necessary.