Csaba Konkoly's Books

Mastering Uncertainty

How Great Founders, Entrepreneurs, and Business Leaders Thrive in an Unpredictable World

By: Matt Watkinson,Csaba Konkoly

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Mastering Uncertainty

How Great Founders, Entrepreneurs, and Business Leaders Thrive in an Unpredictable World

By: Matt Watkinson,Csaba Konkoly

What separates the world’s most successful founders, entrepreneurs, and business leaders from the rest? It’s not visionary ideas or superhuman intelligence. It’s something more fundamental: their relationship with uncertainty. Most people are blown off course by unexpected events. Top performers, by contrast, know how to navigate our unpredictable world. Not just that: they know how to thrive in it. You can acquire this essential skill, too. In Mastering Uncertainty, investor and serial entrepreneur Csaba Konkoly and award-winning business author Matt Watkinson reveal the shortcomings of conventional business thinking and the advantages of developing a “probabilistic” mindset that turns uncertainty from a source of fear into an incredible and exciting advantage. They offer superbly practical advice on everything from how to handle setbacks and expand your network, to how to spot business opportunities and shape them into successful, growing businesses. Above all, they show how to think and operate like a great entrepreneur.

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Page Count

289

Publisher

BenBella Books

Published Date

ISBN 10

1637743629

ISBN 13

9781637743621

Mastering Uncertainty

How Great Founders, Entrepreneurs, and Business Leaders Thrive in an Unpredictable World

By: Matt Watkinson,Csaba Konkoly

Write a review Read reviews Take a Quiz Solve Book Puzzle

Mastering Uncertainty

How Great Founders, Entrepreneurs, and Business Leaders Thrive in an Unpredictable World

By: Matt Watkinson,Csaba Konkoly

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N/A

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Solve jigsaw puzzle

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Page Count

289

Publisher

BenBella Books

Published Date

ISBN 10

1637743629

ISBN 13

9781637743621

Algorithms for Reinforcement Learning

By: Csaba Grossi

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Algorithms for Reinforcement Learning

By: Csaba Grossi

Reinforcement learning is a learning paradigm concerned with learning to control a system so as to maximize a numerical performance measure that expresses a long-term objective. What distinguishes reinforcement learning from supervised learning is that only partial feedback is given to the learner about the learner's predictions. Further, the predictions may have long term effects through influencing the future state of the controlled system. Thus, time plays a special role. The goal in reinforcement learning is to develop efficient learning algorithms, as well as to understand the algorithms' merits and limitations. Reinforcement learning is of great interest because of the large number of practical applications that it can be used to address, ranging from problems in artificial intelligence to operations research or control engineering. In this book, we focus on those algorithms of reinforcement learning that build on the powerful theory of dynamic programming. We give a fairly comprehensive catalog of learning problems, describe the core ideas, note a large number of state of the art algorithms, followed by the discussion of their theoretical properties and limitations. Table of Contents: Markov Decision Processes / Value Prediction Problems / Control / For Further Exploration

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Publisher

Springer Nature

Published Date

ISBN 10

3031015517

ISBN 13

9783031015519

Book's by Csaba Konkoly

Mastering Uncertainty

Mastering Uncertainty

Mastering Uncertainty

Mastering Uncertainty

Algorithms for Reinforcement Learning

Algorithms for Reinforcement Learning

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