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Practical Uncertainty

Useful Ideas in Decision-Making, Risk, Randomness & AI

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Practical Uncertainty

Yazan: Hossein Pishro-Nik
Seslendiren: Graham Wolfe
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Life is full of uncertainty, risk, opportunity, and randomness. How can we gain an edge in our decision-making?

There is much that we can neither predict nor control—but we can significantly improve our odds of favorable outcomes in both work and life. By developing an intuitive understanding of risk, chance, and uncertainty, we can harness the power of the randomness all around us to positively impact our lives.

After two decades of investigation, Hossein Pishro-Nik distills his personal experience, research, and feedback from students into actionable methods that will help you make more confident decisions...even if you’ve never picked up a statistics book.

You’ll learn:

  • Usable Insights: Practical applications of probability, statistics, finance, information theory, and machine learning
  • Entrepreneurial Edge: Strategies to assess risk and make smarter business decisions
  • The Unexpected Link: The surprising connection between privacy and randomness
  • AI in the Real World: Ways to apply lessons from the world of AI to our everyday decision-making
  • Demystifying the Complex: Accessible explanations of powerful mathematical concepts that, until now, have not been adequately covered for all listeners

Practical Uncertainty is a friendly, educational manual that uses real-world insights to help you internalize essential tools for risk-taking and decision-making in unpredictable scenarios. With this coherent and approachable book, you’ll gain the knowledge and intuition to master the uncertainty in your life, improve your daily habits, and increase your chances of achieving your goals.

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

©2023 Hossein Pishro-Nik (P)2023 Hossein Pishro-Nik
Computer Science Education Machine Theory & Artificial Intelligence Mathematics Physics Science Teknoloji Veri Bilimi Makine Öğrenimi
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