PRACTICAL UNCERTAINTY: Useful Ideas in Decision-Making, Risk, Randomness & AI - Softcover

Pishro-Nik, Hossein

 
9780990637226: PRACTICAL UNCERTAINTY: Useful Ideas in Decision-Making, Risk, Randomness & AI

Inhaltsangabe

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 readers

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.

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Über die Autorin bzw. den Autor

Hossein Pishro-Nik is a professor in the Department of Electrical and Computer Engineering at the University of Massachusetts Amherst. His research interests include information theory, networks of autonomous agents, statistical learning, and decision-making. He is the author of the bestselling textbook Introduction to Probability, Statistics, and Random Processes, which is freely available at www.probabilitycourse.com.

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