Power of Algorithms to Live Better

Ajay kumar Simhadri
2 min readNov 22, 2023

“If you want to live a happy life, tie it to a goal, not to people or things.” — Albert Einstein

Have you ever thought how computers make decisions? or

Do you ever wished you could make decisions as effectively as they do?

Algorithms to Live By: The Computer Science of Human Decisions

Well, now you can! The book “Algorithms to Live By” by Brian Christian and Tom Griffiths shows you how to apply the principles of computer science to make better decisions in your everyday life.

What are Algorithms?

Algorithms are like step-by-step instructions that computers follow to solve problems. They are used for everything from finding the shortest route to a destination to recommending products to buy.

In this book, the authors show us how to use algorithms to solve common decision-making problems, such as:

  • How to choose between two or more options
  • How to prioritize tasks
  • How to deal with uncertainty
  • How to set goals and achieve them

Why Use Algorithms for Everyday Decisions?

There are many benefits to using algorithms for everyday decisions. Algorithms can help us to:

  • Make more objective decisions
  • Avoid common decision-making biases
  • Make better use of our time and resources
  • Achieve our goals more effectively

How to Use Algorithms in Your Life

The book provides a variety of practical tips for using algorithms in your life.

For example, you can use the “hill climbing” algorithm to find the best parking spot, or the “multi-armed bandit” algorithm to decide which restaurant to try.

Who Should Read This Book?

This book is for anyone who wants to make better decisions in their life. It is easy to understand, even if you have no prior knowledge of computer science.

If you want to purchase this book, you can find a link here. If you would prefer a free version, you can click here.

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Ajay kumar Simhadri
Ajay kumar Simhadri

Written by Ajay kumar Simhadri

No one knows what the future holds. That’s why its potential is infinite.

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