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Summary of Hannah Fry's Hello World
Summary of Hannah Fry's Hello World
Summary of Hannah Fry's Hello World
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Summary of Hannah Fry's Hello World

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#1 The IBM team that designed Deep Blue made the brilliant decision to design the machine to appear more uncertain than it was. During the six-game match, the machine would occasionally hold off from declaring its move for several minutes. From Kasparov’s end of the table, the delays made it look as if the machine was struggling.

#2 The story of Deep Blue defeating the great grandmaster Garry Kasparov demonstrates that the power of an algorithm isn’t limited to what is contained within its lines of code. Understanding our own flaws and weaknesses is the key to remaining in control.

#3 Algorithm is a term that is used frequently but fails to convey much actual information. It is typically used to describe a series of logical instructions that show, from start to finish, how to accomplish a task. But in reality, algorithms are almost always mathematical objects that take a sequence of mathematical operations and turn them into computer code.

#4 Algorithms are designed to remove some information to focus on what’s important. They do this by filtering through possible routes, connections, and outcomes, and selecting the best one.

LanguageEnglish
PublisherIRB Media
Release dateJun 9, 2022
ISBN9798822536807
Summary of Hannah Fry's Hello World
Author

IRB Media

With IRB books, you can get the key takeaways and analysis of a book in 15 minutes. We read every chapter, identify the key takeaways and analyze them for your convenience.

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    Summary of Hannah Fry's Hello World - IRB Media

    Insights on Hannah Fry's Hello World

    Contents

    Insights from Chapter 1

    Insights from Chapter 2

    Insights from Chapter 3

    Insights from Chapter 4

    Insights from Chapter 5

    Insights from Chapter 6

    Insights from Chapter 7

    Insights from Chapter 1

    #1

    The IBM team that designed Deep Blue made the brilliant decision to design the machine to appear more uncertain than it was. During the six-game match, the machine would occasionally hold off from declaring its move for several minutes. From Kasparov’s end of the table, the delays made it look as if the machine was struggling.

    #2

    The story of Deep Blue defeating the great grandmaster Garry Kasparov demonstrates that the power of an algorithm isn’t limited to what is contained within its lines of code. Understanding our own flaws and weaknesses is the key to remaining in control.

    #3

    Algorithm is a term that is used frequently but fails to convey much actual information. It is typically used to describe a series of logical instructions that show, from start to finish, how to accomplish a task. But in reality, algorithms are almost always mathematical objects that take a sequence of mathematical operations and turn them into computer code.

    #4

    Algorithms are designed to remove some information to focus on what’s important. They do this by filtering through possible routes, connections, and outcomes, and selecting the best one.

    #5

    Rule-based algorithms are easy to understand, but they only work for problems for which humans know how to write instructions. Machine-learning algorithms, on the other hand, have been shown to be good at solving problems where writing a list of instructions won’t work.

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