Six Books that inspired Microsoft CEO Satya Nadella

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Margaret Fuller said: 'Today a reader, tomorrow a leader'

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Satya Nadella

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Utopia Or Oblivion: The Prospects For Humanit by R. Buckminster Fuller

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The Alignment Problem: Machine Learning And Human Values by Brian Christian

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The Difference: How The Power Of Diversity Creates Better Groups, Firms, Schools, And Societies by Scott E. Page

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The Power Of Creative Destruction by Philippe Aghion, Céline Antonin, and Simon Bunel

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Philosopher of the Heart: The Restless Life of Søren Kierkegaard by Clare Carlisle

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Deep Learning by Ian Goodfellow

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Do you read any of these books?

Six Books that inspired Microsoft CEO Satya Nadella

Margaret Fuller said: 'Today a reader, tomorrow a leader'

Satya Nadella

We've compiled a list of books that inspired and shaped India-born Microsoft CEO and Padma Bhushan Satya Nadella into the man he is today.

Utopia Or Oblivion: The Prospects For Humanit by R. Buckminster Fuller

Fuller demonstrates how design science can help us do more with less. It is still a well-reasoned statement about our future.

The Alignment Problem: Machine Learning And Human Values by Brian Christian

Christian considers one of technology's most pressing issues: how do we teach machines, and what should we teach them?

The Difference: How The Power Of Diversity Creates Better Groups, Firms, Schools, And Societies by Scott E. Page

Page defines diversity as differences in how we perceive and work to improve the world.

The Power Of Creative Destruction by Philippe Aghion, Céline Antonin, and Simon Bunel

It contends that solving socioeconomic problems will require inventing a better capitalism rather than abolishing capitalism.

Philosopher of the Heart: The Restless Life of Søren Kierkegaard by Clare Carlisle

His writing delves into the human condition, particularly love and suffering. Kierkegaard, regarded as the father of existentialism, picks up where Socrates left off by asking how to be a human being in the world.

Deep Learning by Ian Goodfellow

An overview of a wide range of deep learning topics, including mathematical and conceptual foundations, deep learning techniques used in industry, and research perspectives.

Do you read any of these books?