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Book Recommendations on AI and Data Analytics for 2023

AI & Data Analytics
Book Recommendations

Technical book recommendations for those interested in learning more about artificial intelligence, data analytics, and data visualization.

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Prediction Machines

Ajay Agrawal

Joshua Gans

Avi Goldfarb

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MIT: AI Ethics

Mark Coeckelbergh

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HBR: Agile

Insights You Need to Know From Harvard Business Review

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2030

Mauro F. Guillen

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HBR: The Year in Tech - 2023

Insights You Need to Know From Harvard Business Review

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HBR: The Year in Tech - 2022

Insights You Need to Know From Harvard Business Review

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HBR: Strategic Analytics

Insights You Need to Know From Harvard Business Review

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Super Interlligence

Nick Bostrom

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Power & Prediction

Ajay Agrawal

Joshua Gans

Avi Goldfarb

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MIT: Machine Learning

Ethem Alpaydin

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HBR: Artificial Intelligence

Insights You Need to Know From Harvard Business Review

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HBR: Cybersecurity

Insights You Need to Know From Harvard Business Review

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Good Charts

Scott Berinato

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Thinking Fast & Slow

Daniel Kahneman

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Effective Data Storytelling

Brent Dykes

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AI, IoT, and the Blockchain

Joseph Bambara 

Ron Espinosa 

Steven Wolff 

Paul Allen 

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Competing in the Age of AI

Marco Iansiti  

Karim R. Lakhani 

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MIT: Biofabrication

Ritu Raman

If  we ever build a sentient being, its likely going to be done with biofabrication.

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A Human History of Emotion

Richard Firth-Godbehere

This is a great book to read while developing emotionally intelligent AI.

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The Design of Everyday Things

Don Norman

Designing AI products still need to play by the rules of UX design.

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The Psychology Book

Understanding the foundamentals of psychology is imperative to designing emotionally intelligent AI.

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