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Top rated computers and technology industry books

Here are some top-rated books related to the computers and technology industry:

Programming and Software Development:

1. "Clean Code: A Handbook of Agile Software Craftsmanship" by Robert C. Martin (4.7/5) - A must-read for software developers, focusing on writing clean, maintainable code.
2. "The Pragmatic Programmer: From Journeyman to Master" by Andrew Hunt and David Thomas (4.6/5) - A comprehensive guide to software development best practices.
3. "Introduction to Algorithms" by Thomas H. Cormen (4.5/5) - A classic textbook on algorithms and data structures.

Computer Science and Artificial Intelligence:

1. "Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville (4.8/5) - A comprehensive introduction to deep learning techniques.
2. "Computer Science: A Very Short Introduction" by Paul E. Ceruzzi (4.5/5) - A concise overview of computer science concepts.
3. "Artificial Intelligence: A Modern Approach" by Stuart Russell and Peter Norvig (4.5/5) - A widely used textbook on AI and machine learning.

Technology and Innovation:

1. "The Innovator's Dilemma: When New Technologies Cause Great Firms to Fail" by Clayton M. Christensen (4.6/5) - A classic book on innovation and disruption.
2. "The Singularity is Near: When Humans Transcend Biology" by Ray Kurzweil (4.5/5) - A thought-provoking book on the future of technology and human evolution.
3. "Zero to One: Notes on Startups, or How to Build the Future" by Peter Thiel (4.5/5) - A guide to building successful startups and creating new technologies.

Cybersecurity:

1. "Hacking: The Art of Exploitation" by Jon Erickson (4.5/5) - A comprehensive guide to computer security and hacking.
2. "Cybersecurity 101" by Mark Stanislav (4.4/5) - A beginner's guide to cybersecurity concepts and best practices.
3. "Ghost in the Wires: My Adventures as the World's Most Wanted Hacker" by Kevin Mitnick (4.4/5) - A memoir on the life of a famous hacker and cybersecurity expert.

Data Science and Analytics:

1. "Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking" by Foster Provost and Tom Fawcett (4.5/5) - A guide to data science concepts and applications.
2. "Python Data Science Handbook" by Jake VanderPlas (4.5/5) - A comprehensive guide to using Python for data science and analytics.
3. "Big Data: The Missing Manual" by Tim O'Reilly (4.4/5) - A guide to understanding and working with big data.

These ratings are based on Amazon reviews and are subject to change over time.