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The Books that Shaped my Career: Part II

Some books I read during college part two.

Since some of you asked for part II, I wrote this list of books that I most benefitted from in my career, and that actually stuck with me.

I really enjoyed math and physics at the beginning, but after a while, I found my passion in computer science and so I shifted my learning habits into a “read less, build more” mindset.

If I were to go back, I would’ve spent more time building apps and websites to solve my own problems, instead of reading books.

The great lesson I learned in engineering is: you can probably read all the books about how to build a bridge in it’s most advanced techniques, but won’t know how to build a simple one for a small town, unless you practice and apply your knowledge. The same goes with neural networks, robotics, etc.

The list:

  1. Cracking the Coding Interview | By Gayle Laakmann McDowell
  2. The Hundred-Page Machine Learning Book | By Andriy Burkov
  3. Deep Learning | By Ian Goodfellow, Yoshua Bengio, and Aaron Courville
  4. Designing Machine Learning Systems | By Chip Huyen
  5. Hands-On Machine Learning with Scikit-Learn and TensorFlow | By Aurelien Geron
  6. DeepLearning with Python | By Francois Chollet
  7. Ace the Data Science Interview | By Kevin Huo, Nick Singh
  8. Clean Architecture: A Craftsman’s Guide to Software Structure and Design | By Robert Martin
  9. The Rust Programming Language | By Steve Klabnik, Carol Nichols
  10. The C++ Programming Language | By Bjarne Stroustrup
  11. Case in Point: Complete Case Interview Preparation | By Marc Cosentino
  12. Elements of Programming Interviews in Java | By Adnan Aziz, Amit Prakash, and Tsung-Hsien Lee
  13. Reinforcement Learning, An Introduction | By Andrew Barto, Richard Sutton
  14. Machine Learning Design Patterns | By Valliappa Lakshmanan, Sara Robinson, Michael Munn
  15. ROS Programming: Building Powerful Robots | By Anil Mahtani, Enrique Fernandez, and Luis Sanchez
  16. Designing Data-Intensive Applications | By Martin Kleppmann
  17. Systems Design Interview: An Insider’s Guide | By Alex Xu
  18. Cracking the PM Interview | By Gayle Laakman McDowell
  19. Pro Git | By Ben Straub and Scott Chacon
  20. Elements of Programming Interviews in Python | By Adnan Aziz, Amit Prakash, and Tsung-Hsien Lee
  21. Grokking Algorithms | By Aditya Y. Bhargava
  22. Introduction to Algorithms | By Thomas H. Cormen et al
  23. Introduction to the Theory Computation | By Michael Sipser
  24. Advanced Programming in the Unix Environment | By W. Richard Stevens
  25. The Elements of Statistical Learning | By Jerome H. Friedman et al
  26. Mathematics for Machine Learning | By A. Aldo Faisal et al
  27. Deep Learning with PyTorch | By Eli Stevens et al
  28. Pattern Recognition and Machine Learning | By Christopher Bishop
  29. Datastructures and Algorithms in Python | By Michael H. Goldwasser, et al
  30. Machine Learning, A Probabilistic Perspective | Kevin P. Murphy
  31. Differential Equations | By Paul Dawkins
  32. Signals & Systems | Alan V. Oppenheim, Alan S. Willsky
  33. Superintelligence: Paths, Dangers, Strategies | By Nick Bostrom
  34. The C Programming Language | By Brian W. Kernighan, Dennis M. Ritchie
  35. Six Easy Pieces: Essentials of Physics Explained by Its Most Brilliant Teacher | By Richard Feynman
  36. Modern Control Engineering | By Katsuhiko Ogata
  37. Modern Control Systems | By Richard C. Dorf, and Robert H. Bishop
  38. Structures: Or Why Things Don’t Fall Down | By J. E. Gordon
  39. Linear and Nonlinear Programming | By David G. Luenberger, Yinyu Ye
  40. Clean Code: A Handbook of Agile Software Craftmanship | By Robert Martin
  41. Introduction to Thermodynamics | By Yunus A Cengel
  42. Thermodynamics: An Engineering Approach | By Michael A. Boles, Yunus A Cengel
  43. Fluid Mechanics: Fundamentals and Applications | By Yunus A Cengel, John M. Cimbala
  44. Heat and Mass Transfer | By Yunus A Cengel et al
  45. An Introduction to the Theory of Numbers | By G. H. Hardy
  46. Mechanics of Materials | By R. C. Hibbeler
  47. Engineering Mechanics: Dynamics | By R. C. Hibbeler
  48. Engineering Mechanics: Statics | By R. C. Hibbeler
  49. Calculus | By James Stewart
  50. Multivariable Calculus | By James Stewart

Whether you’re just starting out in your career or you’re looking to take the next step, I hope this list of books will inspire you to continue learning and growing!

NB: for a more thorough collection of books on startups, sci-fi, history, and books that sit on the intersection of must-read and entertaining check out my Goodreads account.