50 Algorithms Every Programmer Should Know: Tackle computer science challenges with classic to modern algorithms in machine learning, software design, data systems, and cryptography 50 Algorithms Every Programmer Should Know: Tackle computer science challenges with classic to modern algorithms in machine learning, software design, data systems, and cryptography Paperback Kindle

This second edition of 50 Algorithms Every Programmer Should Know not only has the updated versions of most algorithms from the first edition in line with current IT trends, but it also aims to help readers delve into advanced deep learning architectures and new chapters on sequential models like LSTMs, GRUs, RNNs, and LLMs.

Furthermore, through this edition, I've tried to shed light on contemporary topics such as addressing hidden data biases and demystifying algorithm explainability.

How has your career helped you write this book?

I’ve had a rich background in cloud computing, AI, and machine learning that I want to bring to the table with this book. I’ve had experience in high-profile projects with the Canadian Federal Government, taught at Google, and am a visiting professor at Carleton University. My experience in all of these different projects with their own focuses and challenges has taught me some insights that I’d like to share, whether it’s about the applicability of some algorithms, or maybe their ethics, or their future direction. I hope it also adds a unique perspective to what I’ve written.