About
One way to prepare, built around what gets scored.
Solve Algorithms began as a book, How to Solve Algorithm Problems. Its argument is that most candidates practise the thing that decides the fewest interviews, and that the rest can be trained once you can see it.
The practice grew out of the book: problems graded by its own tests, the patterns it teaches you to spot, and a place to keep what you learn. The book is still the core. Everything else is there so you can do what it says.
Second edition
A full rebuild, not a reprint.
The first edition printed a listing that quietly returned two of five answers on its own example, and a reader wrote in about the Kindle formatting. This one was rebuilt so neither can happen again.
- 01
Rewritten from the first page.
38,000 words against 15,600. The method that was only implied is now written down.
- 02
A test suite that ships with the book.
So you can run the listings yourself rather than trust them.
- 03
Every diagram is generated from code.
So a figure cannot drift from what it describes.
- 04
Typeset, not exported.
A 14pt baseline grid, with mathematics in a face built for the body type.
Who wrote this
Waleed Khamies
Applied scientist, machine learning and optimization
I have been the candidate who knew the algorithm and still lost the room, and I have been the one assessing whether someone could think out loud under pressure. The first edition came out of working out what I was doing wrong.
- Now
- AI consultant, production ML systems
- Before
- NTWIST · MILA · UpTech · Brown University Robotics Lab
- Study
- MSc Machine Learning, AIMS. Google AI Scholarship
- Papers
- Workshop papers at ICML 2021 and NeurIPS 2019, 2018
Get in touch
Questions, corrections and refunds all go to contact@solvealgorithms.com, and a person answers.
contact@solvealgorithms.com