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The Hitchhiker’s guide in getting a FAANG job (Computer Vision)

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# The Hitchhiker’s guide in getting a FAANG job (Computer Vision)

## Note: FAANG is now MAMAA = Meta, Amazon, Microsoft, Alphabet, Apple. [[Check wikipedia](https://en.wikipedia.org/wiki/Big_Tech#FANG,_FAANG,_and_MAMAA)]
---
## Short-term learning list (i.e. I have an interview very soon, what should i do?)
### YouTube talks
- [How to Get a Job at Google - Amazon - Facebook - or Microsoft in 2019, University of Southern California](https://www.youtube.com/watch?v=6nODOtyHSBc)
- [Chip Huyen on Machine Learning Interviews (Full Stack Deep Learning - November 2019)](https://www.youtube.com/watch?v=pli1K75PSa8)
- [Playlist: Mock Interviews - Data Science Jay](https://youtube.com/playlist?list=PLXXms4piUg2gZXEEQRxXzkbPxVqLKsxaT)
### Online reading materials
- [Chip Huyen - Introduction to Machine Learning Interviews](https://huyenchip.com/ml-interviews-book/)
- [Machine Learning Glossary](https://ml-cheatsheet.readthedocs.io/en/latest/index.html)
- [Cheatsheet - CS 229 - Machine Learning](https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/super-cheatsheet-machine-learning.pdf)
- [Data Science Cheatsheet 2.0](https://github.com/aaronwangy/Data-Science-Cheatsheet/blob/main/Data_Science_Cheatsheet.pdf)
- [Cheatsheet for Machine Learning and Data Science](https://sites.google.com/view/datascience-cheat-sheets)
- [Explore InterviewCake webpages](https://www.interviewcake.com)
- [Scan Tech Interview Handbook](https://www.techinterviewhandbook.org)
---
## Long-term learning list (i.e. I am searching for a job in next few months, what should i do?)
### Free courses
- [CS229: Machine Learning - Stanford University](https://cs229.stanford.edu)
- [CS230 Deep Learning - Stanford University](https://cs230.stanford.edu)
- [CS231n: Deep Learning for Computer Vision - Stanford University](http://cs231n.stanford.edu)
- [CS 329S: Machine Learning Systems Design - Stanford University](https://stanford-cs329s.github.io)
### Non-free courses
- [Grokking the System Design Interview - Educative](https://www.educative.io/courses/grokking-the-system-design-interview)
- [Grokking the Machine Learning Interview - Educative](https://www.educative.io/courses/grokking-the-machine-learning-interview)
- [Ace the Python Coding Interview - Educative](https://www.educative.io/path/ace-python-coding-interview)
- [MLExpert - AlgoExpert](https://www.algoexpert.io/machine-learning/product)
- [AlgoExpert - AlgoExpert](https://www.algoexpert.io/product)
- [SystemsExpert - AlgoExpert](https://www.algoexpert.io/systems/product)
### Books
- Introduction to Algorithms, fourth edition [[goodreads](https://www.goodreads.com/book/show/60869154-introduction-to-algorithms-fourth-edition)]
- Cracking the Coding Interview, 6th Edition [[goodreads](https://www.goodreads.com/book/show/55014663-cracking-the-coding-interview)]
- System Design Interview – An insider's guide Vol I [[goodreads](https://www.goodreads.com/book/show/54109255-system-design-interview-an-insider-s-guide)]
- System Design Interview – An insider's guide Vol II [[goodreads](https://www.goodreads.com/book/show/60631342-system-design-interview-an-insider-s-guide)]
- Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems [[goodreads](https://www.goodreads.com/book/show/34626431-designing-data-intensive-applications)]
- Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications [[goodreads](https://www.goodreads.com/book/show/60715378-designing-machine-learning-systems)]
- Ace the Data Science Interview [[goodreads](https://www.goodreads.com/book/show/58949285-ace-the-data-science-interview)]

### Solve as much as possible problems using [[LeetCode (recommended!!)](https://leetcode.com)] or [[HackerEarth](https://www.hackerearth.com/practice/)] or [[FreeCodeCamp (beginner level!!)](https://www.freecodecamp.org/learn/coding-interview-prep/)]
### Do mock interviews with experts using [[InterviewQuery](https://www.interviewquery.com)] , [[interviewing.io](https://interviewing.io)] or [[IGotAnOffer](https://app.igotanoffer.com/coaching/tech/)]

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