qwertyboss

The only difference between ordinary and extraordinary is just that little "extra".

Candidate interview

1. List to tree then sum of only left nodes.
2. Sentiment analysis of hotel reviews.
3. Image Classifier question

980. Unique Paths III

Visualization: https://pythontutor.com/visualize.html#mode=edit
Explanation: https://www.youtube.com/watch?v=gsnTEtiN8T8

130. Surrounded Regions

Given an m x n matrix board containing 'X' and 'O', capture all regions that are 4-directionally surrounded by 'X'. [Had to check solution, try again later]

Buffer day to clear all pending tasks

- Finish incomplete articles
- Revise

Learn

How would you show the user "the best value for money" hotels? How would you evaluate your solution? what features would you select to explain the "value"? What are the assumption of a linear regression model? What would you do if the relation between outcome and features is not linear? How do you validate the model you built? Design and describe an experiment to confirm that the method you developed is a good one.

https://booking.ai/
qwertyboss Author

I agree.

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Carl Poppa 🛸

just don't go on an all-out price war, because it will only drive businesses into the ground.

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Read and summarize ML in prod booking.com

Read: https://booking.ai/https-booking-ai-machine-learning-production-3ee8fe943c70
My summary:
https://psvishnu.substack.com/p/summary-bookingcoms-rs-the-machine

🛐 One of the Core ideas of booking.com: "Diversity gives us strength".

RS, the Machine Learning Productionization System

🥕Requirements
1. Consistency
2. High availability
3. Low latency
4. Scalability
5. Observability
6. Reusability

👨‍👨‍👦‍👦 The fantastic four approach
▴ Lookup tables:
▴ Generalized Linear Models (GLMs)
▴ Native libraries
▴ Scripted models
qwertyboss Author

Where should I post such summaries? Can anyone suggest me a good platform?

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qwertyboss Author

Currently adding to substack

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