Mastering Algorithms and Data Structures - Marcello La Rocca DataTalks.Club

We talked about:


Learning algorithms and data structures
Resources for learning algorithms and data structures
Most important data structures
Learning the abstractions
Learning algorithms if they aren’t needed at work
Common mistakes when using wrong data structures
Importance of data structures for data scientists
Marcello’s book - Advanced Algorithms and Data Structures
Bloom filters
Where Bloom filters are useful
Approximate nearest neighbours
Searching for most similar vectors
Knowing frameworks vs knowing internals of data structures
Serializing Bloom filters
Algorithmic problems in job interviews
Important data structures for data scientists and data engineers
Learning by doing
Importance of compiled languages for data scientists



Links:


Marcello's book: Advanced Algorithms and Data Structures http://mng.bz/eP79 (promo code for 35% discount: poddatatalks21)
MIT, Introduction to Algorithms: https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-006-introduction-to-algorithms-fall-2011/
Algorithms specialization by Tim Roughgarden: https://www.coursera.org/specializations/algorithms



Join DataTalks.Club: https://datatalks.club/slack.html

Our events: https://datatalks.club/events.html