Mastering Algorithms and Data Structures - Marcello La Rocca

We talked about:

00:00 DataTalks.Club intro
02:59 Marcello’s background
04:51 Learning algorithms and data structures
09:00 Resources for learning algorithms and data structures
10:08 Most important data structures
12:17 Learning the abstractions
15:09 Learning algorithms if they aren’t needed at work
20:14 Common mistakes when using wrong data structures
21:38 Importance of data structures for data scientists
23:10 Marcello’s book - Advanced Algorithms and Data Structures
29:43 Bloom filters
34:43 Where Bloom filters are useful
39:10 Approximate nearest neighbours
44:46 Searching for most similar vectors
47:47 Knowing frameworks vs knowing internals of data structures
49:52 Serializing Bloom filters
52:55 Algorithmic problems in job interviews
56:43 Important data structures for data scientists and data engineers
58:53 Learning by doing
1:00:39 Importance of compiled languages for data scientists
1:03:01 Wrapping up

Links: