DataTalks.Club

Mastering Algorithms and Data Structures - Marcello La Rocca

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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


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