DataTalks.Club

From Physics to Machine Learning - Tatiana Gabruseva

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We talked about:

  • Tatiana’s background
  • 12 career hacks and changing career
  • Hack #1: Change your social circle
  • Hack #2: Forget your fears and stereotypes
  • Hack #3: Forget distractions
  • Hack #4: Don’t overestimate others and don’t underestimate yourself
  • Hack #5: Attention genius
  • Hack #6: Make a team
  • Hack #7: Less is more. Forget about perfectionism
  • Hack #8: Initial creation
  • Hack #9: Find mentors
  • Hack #10: Say “no”
  • Hack #11: Look for failures
  • Hack #12: Take care of yourself
  • Kaggle vs internships and pet projects
  • Resources for learning machine learning
  • Starting with Kaggle
  • Improving focus
  • Astroinformatics
  • How background in Physics is helpful for transitioning
  • Leaving academia
  • Preparing for interviews


    • Links:

    • Mock interviews: https://www.pramp.com/
    • Learning ML: https://www.coursera.org/learn/machine-learning and https://www.coursera.org/specializations/deep-learning
    • Python: https://www.coursera.org/learn/machine-learning-with-python 
    • SQL: https://www.sqlhabit.com/ 
    • Practice: https://www.kaggle.com/
    • MIT 6.006: https://courses.csail.mit.edu/6.006/fall11/notes.shtml
    • Coding: https://leetcode.com/
    • System design: https://www.educative.io/courses/grokking-the-system-design-interview
    • Ukrainian telegram groups for interview preparation: https://t.me/FaangInterviewChannel,  https://t.me/FaangTechInterview, https://t.me/FloodInterview


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