DataTalks.Club From Physics to Machine Learning - Tatiana Gabruseva
May 14, 2021
01:06:33
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
Join DataTalks.Club: https://datatalks.club/slack.html