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From Physics to Machine Learning - Tatiana Gabruseva
MP3•Episode home
Manage episode 292558768 series 2831626
Content provided by DataTalks.Club. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by DataTalks.Club or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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
167 episodes
MP3•Episode home
Manage episode 292558768 series 2831626
Content provided by DataTalks.Club. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by DataTalks.Club or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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
167 episodes
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