From Physics to Machine Learning - Tatiana Gabruseva

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