In this week's episode, we have Max Cantor, who left his PhD program to pursue a fulfilling career in machine learning. He discusses the skills he gained in academia that helped him excel in his new role and offers advice for others considering a similar path.
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Timestamps
00:00 Meet Alex
00:25 Transitioning from Academia to Industry
02:04 The Shift in Tools and Mindset from Academia to Industry
03:00 Advice for Choosing Between Academia and Industry
03:37 Understanding the Pressures of Academia vs. Industry
04:48 Improving Work-Life Balance in the Tech Industry
06:26 Overcoming Imposter Syndrome and Career Transition Challenges
08:16 Navigating the Interview Process and Building Skills
10:55 Exploring Machine Learning Roles and Industry Dynamics
14:39 Continuous Learning and Staying Updated in Machine Learning
15:08 Debunking AI and Machine Learning Hype
16:19 Career Pathways and Future Trends in Machine Learning
21:12 Hot Takes on Machine Learning Careers
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Негізгі бет I Left Academia for Machine Learning (And I'm Glad I Did)
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