Taking Career to the next level
summary
Career advice lists concrete actions and outcomes: build side projects teach accountability (blogs, tools), take named online courses (Coursera Google Amazon) to gain discipline, join hackathons to learn teamwork quickly, volunteer with groups like woman or Cod and meetups to get referrals, and track metrics that matter (latency, cost) when deploying models. Roles split into analyst decision scientist and machine learning engineer with clear junior→senior→lead expectations, use version control devops and seek sponsors who advocate.
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chapters (12)
- 0:00Career growth strategies
- 1:31Holistic career development
- 2:58Side projects benefits
- 5:09ML career roles overview
- 8:00ML role expectations
- 11:31Stakeholder relationships
- 13:16DevOps and communication skills
- 19:04Mentors and sponsors
- 22:39Career growth resources
- 24:52Startup vs corporate roles
- 27:30Education paths for DS
- 30:46Closing remarks & Q&A
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