This episode currently has no reviews.
Submit ReviewSanyam Bhutani is a Machine Learning Engineer at H2O.ai and host of the Chai Time Data Science Show.
Learn more about Sanyam:
Website: https://sanyambhutani.com/
YouTube: https://www.youtube.com/c/ChaiTimeDataScience
Chai Time Data Science: https://chaitimedatascience.com/
Want to level-up your skills in machine learning and software engineering? Join the ML Engineered Newsletter: https://mlengineered.ck.page/943aa3fd46
Take the Giving What We Can Pledge: https://www.givingwhatwecan.org/
Subscribe to ML Engineered: https://mlengineered.com/listen
Follow Charlie on Twitter: https://twitter.com/CharlieYouAI
Timestamps:
(03:00) How Sanyam got started in CS and ML
(16:20) Getting a CV internship after freshman year
(20:30) Having a vision of using AI to help the masses of India
(23:25) FastAI international fellowship
(27:40) Interviews with Machine Learning Heroes
(36:50) Frustration while training ML models
(43:35) Interviewing Jeremy Howard
(46:00) Creating ML content that resonates
(01:01:00) Working at h2o.ai and making an ML course
(01:11:00) Exciting opportunities in the field now
(01:21:20) Rapid fire questions
(01:26:35) Outro
Links:
Interviews with Machine Learning Heroes
Sanyam's Interview with Jeremy Howard
Sanyam Bhutani is a Machine Learning Engineer at H2O.ai and host of the Chai Time Data Science Show.
Learn more about Sanyam:
Website: https://sanyambhutani.com/
YouTube: https://www.youtube.com/c/ChaiTimeDataScience
Chai Time Data Science: https://chaitimedatascience.com/
Want to level-up your skills in machine learning and software engineering? Join the ML Engineered Newsletter: https://mlengineered.ck.page/943aa3fd46
Take the Giving What We Can Pledge: https://www.givingwhatwecan.org/
Subscribe to ML Engineered: https://mlengineered.com/listen
Follow Charlie on Twitter: https://twitter.com/CharlieYouAI
Timestamps:
(03:00) How Sanyam got started in CS and ML
(16:20) Getting a CV internship after freshman year
(20:30) Having a vision of using AI to help the masses of India
(23:25) FastAI international fellowship
(27:40) Interviews with Machine Learning Heroes
(36:50) Frustration while training ML models
(43:35) Interviewing Jeremy Howard
(46:00) Creating ML content that resonates
(01:01:00) Working at h2o.ai and making an ML course
(01:11:00) Exciting opportunities in the field now
(01:21:20) Rapid fire questions
(01:26:35) Outro
Links:
Interviews with Machine Learning Heroes
Sanyam's Interview with Jeremy Howard
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