Let’s talk machine learning, health, business and more.

Timestamps:
0:00 – Intro
2:09 – No more mullet
4:40 – QA Start
4:50 – Is AI mostly overhyped?
9:40 – Does the TensorFlow developer certification give you an edge in interviews?
15:05 – How much experience do you have in Jiu Jitsu?
16:34 – What computer should I use for deep learning?
26:48 – How did you start writing?
39:39 – What courses would you recommend for ML engineering?
43:04 – How are ML models connected with websites?
52:02 – How did you meet up with Andrei (my business partner)
55:05 – Best way to get a machine learning job?
58:00 – What’s enough to apply for ML engineer roles?
59:02 – How to build a deep learning powered startup using open source tools?
1:02:48 – How to start learning ML today?
1:05:45 – fastai vs TensorFlow?
1:07:10 – What do you think of GPT-3?
1:12:30 – How do you ensure a fast feedback loop for learning machine learning?
1:13:35 – What was your goal at the start of your learning journey?
1:14:30 – Math first vs applications first vs both at the same time?
1:15:10 – How do you wake up at 5am every day?
1:15:50 – How do you deal with the afternoon ‘slump’?
1:16:41 – Is it important to work on your own projects?
1:17:30 – How do I get out of my own way and learn data science?
1:18:35 – Do I need math for machine learning deployment?
1:19:40 – Is your machine learning course enough to get a job in machine learning?
1:22:50 – Do you have a Discord server?
1:23:10 – Outro

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