What's the most challenging skill you needed to learn in your career? | 69,420 Subscribers Live Q&A
69,420 subscribers!!! Let's do a live Q&A
Bonus points if you get the reference... ;)
Note: the audio drops between 31:54 and 35:20.
Timestamps:
0:00 - Intro/hello/dancing
3:50 - Does data science or ML have promise in the future?
5:30 - Do ML engineers or data scientists work on a permanent or contract basis?
6:30 - The origin of 69,420
7:40 - Why don't you do more RL?
10:13 - How open are you to collaborate on a project with anyone?
12:40 - How to get overseas opportunities in machine learning engineering?
14:27 - Kaggle vs end to end projects?
16:34 - What was the most challenging skill you needed to learn in your career?
19:27 - Will the singularity come?
21:45 - Will AI increase wealth inequality?
24:22 - Which companies are making great progress in terms of machine learning?
26:22 - Will Python or R programming languages be relevant for machine learning in the future?
27:50 - Which IDE is your favourite for machine learning?
28:01 - How do you wind down at the end of the day?
31:53 - AUDIO DROP START
35:21 - AUDIO DROP STOP (shocking audio quality)
36:31 - GOOD AUDIO RETURNS
37:20 - How do you get better at reimplementing papers?
38:37 - How to get Machine Learning Engineer skills
39:00 - What machine learning projects do you recommend for beginners?
40:05 - How's the progress going on the fitness app you wanted to build?
40:57 - Do you plan on making a fitness course?
45:53 - What are your favourite YouTube channels on ML?
47:50 - How to get paid for doing ML work for clients?/How to get clients?
50:12 - Any tips on getting into blogging?
51:22 - What's something you wish you knew when you were 17 years old?
54:20 - How are you doing?
54:42 - The impact of doing a master's degree in data science on job opportunities
57:44 - Daniel Bourke vs @KenJee_ds
58:10 - Prerequisites for learning deep learning
58:37 - How to gain muscles fast?
59:00 - Number 1 rule of coding Python
59:45 - How to get freelance clients in data science
1:00:00 - Can I get ❤️?
1:03:40 - Where's the best place to learn machine learning?
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