What's the most challenging skill you needed to learn in your career? | 69,420 Subscribers Live Q&A

Daniel Bourke · Beginner ·📐 ML Fundamentals ·5y ago
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
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 30 The 100 Days is Over! | 100 Days of Code 17
The 100 Days is Over! | 100 Days of Code 17
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Try Going Over It Again | Learning Intelligence 3
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Python and Pullups | Learning Intelligence 4
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How to Pass the Turing Test + I FAILED | Learning Intelligence 6
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Biology and Physics meet Computer Science | Learning Intelligence 7
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 41 Udacity Artificial Intelligence Nanodegree Project 3 Progress | Learning Intelligence 8
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 42 Passing Project 3 of Udacity's Artificial Intelligence Nanodegree | Learning Intelligence 9
Passing Project 3 of Udacity's Artificial Intelligence Nanodegree | Learning Intelligence 9
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Bayes Networks, Hidden Markov Models and How I Wake Up | Learning Intelligence 10
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Udacity AI Nanodegree Progress and Bayes' Rule Explained | Learning Intelligence 11
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Udacity AI Nanodegree Project 4 Planning and Progress | Learning Intelligence 12
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Finishing Term 1 of Udacity's Artificial Intelligence Nanodegree | Learning Intelligence 13
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deeplearning.ai Progress! | Learning Intelligence 14
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Coursera Deep Learning Specialization Progress | Learning Intelligence 15
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Computer Vision Basics + More deeplearning.ai Progress! | Learning Intelligence 16
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 50 My Experience at CodeCamp, Intro to Keras and Failing Hard | Learning Intelligence 17
My Experience at CodeCamp, Intro to Keras and Failing Hard | Learning Intelligence 17
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 51 In-Depth Udacity Deep Learning Nanodegree Review
In-Depth Udacity Deep Learning Nanodegree Review
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 52 Completing the Deeplearning.ai Specialization on Coursera | Learning Intelligence 18
Completing the Deeplearning.ai Specialization on Coursera | Learning Intelligence 18
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Starting Term 2 of the Udacity Artificial Intelligence Nanodegree | Learning Intelligence 19
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Submitting the Computer Vision Capstone Project | Udacity AI Nanodegree | Learning Intelligence 20
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deeplearning.ai Sequence Models Course Progress | Learning Intelligence 21
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Graduating from the deeplearning.ai Coursera Specialization | Learning Intelligence 22
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Chapters (35)

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
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 ❤️?
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