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Jay Shah @UCdZ0GX-F3ULMKfxtyzSFbaw@youtube.com

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Interviews exploring different applications of Machine Learn


58:49
Making AI models work for real-world applications | Aarti Bagul, ML Engineer @Snorkel AI
52:38
Basics about Product Management and starting your career as PM | Linda Zhang
08:53
Doing a PhD and Deciding thesis topic | Natasha Jacques, Research Scientist @Google
53:01
Deep Reinforcement Learning for Social Learning & Fun Chat | Natasha Jacques, @Google
11:42
Building a profile for Product Management Roles (Machine Learning) | Sharon Zhou @stanford
01:14:22
Ethics in AI, Role of Big Tech Companies & Bitcoin | @nytimes reporter, Cade Metz
04:36
Bias in ML models can be Good & Bad | Akshay Chaudhari, @StanfordAIMI​
05:59
Preparing & nailing Product Management Interview | Renee Yao @NVIDIA​
01:00:49
Machine Learning in Medical Imaging | Dr. Akshay Chaudhari @stanford​
01:01:39
What is Product Management? | Renee Yao @NVIDIA
11:33
Things I learned during my PhD that I did not expect! - Geneviève Patterson, Head of Research @VSCO
46:17
Using Deep Reinforcement Learning for System Optimization & more | Dr. Azalia Mirhoseini, @Google
05:00
How to learn Machine Learning? Self-started ML researcher @Google Brain, Sara Hooker
05:44
Role of Machine Learning in Healthcare | Dr. Matthew Lungren, @stanford
01:33:23
Founding a Startup, doing a PhD, Interpretability | Dr. Geneviève Patterson, Head of Research @vsco
59:47
State of AI in Radiology and its future | Prof. Matthew Lungren, @StanfordAIMI
08:02
Why I left my job at @Google - Debarghya Das
04:32
Applying for Google Residency & role of a Resident | Sara Hooker @Google-Brain
04:05
Using Artificial Intelligence for Climate Change | Sharon Zhou @stanford
01:02:02
AI for Medicine & Climate Change GANs, Product & Time Mngmnt & fun chat | Sharon Zhou, @stanford
58:05
Self taught Machine Learning Researcher@Google-Brain, on Interpretability & more | Sara Hooker
04:23
Machine Learning Engineer VS Data Scientist | Jineet Doshi, Data Scientist @Intuit
03:15
A day in the life on an Applied ML Researcher | Shreya Shankar @stanford
01:04:03
Bharath Ramsundar, Deep Learning for drug discovery, founding an AI startup & more
02:40
Best resources to remain updated to Machine Learning Research | Siddha Ganju, @NVIDIA
07:25
Interviewing for Machine Learning roles in 2020 | Debarghya Das (Deedy) Ex-@Google
02:58
Machine Learning in Academic Research vs Industry | Shashank Bhushan @Google
51:37
Shreya Shankar, ML Engineer @Viaduct on Applied ML research & more
56:36
Harshita Sahijwani, winner of @AmazonAlexa Prize Challenge, PhD student @emoryuniversity
01:07:34
Debarghya Das, Working at Big companies vs Small, and more - Ex-@Google
59:27
Zongwei Zhou, PhD candidate @arizonastateuniversity
55:06
Shaleen Gupta, Deep Learning @Google
34:03
Siddha Ganju, Self-Driving Architect @NVIDIA | @ForbesBreakingNews
32:10
Andrew Harless, Top Kaggler, @harvard-How to get started on Data Science projects?
01:09:37
Sudharsan Krishnaswamy, NLP Engineer@SoundHoundMusic - What is NLP?
46:02
Barkha Bhojak, SDE @LinkedIn - How to get Jobs/Internships in States
42:23
Vidhan Agarwal, AI & ML Research at Microsoft
42:10
Ajinkya Kolhe, Data Engineering & ML Instructor at Google Cloud
37:58
Ganesh Iyer, SDE (AI) at MGH & BWH Center for Clinical Data Science
43:34
Jineet Doshi, Data Scientist at Intuit
47:13
Shraddha Patel, Consultant (AI) at Servian
37:47
Shashank Bhushan, Software Engineer (ML) at Google
35:09
Vaibhavi Desai, Community Manager at Google
38:31
Devanshu Jain, Software Engineer at YouTube