Data Science Careers with Dhaval Patel - Codebasics Youtube

Dhaval Patel is a software & data engineer with more than 17 years of experience. He has been working as a data engineer for a Fintech giant Bloomberg LP (New York) as well as NVidia in the past. He teaches programming, machine learning, data science through YouTube channel CodeBasics which has 428K subscribers worldwide.  00:00 Intro 01:34 Autoimmune disease ‘Ulcerative colitis’, Life & Death Struggle, Back to Life 03:40 Mental Health, Steroids & Immune System  11:00 Planning Videos, Pedagogy & Smart People Problem 17:15 Working at Bloomberg, Bloomberg Trading Terminal & Exceptional Talent in Bloomberg 21:13  Career Tracks on Data Related Spectrum, Pathways for different Careers 25:16  Data Structure and Algorithms, Politics vs Equations, Eternity  28:20  ML vs Deterministic Programming, Time & Space complexity of the ML Models 30:37 Kaggle vs Real Life, Soft Skills for Engineers, Transition from Competitions to Industrial Use-cases  30:02 Litmus Test for Hiring Data Scientists, Continuous Engagement & Adaptability 42:35 Loss of Productivity by Lack of Communication Skills, Education System Deficiencies, How to Win Friends by Dale Carnegie  46:50 Death by PowerPoint, Simplicity & Walk vs Talk 49:51 Negotiating Salary,  Action vs Motivation, Cellphone is a Distraction  57:35 Growing Vegetables, Joy of Gardening, Rural Childhood & GMO Food   01:01:40 Dhando Investor, Motel Business Monopoly by Patels, Software Engineering 01:04:04 Deep learning, C++ Back-propagation Algorithms,  Nvidia Titan RTX GPUs, Amazon Stores Experience 01:08:49 Nvidia Broadcast Noise Cancellation Demonstration, Nvidia Card Filtering, CNNs and Edge Detection  01:16:06 BlackBox Models, ML-centric vs Data-Centric Models,   01:19:25 Natural Language Understanding, Yann Lecaun, Low Accuracy is NLP Models 01:21:18 Github AI Pairing, Data Structures & Future of Programming Languages 01:27:01 ETL pipelines & Distributed Computing Structures  01:30:00 FAST API, Beginner’s Tools, Pytorch vs TensorFlow, Improvements in Tensorflow 2.0 01:35:05 Programmers vs Normal People, Semantics of English vs Programming Languages, pd.read_csv  01:38:03 Nvidia GPU vs Apple M1 GPU, Hope for non-Nvidia Deep-learning, Google Colab 01:41:30 Google Pixel,  Google Tensor Chips & Chip Shortages 01:44:00 Discord Community for Data Science, Mentorship & Abundance Mindset 01:49:00 Struggles, Battles, Hopelessness & Dysphonia