Vincent Warmerdam - Keynote "Natural Intelligence is All You Need [tm]"

[@alessandroceccarelli6889]

His sessions are ALWAYS inspiring! Congrats

[@pmbaumgartner]

Timestamps (Generated by Whisper & GPT-4): 00:00 - Introduction to Keynote and Talk Preparation 00:36 - Article Discussion and Smartwatch Data Set Overview 01:16 - Statistics Course Case Study with the Data Set 02:01 - Data Visualization and Analysis Methodology 03:04 - Insights from Data Set and the 'Gorilla' Concept 03:13 - Real-World Application: Recommender Systems for Used Cars 05:04 - Shifting Strategies: Classifier Over Recommender 06:01 - Innovative Approach: Recommender System Reversal 07:01 - Influence of the Netflix Prize and Kaggle on Problem-Solving Approaches 08:05 - Concept of Reinventing the Wheel in Data Science 08:36 - New Data Set on Credit Card Fraud and Algorithmic Approaches 10:03 - Rethinking Algorithmic Approaches and Visualization Techniques 11:00 - Demonstration: Analyzing the Credit Card Fraud Data Set 13:44 - Utilizing Visualization for Predictive Analysis 14:17 - Interactive Data Exploration and Simplification 15:18 - Comparing Different Algorithmic Approaches 16:11 - Rethinking the Use of Random Forests in Fraud Detection 17:10 - The Importance of Human Learning in Data Analysis 20:30 - Transition to Word Embeddings and Conceptual Understanding 23:01 - Advanced Techniques in Natural Language Processing 25:06 - Exploring Phrase Embeddings for Enhanced Contextual Understanding 27:07 - The Importance of Rethinking Traditional Approaches 28:07 - Finding Inspiration in Unconventional Data Sets 30:10 - Building a Classifier for Novel Data Sets 32:12 - Rethinking Annotation and Classification Strategies 33:43 - Innovations in Data Annotation and Model Training 38:04 - The Optimality Trap in Data Science and Machine Learning 40:40 - Avoiding Monoculture Thinking in Data Problem Solving 42:43 - The Role of Doubt in Creative Problem Solving 44:50 - Encouraging Creativity and Independent Thinking in Data Science 45:48 - The Future of Data Science: Independence Over Tool Dependence 46:06 - Final Thoughts and Invitation to Workshop

[@omarelsayed247]

you know shit is about to be good when this guy talks

[@patrick_bateman-ty7gp]

Heck yeah ! He's amazing! He questions the most basic aspects of data science, I love that about him. He's the one who goes in a crowd "why didn't you use simple linear regression? Why use this neural network for everything?!"

[@calmcode-io]

I hear he may even question GridSearch at PyData Amsterdam this year!

[@oniricosoy]

very inspiring 😄

[@GoingData]

I really loved this talk, man how could i work with you ?

[@DarjoScn]

You should volunteer for PyData, lots of interesting and smart people to work with :)

[@josephbolton8092]

I was thinking exactly the same thing!

[@calmcode-io]

You may want to keep an eye on the probabl and calmcode KZbin channels. 😉

[@jincui448]

Very interesting session. Any chance you can share the Juypter Notebook for the credit card dataset?

[@dirknbr]

Great talk and message. I agree we need doubt and curiosity. Always ask your DS, why did you choose this model?

[@Mehrdadkh87]

29:00 agricultural photography