Making ML model error an information source - Marta Hendler - code::dive 2023

Making ML model error an information source - Marta Hendler - code::dive 2023
Share:

Download MP3


Similar Tracks

Why doesn't common sense make sense? - Michał Węgrzyn - code::dive 2023 code::dive conference
Jaroslaw Gnitecki - No code dive, low code dive code::dive conference
Ambiq AI for IoT SoC: Intro to AI Ambiq
Zbigniew Skowron - Inside CPUs and GPUs code::dive conference
"Symbolic AI – What It Can and Cannot Do" — A Paradigm Shift in Computer Science? TU Wien Informatics
10 ML algorithms in 45 minutes | machine learning algorithms for data science | machine learning Unfold Data Science
Andrew Ng Explores The Rise Of AI Agents And Agentic Reasoning | BUILD 2024 Keynote Snowflake Inc.
11. Introduction to Machine Learning MIT OpenCourseWare
Think Fast, Talk Smart: Communication Techniques Stanford Graduate School of Business
Jaroslaw Gorski - From PaaS to SaaS - building automated ordering system on multitenant kubern code::dive conference
Machine Learning Tutorial | Machine Learning Basics | Machine Learning Algorithms | Simplilearn Simplilearn
Herb Sutter - Peering forward C++’s next decade code::dive conference
How to Speak MIT OpenCourseWare
Maciej Norberciak - Software architecture in pictures code::dive conference
Karolina Malanowska Chmiela - UX of Code Leveraging UX Principles for Better Coding code::dive conference
Bjarne Stroustrup - The Essence of C++ code::dive conference
Are You Too Dumb To Be A Data Scientist? Data Nash
Hana Dusíková - My favorite data structures code::dive conference
Patryk Wychowaniec - Kartoffels - Emulating thousands of RISC V CPUs For Fun code::dive conference
Data Analytics For Beginners | Introduction To Data Analytics | Data Analytics Using R | Simplilearn Simplilearn