DrivenData Labs

DECEMBER 13, 2022

The goal of this benchmark is to: Demonstrate how to explore and work with the data Provide a basic framework for building a model Demonstrate how to package your work correctly for submission You can either expand on and improve this benchmark, or start with something completely different!

ML 130

ML ML Python Deep Learning 130

DrivenData Labs

FEBRUARY 21, 2023

For this competition, your task is to train a machine learning model to automatically predict pushback time from public air traffic and weather data. In the Open Arena , you will work with 2 years of data to train a model and submit predictions for a validation set. Here's a map showing their locations.

Machine Learning 130

Machine Learning Machine Learning Deep Learning Deep Learning 130

AWS Machine Learning Blog

DECEMBER 6, 2023

Conversational AI has come a long way in recent years thanks to the rapid developments in generative AI, especially the performance improvements of large language models (LLMs) introduced by training techniques such as instruction fine-tuning and reinforcement learning from human feedback.

SQL 101

SQL AWS Database Analytics 101

Mlearning.ai

FEBRUARY 24, 2023

Modelling the ordinal nature of the data WARNING: This is quite an extensive read, but I believe it is necessary to give you a good idea about the case. And about why modelling is all about tries and failures. Actually, quite a lot of tries and failures, and I want to showcase all of them because that is what modelling is about.

ML 52

ML ML Data Wrangling Algorithm 52