DrivenData Labs

MAY 24, 2023

Several additional approaches were attempted but deprioritized or entirely eliminated from the final workflow due to lack of positive impact on the validation MAE. He is interested in researching human cognition and computational methods for modeling the brain. Her primary interests lie in theoretical machine learning.

Machine Learning 225

Machine Learning Machine Learning Data Science Decision Trees 225

Pickl AI

JULY 12, 2024

Natural Language Processing (NLP) This is a field of computer science that deals with the interaction between computers and human language. Computer Vision This is a field of computer science that deals with the extraction of information from images and videos.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

PyImageSearch

JANUARY 23, 2023

The reasoning behind that is simple; whatever we have learned till now, be it adaptive boosting, decision trees, or gradient boosting, have very distinct statistical foundations which require you to get your hands dirty with the math behind them. Or requires a degree in computer science? That’s not the case.

Deep Learning 109

Deep Learning Deep Learning Algorithm Decision Trees 109

Pickl AI

SEPTEMBER 12, 2024

Artificial Intelligence (AI): A branch of computer science focused on creating systems that can perform tasks typically requiring human intelligence. Cross-Validation: A model evaluation technique that assesses how well a model will generalise to an independent dataset.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

DrivenData Labs

MAY 1, 2025

I studied Computer Science and really enjoyed the AI space, although hardware resources were always limited, which shaped my push to always simplify. Summary of approach: I used LightGBM decision tree algorithm to predict the difference between test participants scores from different years.

Decision Trees 147

Decision Trees Clustering Algorithm Machine Learning 147