Remove Computer Science Remove Cross Validation Remove Decision Trees
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Meet the finalists of the Pushback to the Future Challenge

DrivenData Labs

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.

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Artificial Intelligence Using Python: A Comprehensive Guide

Pickl AI

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.

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Basic Data Science Terms Every Data Analyst Should Know

Pickl AI

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.

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Scaling Kaggle Competitions Using XGBoost: Part 4

PyImageSearch

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.