Towards AI

NOVEMBER 6, 2024

Last Updated on November 6, 2024 by Editorial Team Author(s): Talha Nazar Originally published on Towards AI. This story explores CatBoost, a powerful machine-learning algorithm that handles both categorical and numerical data easily. CatBoost is a powerful, gradient-boosting algorithm designed to handle categorical data effectively.

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Flipboard

JUNE 6, 2025

Identify top-performing algorithms based on accuracy, F1 score, or RMSE. The code below will: Run 15+ models Evaluate them with cross-validation Return the best one based on performance All in two lines of code. Picking the wrong model early can derail your project. Automation lets you: Compare dozens of models instantly.

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Data Science Dojo

AUGUST 19, 2024

They dive deep into artificial neural networks, algorithms, and data structures, creating groundbreaking solutions for complex issues. Describe the backpropagation algorithm and its role in neural networks. Backpropagation is an algorithm used to train neural networks. What are some ethical considerations in AI development?

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Ocean Protocol

NOVEMBER 28, 2024

Introduction The Formula 1 Prediction Challenge: 2024 Mexican Grand Prix brought together data scientists to tackle one of the most dynamic aspects of racing — pit stop strategies. Firepig refined predictions using detailed feature engineering and cross-validation.

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DrivenData Labs

JANUARY 22, 2025

Solvers first developed their solutions on historical data in the Hindcast Stage, which concluded in spring 2024. This blog post presents the winners of all remaining stages: Forecast Stage where models made near-real-time forecasts for the 2024 forecast season. Diagram showing the timeline of the challenge with its different stages.

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DrivenData Labs

MAY 22, 2024

Results of the Hindcast Stage ¶ The Water Supply Forecast Rodeo is being held over multiple stages from October 2023 through July 2024. Gradient-boosted trees were popular modeling algorithms among the teams that submitted model reports, including the first- and third-place winners. Image courtesy of USBR.

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ODSC - Open Data Science

OCTOBER 24, 2023

Then, how to essentially eliminate training, thus speeding up algorithms by several orders of magnitude? My NoGAN algorithm, probably for the first time, comes with the full multivariate KS distance to evaluate results. He is the author of multiple books, including “Synthetic Data and Generative AI” (Elsevier, 2024).

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