Categories: AI/ML Research

Time-Series Transformation Toolkit: Feature Engineering for Predictive Analytics

In time series analysis and forecasting , transforming data is often necessary to uncover underlying patterns, stabilize properties like variance, and improve the performance of predictive models.
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Having Fun with Ai

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13 hours ago

Datasets for Training a Language Model

A good language model should learn correct language usage, free of biases and errors.

13 hours ago

Everyone can now fly their own drone.

TL;DR Using Google’s new Veo 3.1 video model, we created a breathtaking 1 minute 40…

13 hours ago

CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target for Better Flow Matching

Conditional generative modeling aims to learn a conditional data distribution from samples containing data-condition pairs.…

13 hours ago

Announcing BigQuery-managed AI functions for better SQL

For decades, SQL has been the universal language for data analysis, offering access to analytics…

13 hours ago