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MOMENT: A Foundation Model for Time Series Forecasting, Classification, Anomaly Detection
MOMENT: A Foundation Model for Time Series Forecasting, Classification, Anomaly Detection
A unified model that covers multiple time-series tasks
Nikos Kafritsas
Apr 26
Improving the Analysis of Object (or Cell) Counts with Lots of Zeros
Improving the Analysis of Object (or Cell) Counts with Lots of Zeros
An approach using hurdle and zero-inflated models with brms
Daniel Manrique-Castano
Apr 26
Latest
The Math Behind Recurrent Neural Networks
The Math Behind Recurrent Neural Networks
Dive into RNNs, the backbone of time series, understand their mathematics, implement them from scratch, and explore their applications
Cristian Leo
Apr 26
The Case for Python in Excel
The Case for Python in Excel
Features Needed to Make this A Compelling Solution
Jeff Braun
Apr 26
Robust One-Hot Encoding
Robust One-Hot Encoding
Production grade one-hot encoding Techniques in Python and R
Hans Christian Ekne
Apr 26
Temperature Scaling and Beam Search Text Generation in LLMs, for the ML-Adjacent
Temperature Scaling and Beam Search Text Generation in LLMs, for the ML-Adjacent
What “temperature” is, how it works, its relationship to the beam search heuristic, and where LLM output generation can still fail
Mike Cvet
Apr 26
A Simple Way for Downloading Hundreds of Clipped Satellite Images Without Retrieving the Entire…
A Simple Way for Downloading Hundreds of Clipped Satellite Images Without Retrieving the Entire…
Learn how to download a clipped Sentinel-2 image for any Area of Interest (AOI), Lake Tahoe here, with just 12 lines of script.
Mahyar Aboutalebi, Ph.D. 🎓
Apr 25
Relation Extraction with Llama3 Models
Relation Extraction with Llama3 Models
Enhanced relation extraction by fine-tuning Llama3–8B with a synthetic dataset created using Llama3–70B
Silvia Onofrei
Apr 25
Unleash Llama3 — How you can use the latest big-tech open-source LLM
Unleash Llama3 — How you can use the latest big-tech open-source LLM
This article discusses Llama3, the newest language model made available from Meta, and how you can run the model locally
Eivind Kjosbakken
Apr 25
Using Double Machine Learning and Linear Programming to optimise treatment strategies
Using Double Machine Learning and Linear Programming to optimise treatment strategies
Causal AI, exploring the integration of causal reasoning into machine learning
Ryan O'Sullivan
Apr 25
Hyperparameters Tuning with MLflow and Hydra Sweeps
Hyperparameters Tuning with MLflow and Hydra Sweeps
Learn how to build an efficient pipeline with Hydra and MLflow
Marcello Politi
Apr 25
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