ML @ CMU

NOVEMBER 7, 2024

In close collaboration with the UN and local NGOs, we co-develop an interpretable predictive tool for landmine contamination to identify hazardous clusters under geographic and budget constraints, experimentally reducing false alarms and clearance time by half. Validation results in Colombia. RELand is our interpretable IRM model.

Clustering 154

Clustering Cross Validation Machine Learning Machine Learning 154

Data Science Dojo

AUGUST 19, 2024

This is used for tasks like clustering, dimensionality reduction, and anomaly detection. For example, clustering customers based on their purchase history to identify different customer segments. Read more about 10 highest paying AI jobs in 2024 What are some common evaluation metrics for classification and regression problems?

AI 363

AI AI Machine Learning Machine Learning 363

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.

Cross Validation 147

Cross Validation Machine Learning Machine Learning ML 147

Pickl AI

SEPTEMBER 17, 2024

Clustering algorithms, such as K-Means and DBSCAN, are common examples of unsupervised learning techniques. The goal in Machine Learning is to find a balance between bias and variance by choosing an appropriate model complexity and using techniques such as regularisation and cross-validation.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 52

DagsHub

APRIL 21, 2024

Best MLOps Tools & Platforms for 2024 In this section, you will learn about the top MLOps tools and platforms that are commonly used across organizations for managing machine learning pipelines. Data storage and versioning Some of the most popular data storage and versioning tools are Git and DVC.

Machine Learning 59

Machine Learning Machine Learning ML ML 59

Pickl AI

NOVEMBER 28, 2024

billion in 2024, at a CAGR of 10.7%. Key techniques in unsupervised learning include: Clustering (K-means) K-means is a clustering algorithm that groups data points into clusters based on their similarities. This growth signifies Python’s increasing role in ML and related fields. billion in 2023 to $181.15

Machine Learning 52

Machine Learning Machine Learning ML ML 52