Remove 2024 Remove Clustering Remove Cross Validation
article thumbnail

Identification of Hazardous Areas for Priority Landmine Clearance: AI for Humanitarian Mine Action

ML @ CMU

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.

article thumbnail

Top 17 trending interview questions for AI Scientists

Data Science Dojo

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 195
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

15 Essential Artificial Intelligence Interview Questions for 2024

Pickl AI

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.

article thumbnail

How to Choose MLOps Tools: In-Depth Guide for 2024

DagsHub

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.

article thumbnail

Must-Have Skills for a Machine Learning Engineer

Pickl AI

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