For instance, data analysis problems may be compute-intensive or memory-intensive. For example, K-Means clustering algorithm in machine learning is a compute-intensive algorithm, while Word Count is ...

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on a "very tricky" machine learning technique. Data clustering is the process of grouping data items together so ...

Listing 1: Clustering with K-Means Program Structure # k_means.py # Anaconda 4.1.1 import numpy as np def mm_normalize(data): . . . def ... For many machine learning problems, using 32-bit floating ...

Learn Data Mining Through Excel provides a rich roster of supervised and unsupervised machine learning algorithms, including k-means clustering, k-nearest neighbor, naive Bayes classification, and ...

The new AI-powered algorithm analyses high-resolution microscope images of metal surfaces to assess two crucial indicators of ...

A single type of machine learning algorithm can be used to identify fake news, filter spam, and personalize marketing materials. Known as clustering algorithms, or “clustering” for short, they ...