/explore
|
You are here 
|
blog.quipu-strands.com | ||
| | | | |
www.oranlooney.com
|
|
| | | | | [AI summary] The article discusses unsupervised learning, focusing on the Gaussian Mixture Model (GMM) and the Expectation-Maximization (EM) algorithm. It explains how GMM uses the EM algorithm to cluster data without labeled examples, and demonstrates its application on the Iris dataset. While GMM successfully finds clusters, the agreement with true labels is only 96% for one random seed, with variability across trials. The article highlights the limitations of unsupervised learning, including arbitrary complexity parameters, lack of hard metrics, and subjective model interpretation. It concludes that unsupervised learning is valuable for exploratory analysis and representation learning but requires more expertise and domain input compared to supervised met... | |
| | | | |
resources.paperdigest.org
|
|
| | | | | The Conference on Neural Information Processing Systems (NIPS) is one of the top machine learning conferences in the world. Paper Digest Team analyze all papers published on NIPS in the past years, and presents the 15 most influential papers for each year. This ranking list is automatically construc | |
| | | | |
francisbach.com
|
|
| | | | | [AI summary] This text discusses the scaling laws of optimization in machine learning, focusing on asymptotic expansions for both strongly convex and non-strongly convex cases. It covers the derivation of performance bounds using techniques like Laplace's method and the behavior of random minimizers. The text also explains the 'weird' behavior observed in certain plots, where non-strongly convex bounds become tight under specific conditions. The analysis connects theoretical results to practical considerations in optimization algorithms. | |
| | | | |
yasoob.me
|
|
| | | Hey guys! I recently wrote a review paper regarding the use of Machine Learning in Remote Sensing. I thought that some of you might find it interesting and insightful. It is not strictly a Python focused research paper but is interesting nonetheless. Introduction to Machine Learning and its Usage in Remote Sensing 1. Introduction Machines have allowed us to do complex computations in short amounts of time. This has given rise to an entirely different area of research which was not being explored: teachin... | ||
