Results 191 to 200 of about 7,921,142 (232)

Machine Learning Algorithms: A Review

International Journal of Science and Research (IJSR), 2022
.
Ayon Dey
semanticscholar   +1 more source

Scikit-learn: Machine Learning in Python

Journal of machine learning research, 2011
Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems.
Fabian Pedregosa, G. Varoquaux, Alexandre Gramfort, V. Michel, B. Thirion, O. Grisel, Mathieu Blondel, Gilles Louppe, P. Prettenhofer, Ron Weiss, Ron J. Weiss, J. Vanderplas, Alexandre Passos, D. Cournapeau, M. Brucher, M. Perrot, E. Duchesnay   +16 more
semanticscholar   +1 more source

Machine Learning

2015
What the reader should know after reading in this chapter Supervised learning, Unsupervised learning, Semi-supervised learning, Reinforcement learning.
CAMASTRA, Francesco, Vinciarelli, Alessandro   +1 more
openaire   +2 more sources

Machine learning and learning from machines

The Leading Edge, 2018
Machine learning has been around for decades or, depending on your view, centuries. To consider the tools and underpinnings of machine learning, one would need to go back to the work of Bayes and Laplace, the derivation of least squares, and Markov chains, all of which form the basis and the probability construct used pervasively in machine learning ...
Ehsan Zabihi Naeini, Kenton Prindle
openaire   +1 more source

Machine Learning and Learning from Machines

Progress’19, 2019
Summary Deep learning has demonstrated tremendous success in a variety of application domains in the past few years, and with some new modalities of applications it continues to open new opportunities. We see applications of machine learning in our daily lives, stretching from familiar applications such as spam filters dating back to the 1990s to more ...
A. Kozhenkov, E.Z. Naeini, K. Prindle
openaire   +1 more source