#gan #overview https://machinelearningmastery.com/resources-for-getting-started-with-generative-adversarial-networks/
MachineLearningMastery.com
Best Resources for Getting Started With GANs - MachineLearningMastery.com
Generative Adversarial Networks, or GANs, are a type of deep learning technique for generative modeling. GANs are the techniques behind the startlingly photorealistic generation of human faces, as well as impressive image translation tasks such as photo colorization…
#ds #ml #r #algorithms #overview
https://www.r-bloggers.com/101-machine-learning-algorithms-for-data-science-with-cheat-sheets/
https://www.r-bloggers.com/101-machine-learning-algorithms-for-data-science-with-cheat-sheets/
R-bloggers
101 Machine Learning Algorithms for Data Science with Cheat Sheets
<div style = "width:60%; display: inline-block; float:left; "> Your one-stop-shop for machine learning algorithms. Each algorithm is complete with a short description and links to examples. If you would like to take the algorithms with you, click the little…
#ds #timeseries #stationarity #overview
https://towardsdatascience.com/detecting-stationarity-in-time-series-data-d29e0a21e638
https://towardsdatascience.com/detecting-stationarity-in-time-series-data-d29e0a21e638
Medium
Detecting stationarity in time series data
In this post I’ll cover several ways to determine whether your data is stationary, which is crucial for many tools in time series analysis.
#ml #nn #dl #notes #overview
https://createmomo.github.io/2018/01/23/Super-Machine-Learning-Revision-Notes/
https://createmomo.github.io/2018/01/23/Super-Machine-Learning-Revision-Notes/
CreateMoMo
Super Machine Learning Revision Notes
[Last Updated: 06/01/2019]This article aims to summarise: basic concepts in machine learning (e.g. gradient descent, back propagation etc.) different algorithms and various popular models some practi
#ml #dl #nn #cnn #architectures #overview
https://towardsdatascience.com/architecture-comparison-of-alexnet-vggnet-resnet-inception-densenet-beb8b116866d
https://towardsdatascience.com/architecture-comparison-of-alexnet-vggnet-resnet-inception-densenet-beb8b116866d
Medium
Architecture comparison of AlexNet, VGGNet, ResNet, Inception, DenseNet
Layers Description with Hyperparameter and accuracy in ILSVRC Challenge results
#dl #python #tools #datatable #overview
https://towardsdatascience.com/speed-up-your-data-analysis-with-pythons-datatable-package-56e071a909e9
https://towardsdatascience.com/speed-up-your-data-analysis-with-pythons-datatable-package-56e071a909e9
Medium
Speed up your Data Analysis with Python’s Datatable package
A while ago, I did a write up on Python’s Datatable library. The article was an overview of the datatable package whose focus is on big…
#time_series #tool #prophet #overview
https://medium.com/artefact-engineering-and-data-science/is-facebook-prophet-suited-for-doing-good-predictions-in-a-real-world-project-44be1fe4ce91
https://medium.com/artefact-engineering-and-data-science/is-facebook-prophet-suited-for-doing-good-predictions-in-a-real-world-project-44be1fe4ce91
Medium
Is Facebook Prophet suited for doing good predictions in a real-world project?
This guide will help you figure whether Prophet is appropriate or not for your forecasting project
#ml #clustering #sklearn #overview
https://machinelearningmastery.com/clustering-algorithms-with-python/
https://machinelearningmastery.com/clustering-algorithms-with-python/
MachineLearningMastery.com
10 Clustering Algorithms With Python - MachineLearningMastery.com
Clustering or cluster analysis is an unsupervised learning problem. It is often used as a data analysis technique for discovering interesting patterns in data, such as groups of customers based on their behavior. There are many clustering algorithms to choose…