Many machine learning models perform better when input variables are carefully transformed or scaled prior to modeling. It is convenient,…
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Data Preparation for Machine Learning (7-Day Mini-Course)
Data preparation involves transforming raw data into a form that is more appropriate for modeling. Preparing data may be the…
Continue ReadingHow to Use StandardScaler and MinMaxScaler Transforms in Python
Many machine learning algorithms perform better when numerical input variables are scaled to a standard range. This includes algorithms that…
Continue ReadingHow to Use Polynomial Feature Transforms for Machine Learning
Often, the input features for a predictive modeling task interact in unexpected and often nonlinear ways. These interactions can be…
Continue ReadingHow to Scale Data With Outliers for Machine Learning
Last Updated on May 27, 2020Many machine learning algorithms perform better when numerical input variables are scaled to a standard…
Continue ReadingHow to Use Discretization Transforms for Machine Learning
Numerical input variables may have a highly skewed or non-standard distribution. This could be caused by outliers in the data,…
Continue ReadingLinear Discriminant Analysis for Dimensionality Reduction in Python
Last Updated on May 14, 2020Reducing the number of input variables for a predictive model is referred to as dimensionality…
Continue ReadingSingular Value Decomposition for Dimensionality Reduction in Python
Reducing the number of input variables for a predictive model is referred to as dimensionality reduction. Fewer input variables can…
Continue ReadingPrincipal Component Analysis for Dimensionality Reduction in Python
Reducing the number of input variables for a predictive model is referred to as dimensionality reduction. Fewer input variables can…
Continue ReadingHow to Choose a Feature Selection Method For Machine Learning
Last Updated on November 28, 2019Feature selection is the process of reducing the number of input variables when developing a…
Continue ReadingHow to Connect Model Input Data With Predictions for Machine Learning
Fitting a model to a training dataset is so easy today with libraries like scikit-learn. A model can be fit…
Continue ReadingHow to Perform Feature Selection with Categorical Data
Feature selection is the process of identifying and selecting a subset of input features that are most relevant to the…
Continue Reading3 Ways to Encode Categorical Variables for Deep Learning
Machine learning and deep learning models, like those in Keras, require all input and output variables to be numeric. This…
Continue ReadingAttention in Neural Networks
Let’s look at another example, “Post photos in your Dropbox folder to Instagram”. Compared to the previous one, here “Instagram”…
Continue ReadingUncovering what neural nets “see” with FlashTorch
The first feature visualisation technique I implemented is saliency maps. We’re going to look at it in more detail below,…
Continue ReadingAI For SEA Traffic Management: Modeling (Part 2/2)
Peaceful traffic near Angkor temples, CambodiaAI For SEA Traffic Management: Modeling (Part 2/2)Kilian TepBlockedUnblockFollowFollowingJun 17Also read: AI For SEA Traffic Management: Feature…
Continue ReadingBuild a Modern, Customized File Uploading User Interface in React with Plain CSS
Or which files have already been uploaded?In a previous tutorial (you can find it if you search my posts), I…
Continue ReadingIntroduction to Multilayer Neural Networks with TensorFlow’s Keras API
Introduction to Multilayer Neural Networks with TensorFlow’s Keras APILorraine LiBlockedUnblockFollowFollowingJun 11Learn how to build and train a multilayer perceptron using TensorFlow’s…
Continue ReadingAn Overview of Deep Learning Based Clustering Techniques
An Overview of Deep Learning Based Clustering TechniquesDivam GuptaBlockedUnblockFollowFollowingMar 7This post gives an overview of various deep learning based clustering…
Continue ReadingImplementing a Simple Auto-Encoder in Tensorflow
Peele using DeepFake to forge a video of Obama — Source: BuzzFeed, YouTubeImplementing a Simple Auto-Encoder in TensorflowEdoardo BarpBlockedUnblockFollowFollowingJun 7Generative Adversarial Networks…
Continue ReadingParallelising your Python Code
So your friend suggests that you and they take turns digging…Let's say it takes you 100 minutes to finish this…
Continue ReadingNeural Machine Translation
Neural Machine TranslationA guide to Neural Machine Translation using an Encoder Decoder structure with attention. Includes a detailed tutorial using…
Continue ReadingComposable Reactive UI — Preview
Well, he only concerns events, so we need something more powerful:h is like a Swiss knife: it’s able to configure…
Continue ReadingAn Introduction to Convolutional Neural Networks
A typical hidden layer in such a network might have 1024 nodes, so we’d have to train 150,528 x 1024…
Continue ReadingMath of Neural Networks — from scratch in Python
Math of Neural Networks — from scratch in PythonOmar AflakBlockedUnblockFollowFollowingNov 14, 2018Make your own machine learning library. Photo by Mathew Schwartz on UnsplashIn this post…
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