Big Data Machine Learning & AI
Data Science – Lag Features
A time series is a collection of values corresponding to known points in time, e.g.,...
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Big Data Machine Learning & AI
Imbalanced Data
Data analysis can often involve the equivalent of looking for a needle in a haystack...
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Big Data Machine Learning & AI
Gradient Boosted Trees
In addition to random forests, another popular tree-based ensemble model is Gradient Boosted Trees. The...
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Big Data Machine Learning & AI
Random Forests
A decision tree is a simple classification algorithm. For a given data point, it starts...
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Big Data Machine Learning & AI
When to use Machine Learning
Machine Learning (ML) and Artificial Intelligence (AI) are at the forefront of many technologies. ML...
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Big Data Machine Learning & AI
Stochastic Process Simulations and Variability Analysis
Stochastic Process Simulations and Variability Analysis In addition to knowing how inputs affect the average...
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Big Data Machine Learning & AI
Data Science – Non-parametric Regression
This post was originally published in two parts which have been combined below. Part 1...
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Big Data Machine Learning & AI
Data Analysis – Understanding Uncertainty
In data analysis, understanding uncertainty is key. Inherent variability in physical processes, and the uncertainty...
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Big Data Machine Learning & AI
Shapley Values
How to understand a model To better interpret machine learning (ML) models, we can use...
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Big Data Machine Learning & AI
Model Interpretability
Why should you trust predictions made by a machine? Frequently machine learning (ML) models are...
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Big Data Machine Learning & AI
Machine Learning for Banking – Case Study
This case study covers our unchurn tool, a Machine Learning customer churn prediction tool for...
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Big Data Machine Learning & AI
Convolutional neural networks
Convolutional neural networks (ConvNets) are routinely used in image recognition, with state-of-the-art performance for object...
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