Cloud Native Data Science: Technology
Three key technology choices that must be answered before embarking on a Cloud Native Data Science project.
Dr. Phil Winder
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5 minMore articles
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Dr. Phil Winder
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5 min
Cloud Native Data Science: Strategy
These three strategic decisions will help you succeed in any Cloud Native Data Science project.
Dr. Phil Winder
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5 minLife and Death Decisions: Testing Data Science
Abstract We live in a world where decisions are being made by software. From mortgage applications to driverless vehicles, the results can be life-changing. But …
How to List all AMIs for each region in AWS
A script to list all the AMIs for a given name for every AWS region.
Dr. Phil Winder
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1 min
Principal Component Analysis
Where there are large numbers of features it becomes hard to visualise data and can cause problems with computational complexity. This python tutorial introduces dimensionality reduction and principal component analysis.
Distance Measures with Large Datasets
What to do when you need to perform a distance measure for a nearest neighbour like algorithm, but you have a large dataset?
603: Nearest Neighbour Tips and Tricks
Feature scaling and the type of distance metric used in nearest neighbour algorithms has a big effect on performance. This data science training video talks about this and other nearest neighbour tips and tricks.
602: Nearest Neighbour Classification and Regression
The nearest neighbour algorithm can also be used for classification and regression purposes. Find out how in this training video.
601: Similarity and Nearest Neighbours
The idea of similarity transcends problem boundaries. From recommendations to classification, learn how the nearest neighbour algorithm is not only useful but also very simple.
503: Visualising Overfitting in High Dimensional Problems
Often we can't visualise the decision boundary because there are too many dimensions. This training video shows you how to visualise overfitting when you have a high dimensional problem.
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