Data Science and Machine Learning

David Miller


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I’m a data scientist / ML engineer working in London. I started by learning SQL, then C# and .NET, and soon became a quant researcher and assistant portfolio manager on an equity investment team. I've recently taken a break to complete an MSc Machine Learning degree with UCL, and now mostly code in Python, making use of libraries like Pytorch, Numpy, Pandas, Matplotlib, and Scikit-Learn.

Home Agricultural Approaches Finding The Words Illustrating The Point About

October 01, 2020

Poisoned Datasets and Machine Learning Models

Illustrating The Point
Python
Machine Learning
Outlier Detection
Visualisation
FashionMNIST
CNNs
K-Means
t-SNE
pytorch
scikit-learn
matplotlib

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September 30, 2020

UK House Price Modelling - a) Data Gathering and Visualisation

Illustrating The Point
Python
Visualisation
Geospatial
pandas
geopandas
matplotlib

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March 24, 2019

Stop Words and NLP Cluster Visualisations with Python

Finding The Words
Python
Natural Language Processing
Unsupervised Learning
k-Means Clustering
Word Clouds
Cluster Quality

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March 15, 2019

UK House Price Visualisation in F#

Illustrating The Point
F#
Visualisation

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January 25, 2019

Word Roots and Associations in Vectorised NLP with Python

Finding The Words
Python
Numpy
Natural Language Processing
Unsupervised Learning
k-Means Clustering
NewsAPI

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July 23, 2018

RSS and Simple Natural Language Processing in R

Finding The Words
R
Natural Language Processing
Unsupervised Learning
k-Means Clustering
RSS

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June 23, 2018

Visualising Simple Datasets in FSharp

Agricultural Approaches
FSharp
Visualisation

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June 09, 2018

World Bank Data in FSharp

Agricultural Approaches
FSharp
WorldBank API

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