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Tales of Science and Data
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The meta on all this
Beautiful web of data science
Probability, statistics and data analysis
Probability, its interpretation, and statistics
Foundational concepts on distribution and measures
Hypothesis testing
Methods, theorems & laws
Notable brain teasers, paradoxes and how to be careful with data
Machine Learning: concepts & procedures
Overview of the field
Learning algorithms
Feature building and modelling techniques
Dimensionality reduction and matrix factorisation
Machine Learning: fundamental algorithms
Learning paradigms
Supervised learning
Unsupervised learning
Machine Learning: model assessment
Generic problems models can have
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Artificial neural networks
Overview of neural networks
Types of neurons and networks
Natural language processing
General concepts & tasks in NLP
Manipulating text and extracting information
Parsing, POS tagging and stemming text
Information extraction
Topic Modelling
Word Embeddings
Computer vision
Intro: quantifying images & some glossary
Processing an image
What's in an image
The computer science appendix
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Some geometry
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Manipulating text and extracting information
What do we do on text to understand what's in it and how it's structured? How do we recognise that a word indicates a country, say?
Contents
Parsing, POS tagging and stemming text
Information extraction
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Text as numerical features
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Parsing, POS tagging and stemming text
Last modified
2yr ago
