Glasseye - Machine learning, data science and statistics
Simon RaperA monthly newsletter on machine learning, data science and statistics, written for the people who need to make it work.
| Platform |  | Pricing | Only free issues | Publishes | Monthly |
|---|---|---|---|---|---|
| Issues | 33 | Founded | 3 years ago | Last Issue | 13 days ago |
| Active | |||||
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glasseye.inkLatest Issues
Glasseye
Escape the AI hype storm in this month’s probability-filled issue:
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The dunghill asks why prediction so rarely lives up to its promise.
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Satisfy your cravings with a complete theory of choice in the white stuff.
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Semi-supervise...
Glasseye
In this month’s issue:
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The white stuff climbs the ladder of abstraction in search of intelligible graphs.
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Strange new bullshit for the post-LLM world in the dunghill.
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Semi-supervised ponders the impossibility of a jig econom...
Glasseye
In this month’s issue:
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The white stuff talks to UCL’s Sam Livingstone about using LLMs for mathematics and about the future of computational statistics.
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The confusion behind data fusion in this month’s dunghill.
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Semi-supervi...
Glasseye
In this month’s issue:
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The dunghill scoops the goop in “marketing science” by comparing it to the wellness industry.
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The Royal Society’s Transactions puts some rigour into data science. The white stuff is impressed.
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Semi-s...
Glasseye
In this month’s issue:
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Writing is thinking, reading is thinking, coding is thinking. Ada knew it. You should too. The white stuff sets things straight.
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Semi-supervised explains how to solve the scrappiest of problems by maximisi...
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Authors
The writers behind this newsletter.
I am an RSS accredited statistician with over 20 years’ experience working in data science and artificial intelligence and many more in coding and software development.
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