newsletterOctober 30, 2026·Towards Data Science

Binning or Feature Selection: Which One Won Us an Insurance Hackathon?

For a year, we believed that supervised binning carried our winning entry to an insurance competition. After four seeds per arm and one shared feature set, the credit belongs elsewhere. The post Binning or Feature Selection: Which One Won Us an Insurance Hackathon? appeared first on Towards Data Sci

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•This story was reported by Towards Data Science, covering developments in the newsletter space.
•AI advancements continue to reshape industries — read the full article on Towards Data Science for complete coverage.

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Pick a Number Between 1 and 10

A viral tweet says LLMs pick 7 because of gradient descent. The math says it’s more interesting than that. The post Pick a Number Between 1 and 10 appeared first on Towards Data Science.

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Your Agent’s Tools Can Make Decisions, Too

Decision models as tools: a hands-on guide The post Your Agent’s Tools Can Make Decisions, Too appeared first on Towards Data Science.

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Claude Code Mods: Custom Hooks to Fix My Biggest AI Coding Frustrations

How I built four Claude Code mods to protect API keys, track plan progress, catch untested code, and monitor context usage — with 135 passing tests and up to 100× less overhead than traditional hooks — and why they can outperform traditional hooks. The post Claude Code Mods: Custom Hooks to Fix My B

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When Labels Say No, But Embeddings Say Yes

Why traditional retrieval metrics miss meaningful similarities The post When Labels Say No, But Embeddings Say Yes appeared first on Towards Data Science.

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Binning or Feature Selection: Which One Won Us an Insurance Hackathon?

Key Takeaways

Related Articles

Pick a Number Between 1 and 10

Your Agent’s Tools Can Make Decisions, Too

Claude Code Mods: Custom Hooks to Fix My Biggest AI Coding Frustrations

When Labels Say No, But Embeddings Say Yes

Discussion

Binning or Feature Selection: Which One Won Us an Insurance Hackathon?

Key Takeaways

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Pick a Number Between 1 and 10

Your Agent’s Tools Can Make Decisions, Too

Claude Code Mods: Custom Hooks to Fix My Biggest AI Coding Frustrations

When Labels Say No, But Embeddings Say Yes

Discussion

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Pick a Number Between 1 and 10
A viral tweet says LLMs pick 7 because of gradient descent. The math says it’s more interesting than that. The post Pick a Number Between 1 and 10 appeared first on Towards Data Science.

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Your Agent’s Tools Can Make Decisions, Too
Decision models as tools: a hands-on guide The post Your Agent’s Tools Can Make Decisions, Too appeared first on Towards Data Science.

Towards Data Science
Claude Code Mods: Custom Hooks to Fix My Biggest AI Coding Frustrations
How I built four Claude Code mods to protect API keys, track plan progress, catch untested code, and monitor context usage — with 135 passing tests and up to 100× less overhead than traditional hooks — and why they can outperform traditional hooks. The post Claude Code Mods: Custom Hooks to Fix My B

Towards Data Science
When Labels Say No, But Embeddings Say Yes
Why traditional retrieval metrics miss meaningful similarities The post When Labels Say No, But Embeddings Say Yes appeared first on Towards Data Science.