newsletterOctober 8, 2026·Towards Data Science

AI Engineers, Applied Scientists, Forward Deployed Engineers: Let's Unpack.

An exploration of the new data science roles emerging after the Large Language Model explosion. The post AI Engineers, Applied Scientists, Forward Deployed Engineers: Let's Unpack. appeared first on Towards Data Science.

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•An exploration of the new data science roles emerging after the Large Language Model explosion. The post AI Engineers, Applied Scientists, Forward Deployed Engineers: Let's Unpack
•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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Your Model's MSE Is Lying to You III: Time Series Diffusion

A diffusion head for probabilistic time series forecasting: why a forecast can get the mean and the variance right and still describe a future that never happens, and how to fix it. The post Your Model's MSE Is Lying to You III: Time Series Diffusion appeared first on Towards Data Science.

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How Wrong Is Your Marketing Mix Model (MMM)?

A well-built MMM can still be wrong, because the spend it learns from never held the information it needs. This article tests whether changing when you spend, not how much, can fix that. The post How Wrong Is Your Marketing Mix Model (MMM)? appeared first on Towards Data Science.

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Introduction to Reinforcement Learning: Multi-Armed Bandit Simulation in Python

When machines learn by themselves The post Introduction to Reinforcement Learning: Multi-Armed Bandit Simulation in Python appeared first on Towards Data Science.

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The Consistency Quadrant: A Visual Guide to LLM Reliability

Mapping structural variance against execution outputs to estimate coding agent reliability without ground truth. The post The Consistency Quadrant: A Visual Guide to LLM Reliability appeared first on Towards Data Science.

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AI Engineers, Applied Scientists, Forward Deployed Engineers: Let's Unpack.

Key Takeaways

Related Articles

Your Model's MSE Is Lying to You III: Time Series Diffusion

How Wrong Is Your Marketing Mix Model (MMM)?

Introduction to Reinforcement Learning: Multi-Armed Bandit Simulation in Python

The Consistency Quadrant: A Visual Guide to LLM Reliability

Discussion

AI Engineers, Applied Scientists, Forward Deployed Engineers: Let's Unpack.

Key Takeaways

Related Articles

Your Model's MSE Is Lying to You III: Time Series Diffusion

How Wrong Is Your Marketing Mix Model (MMM)?

Introduction to Reinforcement Learning: Multi-Armed Bandit Simulation in Python

The Consistency Quadrant: A Visual Guide to LLM Reliability

Discussion

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Your Model's MSE Is Lying to You III: Time Series Diffusion
A diffusion head for probabilistic time series forecasting: why a forecast can get the mean and the variance right and still describe a future that never happens, and how to fix it. The post Your Model's MSE Is Lying to You III: Time Series Diffusion appeared first on Towards Data Science.

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How Wrong Is Your Marketing Mix Model (MMM)?
A well-built MMM can still be wrong, because the spend it learns from never held the information it needs. This article tests whether changing when you spend, not how much, can fix that. The post How Wrong Is Your Marketing Mix Model (MMM)? appeared first on Towards Data Science.

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Introduction to Reinforcement Learning: Multi-Armed Bandit Simulation in Python
When machines learn by themselves The post Introduction to Reinforcement Learning: Multi-Armed Bandit Simulation in Python appeared first on Towards Data Science.

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The Consistency Quadrant: A Visual Guide to LLM Reliability
Mapping structural variance against execution outputs to estimate coding agent reliability without ground truth. The post The Consistency Quadrant: A Visual Guide to LLM Reliability appeared first on Towards Data Science.