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Towards Data Science
Jun 30, 2026
Surviving the Data Science Behavioral Interview
In the age of AI, standing out here means a lot more than ever. Here are three tips to walk into your next interview wit…
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Towards Data Science
Jun 25, 2026
Vector RAG Isn’t Enough — I Built a Context Graph Layer for Multi-Agent Memory
I benchmarked raw chat history, vector-only RAG, and a context graph on the same multi-agent conversations. The results …
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Towards Data Science
Jun 27, 2026
We Built a Routing Layer to Cut Our AI Costs. It Broke the Product.
A team cut their AI inference bill by more than half. Three months later, customer satisfaction was dropping and the cos…
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Towards Data Science
Jun 25, 2026
Beyond the Straight Line: Choosing Between OLS, Interaction Terms, and Tweedie Regression
Whether you should stick to a classic Ordinary Least Squares regression, introduce interaction terms, or pivot to a Twee…
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Towards Data Science
Jun 26, 2026
How to Ace Data and ML Behavioural Interviews
How to smash through data / ML behavioural interviews
The post How to Ace Data and ML Behavioural Interviews appeared fi…
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ML Mastery
Jun 22, 2026
Building Browser-Using AI Agents in Python
Most AI agent tutorials start with an API.…
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ML Mastery
Jun 29, 2026
Model Context Protocol Explained in 3 Levels of Difficulty
MCP provides a standard way for AI applications and external systems to communicate.…
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Towards Data Science
Jun 30, 2026
Stop Choosing Between Local and Cloud LLMs: A Field Guide to Hybrid Patterns
A hands-on walkthrough of a hybrid local-cloud workflow using Gemma 4 and GPT-5.4, with reasoning and structured outputs…
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