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Han-co

Oct 28

[Basics] Part 10. Turning a score into a decision: connecting to the business, and communication

#machinelearning #datascience #jellyfin #career

6 min read

Umesh Tharuka Malaviarachchi

Oct 28

Mixture of Experts: Why Sparse Routing Scales Models Without Scaling Compute

#machinelearning #datascience #ai #deeplearning

7 min read

Umesh Tharuka Malaviarachchi

Oct 28

Double Descent: Why Bigger Models Can Generalise Better After Getting Worse

#machinelearning #datascience #ai #deeplearning

7 min read

Oct 27

The API Chose My Sampling Design

#api #data #datascience #machinelearning

6 min read

Prince

Oct 28

How I count repeated questions across 44 GTU exam papers (and what broke)

#python #datascience #beginners #education

5 min read

DataDaemon

Oct 28

How accurate is IPO GMP? We checked all 294 Indian IPOs listed in 2026

#india #finance #datascience #python

6 min read

Umesh Tharuka Malaviarachchi

Oct 28

Sharpness-Aware Minimization: Why Flat Minima Generalise Better Than Sharp Ones

#machinelearning #datascience #ai #deeplearning

8 min read

Atlas Data

Oct 27

Compare salaries and hiring across countries with Glassdoor job data and Python

#python #pandas #datascience #tutorial

8 min read

Oct 27

Spatial Cross-Validation When the Data Won’t Spread Out

#machinelearning #datascience #python

5 min read

Umesh Tharuka Malaviarachchi

Oct 27

Grokking: Why Neural Networks Suddenly Generalise Long After Memorising

#machinelearning #datascience #ai #deeplearning

9 min read

PlantCrawl

Oct 27

When tennis Elo and the market disagree: build a research shortlist, not a magic pick

#python #datascience #api #tutorial

5 min read

Daniel Oliveira

Oct 28

Is a buyback announcement a buy signal? I tracked 430 recent ones against SPY

#datascience #finance #investing #statistics

3 min read

OpenKrill

Oct 27

Link posts got 1.56x the views on X in week one: the post-age check

#datascience #twitter #analytics #python

4 min read

Oct 27

An economic calendar built only from official sources: the Fed, ECB, BLS, ONS and more in one table

#datascience #webscraping #api #fintech

2 min read

Oct 27

What 625,987 NHTSA complaints look like once you count them one way

#opendata #datascience #python #dataset

2 min read

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