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The Secret Engine of Data Science: Why You Can't Ignore Statistics
jason_ndalamia profile

The Secret Engine of Data Science: Why You Can't Ignore Statistics

#machinelearning #datascience #statistics #learning
1
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9 min read
68 public trading strategies: 12 declare a trial count, 0 report a Sharpe
straud_dev profile

68 public trading strategies: 12 declare a trial count, 0 report a Sharpe

#python #datascience #statistics #finance
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6 min read
The Observed Maximum Is Not the Structural Maximum: Set a Compliance Gate's Budget from Code, Not from Three Samples
hexisteme profile
John

The Observed Maximum Is Not the Structural Maximum: Set a Compliance Gate's Budget from Code, Not from Three Samples

#ai #testing #softwareengineering #statistics
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6 min read
NFL playoff odds after Week 1 (2026): why my Monte Carlo model barely trusts a 31-10 win
commodus67 profile

NFL playoff odds after Week 1 (2026): why my Monte Carlo model barely trusts a 31-10 win

#datascience #statistics #sports #api
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5 min read
Forecasting the NFL GOAT QB with Artificial Intelligence: The 2026 Update
bartczernicki profile

Forecasting the NFL GOAT QB with Artificial Intelligence: The 2026 Update

#ai #genai #openai #statistics
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8 min read
A/B testing: how to test your test
4thwithme profile

A/B testing: how to test your test

#abtesting #statistics #datascience #management
Comments 2
6 min read
NBA play-in odds are not playoff odds: simulating the play-in tournament instead of guessing it
commodus67 profile

NBA play-in odds are not playoff odds: simulating the play-in tournament instead of guessing it

#datascience #statistics #sports #simulation
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5 min read
NHL playoff odds for 2026-27: 84 games, the wild card rule, and why I don't trust my own model in September
commodus67 profile

NHL playoff odds for 2026-27: 84 games, the wild card rule, and why I don't trust my own model in September

#datascience #statistics #sports #simulation
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5 min read
Correct score, BTTS and Over/Under probabilities with Dixon-Coles: what I learned building it for MLS and Liga MX
commodus67 profile

Correct score, BTTS and Over/Under probabilities with Dixon-Coles: what I learned building it for MLS and Liga MX

#datascience #statistics #sports #api
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5 min read
Who gets rated higher: age, age gap and the reciprocity myth - from 24 million ratings
temer profile

Who gets rated higher: age, age gap and the reciprocity myth - from 24 million ratings

#datascience #analytics #sql #statistics
Comments 1
4 min read
A/B testing: when the standard test is the wrong tool
4thwithme profile

A/B testing: when the standard test is the wrong tool

#abtesting #statistics #datascience #experimentation
1
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7 min read
Building a Real-Time Price Anomaly Detector with Python, SerpApi, and Robust Statistics
ssebina_charles_01 profile

Building a Real-Time Price Anomaly Detector with Python, SerpApi, and Robust Statistics

#python #machinelearning #statistics #tutorial
1
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11 min read
5 ML Math Concepts I Stopped Memorizing (And Started Actually Using)
vicarioy profile
Victor

5 ML Math Concepts I Stopped Memorizing (And Started Actually Using)

#machinelearning #mlmath #linearalgebra #statistics
1
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3 min read
Does Market Fear Actually Predict Trader Losses? I Tested It With Real Hyperliquid Data
veduco profile

Does Market Fear Actually Predict Trader Losses? I Tested It With Real Hyperliquid Data

#datascience #python #trading #statistics
1
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4 min read
The Fill Model Is Where Backtests Quietly Cheat
tradevodata profile

The Fill Model Is Where Backtests Quietly Cheat

#python #trading #datascience #statistics
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4 min read
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