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41554 blogs · [ { "id": "01a0878a-9994-722f-9e61-fefc7a1b8a3f", "title": "AxeDB: Guitar Pricing Intelligence", "url": "https://jamesrledoux.com/projects/axedb-guitar-site/", "published_at": "2026-03-23T00:00:00+00:00" }, { "id": "01a0878a-9994-722f-9e61-fefc7b00af33", "title": "Multi-Armed Bandits in Python: Epsilon Greedy, UCB1, Bayesian UCB, and EXP3", "url": "https://jamesrledoux.com/algorithms/bandit-algorithms-epsilon-ucb-exp-python/", "published_at": "2020-03-24T00:00:00+00:00" }, { "id": "01a0878a-9994-722f-9e61-fefc7bf7aa67", "title": "Offline Evaluation of Multi-Armed Bandit Algorithms in Python using Replay", "url": "https://jamesrledoux.com/algorithms/offline-bandit-evaluation/", "published_at": "2020-01-20T00:00:00+00:00" }, { "id": "01a0878a-9994-722f-9e61-fefc7c8200b7", "title": "Understanding the AdTech Auctions in Your Browser: an Analysis of 30,000 Prebid.js Auctions", "url": "https://jamesrledoux.com/projects/prebid-analysis/", "published_at": "2019-07-28T00:00:00+00:00" }, { "id": "01a0878a-9994-722f-9e61-fefc7d63fb9d", "title": "Predicting The Shift: Boosting and Bagging for Strategic Infield Positioning", "url": "https://jamesrledoux.com/projects/predicting-the-shift/", "published_at": "2018-09-30T00:00:00+00:00" }, { "id": "01a0878a-9994-722f-9e61-fefc7db9c18e", "title": "Visualizing MLB Team Rankings with ggplot2 and Bump Charts", "url": "https://jamesrledoux.com/visualization/mlb-rankings/", "published_at": "2018-08-05T00:00:00+00:00" }, { "id": "01a0878a-9994-722f-9e61-fefc7e30e2a3", "title": "On Draft Pick Value, the New Lottery, and Tanking", "url": "https://jamesrledoux.com/projects/nba-draft/", "published_at": "2017-11-30T00:00:00+00:00" }, { "id": "01a0878a-9994-722f-9e61-fefc7f18d923", "title": "A Statcast Tribute to Baseball’s Strangest Pitch: the Eephus", "url": "https://jamesrledoux.com/projects/eephus/", "published_at": "2017-11-14T00:00:00+00:00" }, { "id": "01a0878a-9994-722f-9e61-fefc7f7346f2", "title": "Leaving MLB: Lessons Learned in my First Data Science Role", "url": "https://jamesrledoux.com/data-science/mlb-stats/", "published_at": "2017-08-14T00:00:00+00:00" }, { "id": "01a0878a-9995-701f-ab1a-53af1697b9ca", "title": "Introducing pybaseball: an Open Source Package for Baseball Data Analysis", "url": "https://jamesrledoux.com/projects/open-source/introducing-pybaseball/", "published_at": "2017-07-27T00:00:00+00:00" } ] posts Claim your blog
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2026

AxeDB: Guitar Pricing Intelligenceoriginal ↗
23 Mar 2026

2020

Multi-Armed Bandits in Python: Epsilon Greedy, UCB1, Bayesian UCB, and EXP3original ↗
24 Mar 2020
Offline Evaluation of Multi-Armed Bandit Algorithms in Python using Replayoriginal ↗
20 Jan 2020

2019

Understanding the AdTech Auctions in Your Browser: an Analysis of 30,000 Prebid.js Auctionsoriginal ↗
28 Jul 2019

2018

Predicting The Shift: Boosting and Bagging for Strategic Infield Positioningoriginal ↗
30 Sept 2018
Visualizing MLB Team Rankings with ggplot2 and Bump Chartsoriginal ↗
5 Aug 2018

2017

On Draft Pick Value, the New Lottery, and Tankingoriginal ↗
30 Nov 2017
A Statcast Tribute to Baseball’s Strangest Pitch: the Eephusoriginal ↗
14 Nov 2017
Leaving MLB: Lessons Learned in my First Data Science Roleoriginal ↗
14 Aug 2017
Introducing pybaseball: an Open Source Package for Baseball Data Analysisoriginal ↗
27 Jul 2017