corpus.blog
41554 blogs · [ { "id": "01a0d8fb-5a18-73c0-a71f-c4a1d57304dc", "title": "XGBoost Regression Example Using Python", "url": "https://jamesmccaffreyblog.com/2026/09/25/xgboost-regression-example-using-python/", "published_at": "2026-09-25T10:30:13+00:00" }, { "id": "01a0d8fb-5a18-73c0-a71f-c4a1d5c3966d", "title": "Three Different Closed-Form Training Techniques for Linear Regression", "url": "https://jamesmccaffreyblog.com/2026/09/24/three-different-closed-form-training-techniques-for-linear-regression/", "published_at": "2026-09-24T10:30:27+00:00" }, { "id": "01a0d8fb-5a18-73c0-a71f-c4a1d6abf1ce", "title": "NFL 2026 Week 3 Predictions – Zoltar Likes Four Vegas Underdogs", "url": "https://jamesmccaffreyblog.com/2026/09/23/nfl-2026-week-3-predictions-zoltar-likes-four-vegas-underdogs/", "published_at": "2026-09-23T10:30:05+00:00" }, { "id": "01a0d8fb-5a18-73c0-a71f-c4a1d7346b31", "title": "Why I (Almost) Never Use Software OOP Inheritance", "url": "https://jamesmccaffreyblog.com/2026/09/22/why-i-almost-never-use-software-oop-inheritance/", "published_at": "2026-09-22T10:29:11+00:00" }, { "id": "01a0d8fb-5a18-73c0-a71f-c4a1d7bb5546", "title": "Neural Network Bistratum Regression From Scratch Using C#", "url": "https://jamesmccaffreyblog.com/2026/09/21/neural-network-bistratum-regression-from-scratch-using-csharp/", "published_at": "2026-09-21T10:30:18+00:00" }, { "id": "01a0baa1-6f3b-7125-8f63-6ff00a614bbd", "title": "Neural Network Bistratum Regression IO Using C#", "url": "https://jamesmccaffreyblog.com/2026/09/18/neural-network-bistratum-regression-io-using-csharp/", "published_at": "2026-09-18T10:30:11+00:00" }, { "id": "01a0baa1-6f3b-7125-8f63-6ff00af79d94", "title": "For Someone Special", "url": "https://jamesmccaffreyblog.com/2026/09/17/for-someone-special/", "published_at": "2026-09-18T05:59:34+00:00" }, { "id": "01a0baa1-6f3b-7125-8f63-6ff00b3e75e8", "title": "“The AI Productivity Paradox” on the Pure AI Web Site", "url": "https://jamesmccaffreyblog.com/2026/09/17/the-ai-productivity-paradox-on-the-pure-ai-web-site/", "published_at": "2026-09-17T10:30:25+00:00" }, { "id": "01a0baa1-6f3b-7125-8f63-6ff00b617a2b", "title": "NFL 2026 Week 2 Predictions – Zoltar Likes the Underdog Falcons Against the Panthers", "url": "https://jamesmccaffreyblog.com/2026/09/16/nfl-2026-week-2-predictions-zoltar-likes-the-underdog-falcons-against-the-panthers/", "published_at": "2026-09-16T10:30:46+00:00" }, { "id": "01a0baa1-6f3b-7125-8f63-6ff00be31590", "title": "I Use AI to Improve My Decision Tree Regression Using From-Scratch Python", "url": "https://jamesmccaffreyblog.com/2026/09/15/i-use-ai-to-improve-my-decision-tree-regression-using-from-scratch-python/", "published_at": "2026-09-15T10:30:19+00:00" }, { "id": "01a0baa1-6f3b-7125-8f63-6ff00c802a85", "title": "Implementing a Coefficient of Determination (R2) Function Using C#", "url": "https://jamesmccaffreyblog.com/2026/09/14/implementing-a-coefficient-of-determination-r2-function-using-csharp/", "published_at": "2026-09-14T10:30:25+00:00" }, { "id": "01a0950c-a964-72f9-8fbe-3772995f0d12", "title": "AdaBoost.R2 Regression with Blind Tree Learners Using C#", "url": "https://jamesmccaffreyblog.com/2026/09/11/adaboost-r2-regression-with-blind-tree-learners-using-csharp/", "published_at": "2026-09-11T10:30:19+00:00" }, { "id": "01a08caf-7a04-725c-919b-8f1c33992887", "title": "“Quadratic Regression with QR-Householder OLS Solve Training Using C#” in Visual Studio Magazine", "url": "https://jamesmccaffreyblog.com/2026/09/10/quadratic-regression-with-qr-householder-ols-solve-training-using-csharp-in-visual-studio-magazine/", "published_at": "2026-09-10T10:30:59+00:00" }, { "id": "01a0878a-8017-71dc-bfe9-cdde7205bd46", "title": "Example of Kernel Ridge Regression From Scratch Python Using Cholesky Decomposition with a Solve Function", "url": "https://jamesmccaffreyblog.com/2026/09/09/example-of-kernel-ridge-regression-from-scratch-python-using-cholesky-decomposition-with-a-solve-function/", "published_at": "2026-09-09T10:30:01+00:00" }, { "id": "01a0878a-8017-71dc-bfe9-cdde722ce356", "title": "NFL 2026 Week 1 Predictions – Zoltar Likes Underdogs Colts, Texans, Broncos", "url": "https://jamesmccaffreyblog.com/2026/09/08/nfl-2026-week-1-predictions-zoltar-likes-underdogs-colts-texans-broncos/", "published_at": "2026-09-08T10:30:47+00:00" }, { "id": "01a0878a-8017-71dc-bfe9-cdde724475fe", "title": "Adding L2 Regularization to Quadratic Regression Trained Using MP Pseudo-Inverse via QR-Householder with C#", "url": "https://jamesmccaffreyblog.com/2026/09/07/adding-l2-regularization-to-quadratic-regression-trained-using-mp-pseudo-inverse-via-qr-householder-with-csharp/", "published_at": "2026-09-07T10:31:04+00:00" }, { "id": "01a0878a-8017-71dc-bfe9-cdde72ac7790", "title": "Comparing Support Vector Regression Using From-Scratch C# vs Using the Scikit SVR Module", "url": "https://jamesmccaffreyblog.com/2026/09/04/comparing-support-vector-regression-using-from-scratch-c-vs-using-the-scikit-svr-module/", "published_at": "2026-09-04T10:30:56+00:00" }, { "id": "01a0878a-8017-71dc-bfe9-cdde73906ef9", "title": "AdaBoost.R2 Regression with Extra Trees (Extremely Randomized Trees) Learners Using C#", "url": "https://jamesmccaffreyblog.com/2026/09/03/adaboost-r2-regression-with-extra-trees-extremely-randomized-trees-learners-using-csharp/", "published_at": "2026-09-03T10:30:35+00:00" }, { "id": "01a0878a-8017-71dc-bfe9-cdde74217e63", "title": "NFL 2026 Season – A Look Back at How Vegas Favorites and Underdogs Did in 2025", "url": "https://jamesmccaffreyblog.com/2026/09/02/nfl-2026-season-a-look-back-at-how-vegas-favorites-and-underdogs-did-in-2025/", "published_at": "2026-09-02T10:30:52+00:00" }, { "id": "01a0878a-8017-71dc-bfe9-cdde74ad5338", "title": "Deep Neural Network Regression From Scratch Using Python", "url": "https://jamesmccaffreyblog.com/2026/09/01/deep-neural-network-regression-from-scratch-using-python/", "published_at": "2026-09-01T10:31:44+00:00" }, { "id": "01a0878a-8017-71dc-bfe9-cdde74c501e3", "title": "Hybrid Quadratic Regression and Nearest Neighbors Regression Using C#", "url": "https://jamesmccaffreyblog.com/2026/08/31/hybrid-quadratic-regression-and-nearest-neighbors-regression-using-csharp/", "published_at": "2026-08-31T10:29:03+00:00" }, { "id": "01a0878a-8017-71dc-bfe9-cdde74e49faa", "title": "New Version of Quadratic Regression Trained Using MP Pseudo-Inverse via QR-Householder Using C#", "url": "https://jamesmccaffreyblog.com/2026/08/28/new-version-of-quadratic-regression-trained-using-mp-pseudo-inverse-via-qr-householder-using-csharp/", "published_at": "2026-08-28T10:30:29+00:00" }, { "id": "01a0878a-8017-71dc-bfe9-cdde753745bd", "title": "Demonstrating Why AdaBoost.R2 Regression Almost Always Uses Decision Tree Learners", "url": 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"https://jamesmccaffreyblog.com/2026/08/19/nfl-2026-football-predictions-a-recap-of-zoltars-2025-results/", "published_at": "2026-08-19T10:30:01+00:00" }, { "id": "01a0878a-8017-71dc-bfe9-cdde77c8b7d4", "title": "I Use AI to Improve My Random Forest Regression System Using C#", "url": "https://jamesmccaffreyblog.com/2026/08/18/i-use-ai-to-improve-my-random-forest-regression-system-using-c/", "published_at": "2026-08-18T10:30:17+00:00" }, { "id": "01a0878a-8017-71dc-bfe9-cdde781dffd9", "title": "Quadratic Regression with Left Pseudo-Inverse Training Implemented Using C#", "url": "https://jamesmccaffreyblog.com/2026/08/17/quadratic-regression-with-left-pseudo-inverse-training-implemented-using-csharp/", "published_at": "2026-08-17T10:30:06+00:00" }, { "id": "01a0878a-8017-71dc-bfe9-cdde78cfc1cb", "title": "Kernel Ridge Regression via Cholesky Decomposition with a Solve Function Using From Scratch C#", "url": "https://jamesmccaffreyblog.com/2026/08/14/kernel-ridge-regression-via-cholesky-decomposition-with-a-solve-function-using-from-scratch-csharp/", "published_at": "2026-08-14T10:30:36+00:00" }, { "id": "01a0878a-8017-71dc-bfe9-cdde79cdaaf4", "title": "“Computing Dataset Variance Inflation Factor (VIF) Using C#” in Visual Studio Magazine", "url": "https://jamesmccaffreyblog.com/2026/08/13/computing-dataset-variance-inflation-factor-vif-using-c-in-visual-studio-magazine/", "published_at": "2026-08-13T10:30:22+00:00" } ] posts Claim your blog
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2026

XGBoost Regression Example Using Pythonoriginal ↗
25 Sept 2026
Three Different Closed-Form Training Techniques for Linear Regressionoriginal ↗
24 Sept 2026
NFL 2026 Week 3 Predictions – Zoltar Likes Four Vegas Underdogsoriginal ↗
23 Sept 2026
Why I (Almost) Never Use Software OOP Inheritanceoriginal ↗
22 Sept 2026
Neural Network Bistratum Regression From Scratch Using C#original ↗
21 Sept 2026
Neural Network Bistratum Regression IO Using C#original ↗
18 Sept 2026
For Someone Specialoriginal ↗
18 Sept 2026
“The AI Productivity Paradox” on the Pure AI Web Siteoriginal ↗
17 Sept 2026
NFL 2026 Week 2 Predictions – Zoltar Likes the Underdog Falcons Against the Panthersoriginal ↗
16 Sept 2026
I Use AI to Improve My Decision Tree Regression Using From-Scratch Pythonoriginal ↗
15 Sept 2026
Implementing a Coefficient of Determination (R2) Function Using C#original ↗
14 Sept 2026
AdaBoost.R2 Regression with Blind Tree Learners Using C#original ↗
11 Sept 2026
“Quadratic Regression with QR-Householder OLS Solve Training Using C#” in Visual Studio Magazineoriginal ↗
10 Sept 2026
Example of Kernel Ridge Regression From Scratch Python Using Cholesky Decomposition with a Solve Functionoriginal ↗
9 Sept 2026
NFL 2026 Week 1 Predictions – Zoltar Likes Underdogs Colts, Texans, Broncosoriginal ↗
8 Sept 2026
Adding L2 Regularization to Quadratic Regression Trained Using MP Pseudo-Inverse via QR-Householder with C#original ↗
7 Sept 2026
Comparing Support Vector Regression Using From-Scratch C# vs Using the Scikit SVR Moduleoriginal ↗
4 Sept 2026
AdaBoost.R2 Regression with Extra Trees (Extremely Randomized Trees) Learners Using C#original ↗
3 Sept 2026
NFL 2026 Season – A Look Back at How Vegas Favorites and Underdogs Did in 2025original ↗
2 Sept 2026
Deep Neural Network Regression From Scratch Using Pythonoriginal ↗
1 Sept 2026
Hybrid Quadratic Regression and Nearest Neighbors Regression Using C#original ↗
31 Aug 2026
New Version of Quadratic Regression Trained Using MP Pseudo-Inverse via QR-Householder Using C#original ↗
28 Aug 2026
Demonstrating Why AdaBoost.R2 Regression Almost Always Uses Decision Tree Learnersoriginal ↗
27 Aug 2026
NFL 2026 Season – A Look at Back at 2025 Vegas Point Spread Dataoriginal ↗
26 Aug 2026
Linear Regression With SGD Training and Consecutive Euclidean Distance Early Exit From Scratch Using C#original ↗
25 Aug 2026
Quadratic Regression with Direct QR-Householder OLS Solve Training Using C#original ↗
24 Aug 2026
My Top Ten Favorite Giant Insect Movies of the 1950soriginal ↗
21 Aug 2026
“AI Hallucinations Why AI Confidently Lies and the Business Opportunities It Creates” on the Pure AI Web Siteoriginal ↗
20 Aug 2026
NFL 2026 Football Predictions: A Recap of Zoltar’s 2025 Resultsoriginal ↗
19 Aug 2026
I Use AI to Improve My Random Forest Regression System Using C#original ↗
18 Aug 2026
Quadratic Regression with Left Pseudo-Inverse Training Implemented Using C#original ↗
17 Aug 2026
Kernel Ridge Regression via Cholesky Decomposition with a Solve Function Using From Scratch C#original ↗
14 Aug 2026
“Computing Dataset Variance Inflation Factor (VIF) Using C#” in Visual Studio Magazineoriginal ↗
13 Aug 2026