corpus.blog
41554 blogs · [ { "id": "01a087ec-229e-70e7-ae03-a842bef3566d", "title": "Dual-Stream Conscience: From Architecture to Trained Model", "url": "https://www.thebigdatablog.com/dual-stream-conscience-training-results/", "published_at": "2026-07-01T16:52:17+00:00" }, { "id": "01a087ec-229e-70e7-ae03-a842bfbb704d", "title": "Applying the Brain’s Dual-Library Mechanism to Transformer Architectures", "url": "https://www.thebigdatablog.com/decoupling-what-from-how-dual-library-transformer/", "published_at": "2026-06-20T06:21:17+00:00" }, { "id": "01a087ec-229e-70e7-ae03-a842c0777354", "title": "NELA: Beyond Human Syntax – The Logic of Future Coding Agents", "url": "https://www.thebigdatablog.com/nela-beyond-human-syntax-the-logic-of-future-coding-agents/", "published_at": "2026-05-08T14:50:20+00:00" }, { "id": "01a087ec-229e-70e7-ae03-a842c148cf3d", "title": "Efficient Kernel Smoother in the ONNX Format", "url": "https://www.thebigdatablog.com/efficient-kernel-smoother-in-the-onnx-format/", "published_at": "2025-03-08T11:29:02+00:00" }, { "id": "01a087ec-229e-70e7-ae03-a842c181e908", "title": "Offset and Weights in GLM Regression", "url": "https://www.thebigdatablog.com/offset-and-weights-in-glm-regression/", "published_at": "2024-07-20T09:37:28+00:00" }, { "id": "01a087ec-229e-70e7-ae03-a842c275a0c6", "title": "Unlocking Stock Market Insights with RiskBERT", "url": "https://www.thebigdatablog.com/unlocking-stock-market-insights-with-riskbert/", "published_at": "2024-02-19T22:55:56+00:00" }, { "id": "01a087ec-229e-70e7-ae03-a842c294e0ca", "title": "Notes on stochastic count processes with independent non stationary increments", "url": "https://www.thebigdatablog.com/notes-on-stochastic-processes-with-independent-non-stationary-increments/", "published_at": "2023-09-07T19:20:25+00:00" }, { "id": "01a087ec-229e-70e7-ae03-a842c37ed16f", "title": "Generalized Semantic Regression using Contextual Embeddings", "url": "https://www.thebigdatablog.com/generalized-semantic-regression-using-contextual-embeddings/", "published_at": "2023-07-15T10:57:42+00:00" }, { "id": "01a087ec-229e-70e7-ae03-a842c3f030a0", "title": "Guessing Passwords using an LSTM Network", "url": "https://www.thebigdatablog.com/guessing-passwords-using-an-lstm-network/", "published_at": "2023-01-23T21:36:12+00:00" }, { "id": "01a087ec-229e-70e7-ae03-a842c4ec2e68", "title": "Expected maxima of a Brownian Motion- Does my stock trading strategy work?", "url": "https://www.thebigdatablog.com/does-my-stock-trading-strategy-work/", "published_at": "2022-08-13T12:32:32+00:00" }, { "id": "01a0de48-24b7-72ef-8b6a-29080b64c41a", "title": "Estimating the extrema of noisy curves and optimization using spline surface approximation", "url": "https://www.thebigdatablog.com/estimating-the-extrema-of-noisy-curves-and-optimization-using-spline-surface-approximation/", "published_at": "2022-04-15T16:19:42+00:00" }, { "id": "01a0de48-24b7-72ef-8b6a-29080b8baa96", "title": "A WordPress Plugin to embed raw.githubusercontent", "url": "https://www.thebigdatablog.com/a-wordpress-plugin-to-embed-raw-githubusercontent/", "published_at": "2022-01-12T13:15:31+00:00" }, { "id": "01a0de48-24b7-72ef-8b6a-29080c04a240", "title": "Building a minimal, cost efficient Dask cluster", "url": "https://www.thebigdatablog.com/building-a-minimal-cost-efficient-dask-cluster/", "published_at": "2021-04-07T15:27:40+00:00" }, { "id": "01a0de48-24b7-72ef-8b6a-29080c680cf2", "title": "Frequency-Severity Modeling in consideration of COVID-19 induced effects", "url": "https://www.thebigdatablog.com/frequency-severity-modeling-in-consideration-of-covid-19-induced-effects/", "published_at": "2021-02-20T08:25:40+00:00" }, { "id": "01a0de48-24b7-72ef-8b6a-29080cf7e1ac", "title": "Kernel Regression using the Fast Fourier Transform", "url": "https://www.thebigdatablog.com/kernel-regression-using-the-fast-fourier-transform/", "published_at": "2020-10-10T10:42:28+00:00" }, { "id": "01a0de48-24b7-72ef-8b6a-29080d6702f2", "title": "Cluster Monitoring using a ST7789 Display", "url": "https://www.thebigdatablog.com/cluster-monitoring-using-a-st7789-display/", "published_at": "2020-06-20T08:42:15+00:00" }, { "id": "01a0de48-24b7-72ef-8b6a-29080db903d1", "title": "Fast Kernel Density Estimation using the Fast Fourier Transform", "url": "https://www.thebigdatablog.com/fast-kernel-density-estimation-using-the-fast-fourier-transform/", "published_at": "2020-03-14T18:13:03+00:00" }, { "id": "01a0de48-24b7-72ef-8b6a-29080dee4845", "title": "Non-Linear Classification Methods in Spark", "url": "https://www.thebigdatablog.com/non-linear-classification-methods-in-spark/", "published_at": "2020-01-19T17:05:13+00:00" }, { "id": "01a0de48-24b7-72ef-8b6a-29080e881e95", "title": "Kubernetes at an OrangePi", "url": "https://www.thebigdatablog.com/kubernetes-and-docker-running-at-an-orangepi/", "published_at": "2019-09-10T19:20:53+00:00" }, { "id": "01a0de48-24b7-72ef-8b6a-29080f087836", "title": "An AI with less than 200 lines of code", "url": "https://www.thebigdatablog.com/an-ai-with-less-than-200-lines-of-code/", "published_at": "2019-07-13T09:17:32+00:00" }, { "id": "01a0de58-0cfd-7301-ae25-de348085e75f", "title": "Teaching a Computer Gamerules", "url": "https://www.thebigdatablog.com/teaching-a-computer-gamerules/", "published_at": "2019-06-10T13:28:33+00:00" }, { "id": "01a0de58-0cfd-7301-ae25-de3480dc3596", "title": "Solving the Multiarmed Bandit problem with JavaScript", "url": "https://www.thebigdatablog.com/solving-the-multiarmed-bandit-problem-with-javascript/", "published_at": "2019-04-14T14:00:16+00:00" }, { "id": "01a0de58-0cfd-7301-ae25-de3481696502", "title": "An introduction to the Registration Problem", "url": "https://www.thebigdatablog.com/an-introduction-to-the-registration-problem/", "published_at": "2019-04-02T18:22:33+00:00" }, { "id": "01a0de58-0cfd-7301-ae25-de348264a7b1", "title": "Non-Linear Support Vector Machines (SVM)", "url": "https://www.thebigdatablog.com/non-linear-support-vector-machines-svm-in-spark/", "published_at": "2019-02-15T17:47:19+00:00" }, { "id": "01a0de58-0cfd-7301-ae25-de3482f2eea9", "title": "Kernel Regression using Pyspark", "url": "https://www.thebigdatablog.com/kernel-regression-using-pyspark/", "published_at": "2018-09-15T07:17:53+00:00" }, { "id": "01a0de58-0cfd-7301-ae25-de34831cd0e5", "title": "Nonparametric Density estimation using Spark", "url": "https://www.thebigdatablog.com/nonparametric-density-estimation-using-spark/", "published_at": "2018-08-29T17:01:42+00:00" }, { "id": "01a0de58-0cfd-7301-ae25-de34839b3419", "title": "Functional Regression with Spark", "url": "https://www.thebigdatablog.com/functional-regression-with-spark/", "published_at": "2017-12-08T18:38:03+00:00" }, { "id": "01a0de58-0cfd-7301-ae25-de34845299f3", "title": "Functional Principal Component Analysis with Spark", "url": "https://www.thebigdatablog.com/functional-principal-component-analysis-with-spark/", "published_at": "2017-10-26T16:47:28+00:00" }, { "id": "01a0de58-0cfd-7301-ae25-de34852710bf", "title": "3. A more sophisticated approach using Markov chains.", "url": "https://www.thebigdatablog.com/3-a-more-sophisticated-approach-using-markov-chains/", "published_at": "2017-04-24T11:10:17+00:00" }, { "id": "01a0de58-0cfd-7301-ae25-de3486023bed", "title": "2. Coding the “Educated Guess Procedure”", "url": "https://www.thebigdatablog.com/coding-the-educated-guess-procedure/", "published_at": "2017-04-18T16:33:12+00:00" }, { "id": "01a0de68-9bb3-72ab-afe2-ecdfc883856b", "title": "5. Running some tests", "url": "https://www.thebigdatablog.com/5-running-some-tests/", "published_at": "2017-04-14T08:05:17+00:00" }, { "id": "01a0de68-9bb4-7278-96b3-94288827d94d", "title": "4. Install IPython Notebook for Remote Access and Hive", "url": "https://www.thebigdatablog.com/4-install-ipython-with-remote-notebook/", "published_at": "2017-04-07T10:41:57+00:00" }, { "id": "01a0de68-9bb4-7278-96b3-9428884dff78", "title": "3. Build the Cluster", "url": "https://www.thebigdatablog.com/3-build-the-cluster/", "published_at": "2017-03-25T09:54:29+00:00" }, { "id": "01a0de68-9bb4-7278-96b3-94288868bb86", "title": "2. Install Hadoop and Spark", "url": "https://www.thebigdatablog.com/2-installing-hadoop/", "published_at": "2017-03-11T08:51:28+00:00" }, { "id": "01a0de68-9bb4-7278-96b3-942888d8b177", "title": "1. Setting up the OrangePi", "url": "https://www.thebigdatablog.com/1-setting-up-the-orangepi/", "published_at": "2017-02-11T12:08:46+00:00" }, { "id": "01a0de68-9bb4-7278-96b3-9428899ec668", "title": "1. Thougts about Passwords", "url": "https://www.thebigdatablog.com/1-thougts-about-passwords/", "published_at": "2017-02-09T11:15:38+00:00" }, { "id": "01a0de68-9bb4-7278-96b3-94288a6739a9", "title": "Fourier Transform", "url": "https://www.thebigdatablog.com/fourier-transform/", "published_at": "2017-01-22T09:12:52+00:00" }, { "id": "01a0de68-9bb4-7278-96b3-94288abfeddb", "title": "Kernel based Estimators for Multivariate Densities and Functions", "url": "https://www.thebigdatablog.com/kernel-based-estimators-for-multivariate-densities-and-functions/", "published_at": "2017-01-18T16:47:22+00:00" }, { "id": "01a0de68-9bb4-7278-96b3-94288b10db1a", "title": "Estimating Multivariate Functions and Derivatives using Local Polynomial Regression in Matlab", "url": "https://www.thebigdatablog.com/estimate-functions-and-derivatives-using-local-polynomial-regression-with-multivariate-domains-in-matlab-using-the-gpu/", "published_at": "2017-01-07T18:11:54+00:00" } ] posts Claim your blog
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thebigdatablog.com

2026

Dual-Stream Conscience: From Architecture to Trained Modeloriginal ↗
1 Jul 2026
Applying the Brain’s Dual-Library Mechanism to Transformer Architecturesoriginal ↗
20 Jun 2026
NELA: Beyond Human Syntax – The Logic of Future Coding Agentsoriginal ↗
8 May 2026

2025

Efficient Kernel Smoother in the ONNX Formatoriginal ↗
8 Mar 2025

2024

Offset and Weights in GLM Regressionoriginal ↗
20 Jul 2024
Unlocking Stock Market Insights with RiskBERToriginal ↗
19 Feb 2024

2023

Notes on stochastic count processes with independent non stationary incrementsoriginal ↗
7 Sept 2023
Generalized Semantic Regression using Contextual Embeddingsoriginal ↗
15 Jul 2023
Guessing Passwords using an LSTM Networkoriginal ↗
23 Jan 2023

2022

Expected maxima of a Brownian Motion- Does my stock trading strategy work?original ↗
13 Aug 2022
Estimating the extrema of noisy curves and optimization using spline surface approximationoriginal ↗
15 Apr 2022
A WordPress Plugin to embed raw.githubusercontentoriginal ↗
12 Jan 2022

2021

Building a minimal, cost efficient Dask clusteroriginal ↗
7 Apr 2021
Frequency-Severity Modeling in consideration of COVID-19 induced effectsoriginal ↗
20 Feb 2021

2020

Kernel Regression using the Fast Fourier Transformoriginal ↗
10 Oct 2020
Cluster Monitoring using a ST7789 Displayoriginal ↗
20 Jun 2020
Fast Kernel Density Estimation using the Fast Fourier Transformoriginal ↗
14 Mar 2020
Non-Linear Classification Methods in Sparkoriginal ↗
19 Jan 2020

2019

Kubernetes at an OrangePioriginal ↗
10 Sept 2019
An AI with less than 200 lines of codeoriginal ↗
13 Jul 2019
Teaching a Computer Gamerulesoriginal ↗
10 Jun 2019
Solving the Multiarmed Bandit problem with JavaScriptoriginal ↗
14 Apr 2019
An introduction to the Registration Problemoriginal ↗
2 Apr 2019
Non-Linear Support Vector Machines (SVM)original ↗
15 Feb 2019

2018

Kernel Regression using Pysparkoriginal ↗
15 Sept 2018
Nonparametric Density estimation using Sparkoriginal ↗
29 Aug 2018

2017

Functional Regression with Sparkoriginal ↗
8 Dec 2017
Functional Principal Component Analysis with Sparkoriginal ↗
26 Oct 2017
3. A more sophisticated approach using Markov chains.original ↗
24 Apr 2017
2. Coding the “Educated Guess Procedure”original ↗
18 Apr 2017
5. Running some testsoriginal ↗
14 Apr 2017
4. Install IPython Notebook for Remote Access and Hiveoriginal ↗
7 Apr 2017
3. Build the Clusteroriginal ↗
25 Mar 2017
2. Install Hadoop and Sparkoriginal ↗
11 Mar 2017
1. Setting up the OrangePioriginal ↗
11 Feb 2017
1. Thougts about Passwordsoriginal ↗
9 Feb 2017
Fourier Transformoriginal ↗
22 Jan 2017
Kernel based Estimators for Multivariate Densities and Functionsoriginal ↗
18 Jan 2017
Estimating Multivariate Functions and Derivatives using Local Polynomial Regression in Matlaboriginal ↗
7 Jan 2017