41554 blogs · [ { "id": "01a087a4-0d3e-736b-9c75-26e9e138cb8f", "title": "Agile Data Science: On Opportunism", "url": "https://mentalmodels4life.net/2017/12/09/agile-data-science-on-opportunism/", "published_at": "2017-12-09T10:54:19+00:00" }, { "id": "01a087a4-0d3e-736b-9c75-26e9e1ecfa6f", "title": "The Missing Data Science Language?", "url": "https://mentalmodels4life.net/2017/11/05/the-missing-data-science-language/", "published_at": "2017-11-05T10:02:51+00:00" }, { "id": "01a087a4-0d3e-736b-9c75-26e9e20f7329", "title": "Garden Bees", "url": "https://mentalmodels4life.net/2017/10/08/garden-bees/", "published_at": "2017-10-08T03:50:49+00:00" }, { "id": "01a087a4-0d3e-736b-9c75-26e9e298e8fe", "title": "The Real North Korean Threat?", "url": "https://mentalmodels4life.net/2017/10/07/the-real-north-korean-threat/", "published_at": "2017-10-07T10:07:56+00:00" }, { "id": "01a087a4-0d3e-736b-9c75-26e9e37ef098", "title": "Cyber Security Cooperative Research Centre", "url": 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"https://mentalmodels4life.net/2015/10/13/from-words-to-semantics-explicit-semantic-analysis/", "published_at": "2015-10-13T10:12:27+00:00" }, { "id": "01a087a4-0d3f-73f9-82f2-b5500900d3b8", "title": "A Digitisation Project: Fun with Tesseract", "url": "https://mentalmodels4life.net/2015/10/12/a-digitisation-project-fun-with-tesseract/", "published_at": "2015-10-12T10:38:51+00:00" }, { "id": "01a087a4-0d3f-73f9-82f2-b550094776ea", "title": "Unifying Logic and Probability for Learning", "url": "https://mentalmodels4life.net/2015/10/02/unifying-logic-and-probability-for-learning/", "published_at": "2015-10-02T04:39:41+00:00" }, { "id": "01a087a4-0d3f-73f9-82f2-b55009f6828a", "title": "The Competitive Moat of Google, Facebook and Other Data Owners", "url": "https://mentalmodels4life.net/2015/09/30/the-competitive-moat-of-google-facebook-and-other-data-owners/", "published_at": "2015-09-30T03:19:48+00:00" }, { "id": "01a087a4-0d3f-73f9-82f2-b5500a33f645", "title": "ETF Investing using Shiller’s CAPEs", "url": "https://mentalmodels4life.net/2015/09/28/etf-investing-using-shillers-capes/", "published_at": "2015-09-28T02:00:27+00:00" }, { "id": "01a087a4-0d3f-73f9-82f2-b5500a505999", "title": "A Short Course on Statistical Learning", "url": "https://mentalmodels4life.net/2015/09/26/a-short-course-on-statistical-learning/", "published_at": "2015-09-26T10:47:45+00:00" }, { "id": "01a087a4-0d3f-73f9-82f2-b5500b3db7ef", "title": "How to Prove It", "url": "https://mentalmodels4life.net/2015/09/25/how-to-prove-it/", "published_at": "2015-09-25T03:33:30+00:00" }, { "id": "01a087a4-0d3f-73f9-82f2-b5500bf691c2", "title": "A Reading List for Data Scientists", "url": "https://mentalmodels4life.net/2015/09/25/required-readings-for-data-scientists/", "published_at": "2015-09-25T01:47:51+00:00" }, { "id": "01a087a4-0d3f-73f9-82f2-b5500c15119d", "title": "Online Support Vector Machines", "url": "https://mentalmodels4life.net/2015/09/23/online-support-vector-machines/", "published_at": "2015-09-23T07:59:07+00:00" }, { "id": "01a087a4-0d3f-73f9-82f2-b5500c7e25b5", "title": "Agile Data Science – A Prerequisite", "url": "https://mentalmodels4life.net/2015/09/18/agile-data-science-prerequisites/", "published_at": "2015-09-18T08:40:01+00:00" }, { "id": "01a087a4-0d3f-73f9-82f2-b5500c8b1317", "title": "Bayesian Estimators for Bernoulli Distributions", "url": "https://mentalmodels4life.net/2015/09/11/bayesian-estimators-for-bernoulli-distributions/", "published_at": "2015-09-11T03:46:47+00:00" }, { "id": "01a087a4-0d3f-73f9-82f2-b5500ca4432d", "title": "India – A Photo Diary", "url": "https://mentalmodels4life.net/2015/09/10/india-a-photo-journal/", "published_at": "2015-09-10T05:51:34+00:00" }, { "id": "01a087a4-0d3f-73f9-82f2-b5500d01642a", "title": "Partial Least Squares Explained", "url": "https://mentalmodels4life.net/2015/09/09/partial-least-squares-explained/", "published_at": "2015-09-09T05:48:32+00:00" }, { "id": "01a087a4-0d3f-73f9-82f2-b5500d7cec80", "title": "Quantifying the Accuracy of Business Rules", "url": "https://mentalmodels4life.net/2015/09/07/quantifying-the-accuracy-of-business-rules/", "published_at": "2015-09-07T05:47:05+00:00" }, { "id": "01a087a4-0d3f-73f9-82f2-b5500da165ae", "title": "A Note on Lazy Evaluation in R", "url": "https://mentalmodels4life.net/2015/09/04/a-note-on-the-computational-model-of-r/", "published_at": "2015-09-04T05:03:14+00:00" }, { "id": "01a087a4-0d3f-73f9-82f2-b5500e6481ad", "title": "SJM Holdings — A Value Play", "url": "https://mentalmodels4life.net/2015/09/03/sjm-holdings-a-deep-value-play/", "published_at": "2015-09-03T10:24:36+00:00" }, { "id": "01a087a4-0d3f-73f9-82f2-b5500ec371ec", "title": "On Data Science Training — Core Technical Skills", "url": "https://mentalmodels4life.net/2015/08/05/on-data-science-training-core-technical-skills/", "published_at": "2015-08-05T08:43:57+00:00" }, { "id": "01a087a4-0d3f-73f9-82f2-b5500f6805c7", "title": "Mental Models for Life", "url": "https://mentalmodels4life.net/2015/08/03/hello-world/", "published_at": "2015-08-03T06:50:10+00:00" } ] posts Claim your blog

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mentalmodels4life.net

2017

Agile Data Science: On Opportunism original ↗

9 Dec 2017

The Missing Data Science Language?original ↗

5 Nov 2017

Garden Bees original ↗

8 Oct 2017

The Real North Korean Threat?original ↗

7 Oct 2017

Cyber Security Cooperative Research Centre original ↗

2 Oct 2017

Organisational Psychopaths original ↗

1 Oct 2017

Agile Data Science: Don’t Let Your Model Die in a Powerpoint Presentation original ↗

23 Sept 2017

Practical Algorithms for Distributed Privacy-Preserving Risk Modelling original ↗

3 Sept 2017

How to Quickly and Meaningfully Improve the Financial System’s Collective Ability to Detect Crimes original ↗

27 Aug 2017

Extending the Paillier Cryptosystem to Handle Floating Point Numbers original ↗

13 Aug 2017

The Education of a Data Scientist: On Sands and Other Irritants original ↗

23 Jul 2017

How it Feels to Live in a Current Account Surplus / Deficit Economy original ↗

22 Jul 2017

How to Link Millions of Addresses with Ten Lines of Code in Ten Minutes original ↗

16 Jul 2017

Detecting Financial Crimes: Current State, Limitations, and A Way Forward original ↗

8 Jul 2017

In-Database Machine Learning Illustrated original ↗

1 Jun 2017

Happy Anniversary, Talbot!original ↗

27 May 2017

Setting up a Data Science Practice: Analytics Processes original ↗

14 May 2017

Setting up a Data Science Practice: People Dimension original ↗

14 May 2017

Setting up a Data Science Practice: Fundamental Principles original ↗

7 May 2017

A Different Side of Singapore original ↗

30 Apr 2017

My Russian Value Trap original ↗

25 Apr 2017

Low-cost Hassle-free International Fund Transfer original ↗

23 Apr 2017

Pixar on Management original ↗

19 Mar 2017

Customer Lifetime Value and Its Application in Retail Analytics original ↗

5 Mar 2017

Bailey original ↗

26 Feb 2017

The Supermarket Trolley Index original ↗

28 Jan 2017

Lifting the Fog on Machine Learning Maths original ↗

2 Jan 2017

2016

Small Data: The Yin to Big Data’s Yang original ↗

30 Dec 2016

2016 Memorable Trips original ↗

29 Dec 2016

Organisational Debts original ↗

17 Dec 2016

Agile Data Science: The Point of It All original ↗

29 Nov 2016

Time for Roses!original ↗

20 Nov 2016

Oh My Wisteria original ↗

6 Nov 2016

Large-scale Subscriber Preference Modelling for Telcos – Part 2 original ↗

5 Nov 2016

Large-scale Subscriber Preference Modelling for Telcos – Part 1 original ↗

30 Oct 2016

A Kookaburra in the Yard original ↗

8 Oct 2016

Connecting Tableau to Elasticsearch original ↗

29 Sept 2016

Wild Lives Around the House original ↗

25 Sept 2016

Our Magnolia Tree original ↗

17 Sept 2016

Reflections on Tens Years of Value Investing original ↗

11 Sept 2016

Signs of Spring original ↗

27 Aug 2016

Apache Spark vs MPP Databases original ↗

14 Aug 2016

A Derivation of the Kalman Filter original ↗

24 Jul 2016

Life with a Greyhound original ↗

10 Jul 2016

An Unexpected Beauty original ↗

26 Jun 2016

Black Swans, White Swans original ↗

11 Jun 2016

Agile Data Science: Start with An Action original ↗

28 May 2016

Automatic Data Integration using Normalised Compression Distance original ↗

22 May 2016

Agile Retail Banking original ↗

21 May 2016

A Cinema-goer’s Guide to Freedom and Liberty original ↗

1 May 2016

A Guide to Moving to Singapore original ↗

17 Apr 2016

Data Acquisition for Shopping Research original ↗

3 Apr 2016

A Garden’s Tale original ↗

28 Mar 2016

Building a Data Science Practice original ↗

28 Mar 2016

Privacy Preserving Outlier Detection: A Tutorial original ↗

4 Mar 2016

Privacy Preserving Support Vector Machines: A Simple Version original ↗

20 Feb 2016

An Owl in the House original ↗

3 Jan 2016

2015

PL/Fortran and PL/C++ on PostgreSQL and Greenplum original ↗

18 Dec 2015

Spring Drive 9R15 Movement Accuracy original ↗

2 Dec 2015

Survival Analysis using Logistic Regression original ↗

30 Nov 2015

Sources of Profit in Retail original ↗

30 Nov 2015

Agile Data Science: Applying Kanban in the Analytics Life Cycle original ↗

18 Nov 2015

A Note on Shopping Efficiency and Product Placement original ↗

13 Nov 2015

A Text-Based and Self-Adapting Product Recommendation Engine original ↗

11 Nov 2015

How Come There Are 60 Minutes In An Hour original ↗

5 Nov 2015

Big Heads and Long Tails in Retail original ↗

30 Oct 2015

How to Think About Retail Analytics original ↗

29 Oct 2015

A Mental Model of Financial Euphoria original ↗

26 Oct 2015

Quality Financial Journalism: A List original ↗

23 Oct 2015

From Words to Concepts: Explicit Semantic Analysis original ↗

13 Oct 2015

A Digitisation Project: Fun with Tesseract original ↗

12 Oct 2015

Unifying Logic and Probability for Learning original ↗

2 Oct 2015

The Competitive Moat of Google, Facebook and Other Data Owners original ↗

30 Sept 2015

ETF Investing using Shiller’s CAPEs original ↗

28 Sept 2015

A Short Course on Statistical Learning original ↗

26 Sept 2015

How to Prove It original ↗

25 Sept 2015

A Reading List for Data Scientists original ↗

25 Sept 2015

Online Support Vector Machines original ↗

23 Sept 2015

Agile Data Science – A Prerequisite original ↗

18 Sept 2015

Bayesian Estimators for Bernoulli Distributions original ↗

11 Sept 2015

India – A Photo Diary original ↗

10 Sept 2015

Partial Least Squares Explained original ↗

9 Sept 2015

Quantifying the Accuracy of Business Rules original ↗

7 Sept 2015

A Note on Lazy Evaluation in R original ↗

4 Sept 2015

SJM Holdings — A Value Play original ↗

3 Sept 2015

On Data Science Training — Core Technical Skills original ↗

5 Aug 2015

Mental Models for Life original ↗

3 Aug 2015