Monty Hall Problem
Select a door. You selected the door number 1. Monty Hall opened the door number 2. We see a goat there. In Silvio Santos Show,… Read More »Monty Hall Problem
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Learn #MachineLearning Coding Basics in a weekend – Glossary and Mindmap
For background to this post, please see Learn #MachineLearning Coding Basics in a weekend. Here,we present the glossary that we use for the coding and the… Read More »Learn #MachineLearning Coding Basics in a weekend – Glossary and Mindmap
TriaClick – Associative Semiotic Hypergraph technology on a Columnar DBMS
Screen Capture Demo of TriaClick, the latest release of TRIADB, a python console application that implements associative, semiotic, hypergraph technology on top of ClickHouse columnar DBMS and MariaDB. TriaClick is my long… Read More »TriaClick – Associative Semiotic Hypergraph technology on a Columnar DBMS
Capturing the Value of ML/AI – the Challenge of Offensive versus Defensive Data Strategies
Summary: A major pain point is standing in the way of many companies’ ability to maximize the value of their ML/AI initiatives. The competing goals… Read More »Capturing the Value of ML/AI – the Challenge of Offensive versus Defensive Data Strategies
Machine Learning – Reviews system
Hi I am working on the attached data set where I have to predict the reviews (1-5). Date is the only column to play with… Read More »Machine Learning – Reviews system
Book: Statistics for Managers Using Microsoft Excel
For one- or two-semester business statistics courses. Not a new book, but a popular one (8th edition.) This text is the gold standard for learning how… Read More »Book: Statistics for Managers Using Microsoft Excel
5 reasons why graph visualization matters
Why is graph visualization so important? How can it help businesses sifting through large amounts of complex data? We explore the answer in this post… Read More »5 reasons why graph visualization matters
How to Learn Python in 30 days
Introduction Are you looking to learn python for data science but have a time crunch? Are you making your career shift into data science and… Read More »How to Learn Python in 30 days
Kicking Chicago with R.
Like most Chicago football fans, I was pretty distraught after the Bears lost last Sunday’s playoff game courtesy of a missed field goal at the… Read More »Kicking Chicago with R.
26 Statistical Concepts Explained in Simple English – Part 6
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python,… Read More »26 Statistical Concepts Explained in Simple English – Part 6