Lecture notes for the Statistical Machine Learning course taught at the Department of Information Technology, University of Uppsala (Sweden.) Updated in March 2019. Authors: Andreas Lindholm,… Read More »Free Book: Lecture Notes on Machine Learning
Interesting cartoon featuring the decision tree used in medical diagnosis. To see other cartoons about data science, follow this link.
A little less than a year ago, I posted a blog on generating multivariate frequencies with the Python Pandas data management library, at the same time… Read More »Frequencies in Pandas Redux
Hadoop and Spark are software frameworks from Apache Software Foundation that are used to manage ‘Big Data’. There is no particular threshold size which classifies data as “big data”, but in simple… Read More »What is the Difference Between Hadoop and Spark?
Summary: Finally there are tools that let us transcend ‘correlation is not causation’ and identify true causal factors and their relative strengths in our models. This is… Read More »Causality – The Next Most Important Thing in AI/ML
So many fascinating and deep results have been written about the number (1 + SQRT(5)) / 2 and its related sequence – the Fibonacci numbers… Read More »Some Fun with Gentle Chaos, the Golden Ratio, and Stochastic Number Theory
“Technology is nothing in itself. What’s important is that you have faith in people, that they’re basically good and smart, and if you give… Read More »How a Data Catalog Connects the What and the Why
The Merriam-Webster dictionary defines the word ‘augment’ this way: ‘to make greater, more numerous, larger or more intense’. If you are wondering how this applies… Read More »What is Augmented Analytics and Can it Add Value to Business Intelligence?
At the Data Science for IoT course at the University of Oxford – I have been working on a strategy implementing Artificial Intelligence holistically… Read More »Free book – learn azure in a month of lunches – covering Cloud, AI, devops etc
Summary: Finally there are tools that let us transcend ‘correlation is not causation’ and identify true causal factors and their relative strengths in our models. … Read More »Causality – The Next Most Important Thing in AI/ML
