Articles

  Introduction Automated machine learning is a fundamental shift to machine learning and data science. Data science as it stands today, is resource-intensive, expensive and… Read More »How will the Data Scientist’s job change through automated machine learning?

Naive Bayes is a deceptively simple way to find answers to probability questions that involve many inputs. For example, if you’re a website owner, you… Read More »Naive Bayes in One Picture

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