EM Algorithm Explained in One Picture
The EM algorithm finds maximum-likelihood estimates for model parameters when you have incomplete data. The “E-Step” finds probabilities for the assignment o...
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System Engineering Methodology for Design Improvement (Work in progress…)
A system is an entity that behaves based on the intrinsic characteristics of its components and the external forces that drive these elements to react as a result of thei...
Optimizing Your Company Right Out of Business
Professional athletes know the importance of developing opposing or complementary muscles (quadriceps and hamstrings, biceps and triceps). These complementary muscles a...
Maslow's Hierarchy of Data Science: Why Math and Science Still Matter
As an academic discipline, the rate of maturation for data science should be measured in light years. Although it’s really only about 10 years old as a field of st...
Reinforcement Learning to Reduce Building Energy Consumption
Heating, ventilation, and air conditioning of buildings accounts alone for nearly 40% of the global energy demand [1]. The need for Energy Savings has become increas...
Industry Averages, Benchmarks and the Death of Innovation
Sustaining industry averages and benchmarks are the antithesis of innovation and a great way to ensure average performance. Doing whatever everyone else is doing is a “...
Deep Learning from first principles in Python, R and Octave – Part 1
This article was written by Tinniam V Ganesh. This is the first in the series of posts, I intend to write on Deep Learning. This post is inspired by the Deep Learning...
How to build a deep learning model in 15 minutes
This article was written by Montana Low. An open source framework for configuring, building, deploying and maintaining deep learning models in Python. As Instacart h...
Beginners Guide To Statistical Cluster Analysis
This article was written by Mohammad Sajid. Statistical cluster analysis is an Exploratory Data Analysis Technique which groups heterogeneous objects(M.D.) into ho...
On Being a 50 Year Old Data Scientist
At the time of writing, I’m a 52 year-old working in the fields of mathematics and data science. In mathematics, that makes me well-seasoned (and probably well-tenu...