I am an aspiring programmer who writes about introductory machine learning topics in plain English
B.A. in Classics and Ancient Mediterranean Studies, University of Connecticut
EDA part 2: Learning about Estimates of Location
Exploratory Data Analysis: what is it?
Softmax Activation Function: walk through the math with me
How Neural Networks work: activation functions
Random Forests: improving decision trees (ML Log 12)
Deep Learning: when and why is it useful? (ML Log 11)
Entropy: what is it and why should you care? (ML log 10)
Machine Learning Log 9: Decision trees and mushrooms
Do you need math to get started with Machine Learning? My slightly ranty opinion and some tips for growth
Machine Learning Log 8: an intuitive overview of gradient descent
Machine Learning Log 7: understanding the loss function - fancy math symbols explained!
Machine Learning Log 6: Linear regression explained by a non mathy person (part 1)
Machine Learning Log 5: a brief overview of unsupervised learning
Machine Learning log 4: resources and thoughts on self-study
Machine Learning Log 3: a brief summary of supervised learning
Studying a programming language: tips from a former language teacher
Machine Learning Log: how Python works in 1 minute or less
Machine Learning Log: what's the difference between AI, Machine Learning, and Deep Learning?
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