Today I’m going to go back to the conversation we were having about a month ago about the basic principles of machine learning, including the ridge regression… Read more “Machine Learning for Beginners, Part 11: Ridge Regression”
Author: thedatalass
My Graduation Edition
The commencement invitation is in plain sight for me to see every day. The cap and gown have been ordered, the travel plans complete and the “Class… Read more “My Graduation Edition”
Machine Learning for Beginners, Part 10: Random Forest
After a two week mini series on data ethics, today I’m going to go back to the conversation we were having about a month ago about the… Read more “Machine Learning for Beginners, Part 10: Random Forest”
Neo4J and Cypher, Part 2 – Network Graph Medical Case Study
During the summer of 2017, I did a blog on learning the network graph tool called Neo4J and promised to return to the topic before I graduate.… Read more “Neo4J and Cypher, Part 2 – Network Graph Medical Case Study”
Data Science Ethics in the Digital Age, part 2
The implications of data mining got mildly creepy and a bit too personal the summer I began grad school in data science at Indiana University. I had… Read more “Data Science Ethics in the Digital Age, part 2”
Data Science Ethics in the Digital Age, part 1
A course on Data Ethics was included in my graduate curriculum at Indiana University but it can be a topic that gets lost in all the blogs… Read more “Data Science Ethics in the Digital Age, part 1”
Machine Learning for Beginners, Part 9: Decision Tree
In my last blog, I discussed using support vector machine supervised machine learning algorithm to determine where to fence in my cows. During the summer of 2017… Read more “Machine Learning for Beginners, Part 9: Decision Tree”
Machine Learning for Beginners, Part 8 – Support Vector Machine
(Image by Quora) In a February 6 blog, I discussed the unsupervised machine learning Naive Bayes algorithm with an example that was hopefully easy to understand for beginners.… Read more “Machine Learning for Beginners, Part 8 – Support Vector Machine”
Predicting Poverty: World Bank Competition
A few weeks ago at the end of January as I was procrastinating doing my homework for my last semester in grad school, I came across something… Read more “Predicting Poverty: World Bank Competition”
Machine Learning for Beginners, Part 7 – Naïve Bayes
In my last blog, I discussed k-Nearest Neighbor machine learning algorithms with an example that was hopefully easy to understand for beginners. During the summer of 2017… Read more “Machine Learning for Beginners, Part 7 – Naïve Bayes”
