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[#15] AI Ethics and Fairness
"What is Fair, Anyways?"
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Dan Capellupo
March 2021
[#14] Occam's Razor
Sometimes the simplest answer is the best answer
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Dan Capellupo
[#13] The Drive to Become Data-Driven
As companies continue to move towards becoming more data-driven, what are the opportunities and challenges for data professionals?
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Dan Capellupo
February 2021
[#12] Deep Dive into Clustering (Part 2)
k-Means and HDBSCAN: a detailed comparison
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Dan Capellupo
[#11] Deep Dive into Clustering (Part 1)
The k-Means algorithm and choosing the number of clusters
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Dan Capellupo
January 2021
[#10] Rules and ML
Does machine learning replace rules or can they work together?
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Dan Capellupo
[#9] Crowdsourcing Data Science
How much do subjective analytical choices influence one's results?
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Dan Capellupo
[#8] Data Science, in General
How should companies prioritize hiring generalists over specialists, and how does that affect your job search?
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Dan Capellupo
[#7] All Roads Lead to Data Science
There are many unique paths to becoming a data scientist
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Dan Capellupo
December 2020
[#6] The Missing Piece of the Most Popular Online Data Science Courses
Explainability and ethics in machine learning and AI should be introduced to aspiring data scientists from the beginning
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Dan Capellupo
[#5] The Top Statistics Ideas of the Last 50 Years
The most important developments in statistics since 1970 and their connection to modern data science
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Dan Capellupo
[#4] Machine Learning versus Statistics
How do machine learning practitioners differ from statisticians in their approach to a problem?
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Dan Capellupo
© 2023 Dan Capellupo
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