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Artificial Intelligence
Boosting Model Accuracy: Techniques I Learned During My Machine Learning Thesis at Spotify (+Code Snippets)
A tech data scientist’s stack to enhance stubborn ML modelsThis text is certainly one of a two-part piece documenting my learnings from my Machine Learning Thesis at Spotify. You should definitely also try the...
Artificial Intelligence
How machine learning models can amplify inequities in medical diagnosis and treatment
Prior to receiving a PhD in computer science from MIT in 2017,...
Artificial Intelligence
Mastering Monte Carlo: Simulate Your Method to Higher Machine Learning Models
Within the Monte Carlo method, the pi estimate relies on the proportion of “darts” that land contained in the circle to the overall variety of darts thrown. The resulting estimated pi value is used...
Artificial Intelligence
Double Machine Learning Simplified: Part 2 — Targeting & the CATE
Learn the way to utilize DML for estimating individual level treatment effects to enable data-driven targetingThis text is the 2nd in a 2 part series on simplifying and democratizing Double Machine Learning. Within the...
Artificial Intelligence
Applying Machine Learning to the Evaluation of Fuel Emissions Dataset Overview Exploratory Data Evaluation Constructing Regression Models Data Preparation Conclusion
Welcome to my blog, where I express my interest for applying machine learning to discover long-term solutions to environmental problems. Today, I’d need to discuss one of the vital pressing problems with our time:...
Artificial Intelligence
How I Won at Italian Fantasy Football ⚽ Using Machine Learning
Where it failed or might be improvedThe algorithm’s weak point lays in predicting the performance of goalkeepers. A separate neural network was developed, utilizing different features and adding clean sheet probability as an output....
Artificial Intelligence
Harnessing the Power of AI and Machine Learning to Solve Global Financial Problems.
Unmasking Deception with Intelligent Algorithms Financial fraud is a pervasive problem that drains resources and undermines trust. By deploying AI and ML algorithms, financial institutions can swiftly detect fraudulent activities by analyzing large...
Artificial Intelligence
Machine Learning Made Intuitive
ML: all you have to know with none overcomplicated mathHere, the sigma represents the sigmoid activation function. Great, so now we have our model, and we just have to determine what weights and biases...
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