Readings in applied data science
- teaching
- data-science
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Readings in applied data science
Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
get started with ARKit - a little exercise for beginners
Presentations from H2O meetups & conferences by the H2O.ai team
Materials for GWU DNSC 6279 and DNSC 6290.
Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA
Cyber Defence Monitoring Course Suite :: Suricata, Arkime (and others in the past)
Learn Advanced React Hooks workshop
ECE 459: Programming for Performance, Winter 2015
Coq development for the course "Mechanized semantics", Collège de France, 2019-2020
📊 🌐 🧑🏫 Website for graduate-level course on program evaluation and causal inference using R, built with Quarto
Repo for Selenium Conference Appium Workshop
mongodb-aggregate-adventure will run through a series of MongoDB aggregation workshops. Starting at a basic aggregation tasks and moving on to more advanced exercises about dealing with aggregation using MongoDB.
Advanced introduction to R in French.