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Name: Oscar Engelbrektson
Type: User
Name: Oscar Engelbrektson
Type: User
Design and analysis of algorithms and data structures to solve complex problems. Techniques include hashing, searching, sorting, tree algorithms, dynamic programming etc.
Causal Inference in Statistics (Pearl). Topics covered: Structural Causal Models, Interventions, Counterfactuals and their applications.
Work on empirical comparison of synthetic control models
Software Development
Understanding trends, seasonalities, and processes of some of the most prominent greenhouse gases in the atmosphere.
Core machine learning techniques — such as classification, perceptron, neural networks, support vector machines, hidden Markov models, and nonparametric models of clustering — as well as fundamental concepts such as feature selection, cross-validation, over-fitting and expectation maximisation.
Bayesian modelling of the determinants of food prices using original dataset.
Modeling, Simulation, and Decision Making: Cellular Automata, Networks, and Monte Carlo simulations.
Connecting probability theory and statistics with Bayesian inference. Focusing on the data modeling process, probabilistic graphical models and Monte Carlo sampling.
Deploy OpenAI's GPT-2 to production
Comparative Case Studies using The Synthetic Control Method
A Python package for causal inference using Synthetic Controls
Code repository for Think Bayes.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.