Pinned

1. ai-fairness Public

   Notes, references and materials on AI Fairness that I found useful and helped me in my research. Recommendations are welcome.

   5 1

2. heat-diffusion-equation Public

   Finite-Difference Approximations to the Heat Equation. Implementation of schemes: Forward Time, Centered Space; Backward Time, Centered Space; Crank-Nicolson.

   Jupyter Notebook 13

3. lorenz-attractor-chaos-theory Public

   Evaluating the Lorenz Attractor using Runge-Kutta, Predictor-Corrector and Euler methods.

   Jupyter Notebook 3 2

4. machine-learning-studies Public

   Machine Learning studies. Current approaches: Data processing, model training, evaluation performance and parameter adjustment for better performance.

   Jupyter Notebook 3

5. data-science-ml-books Public

   Data Science & Machine Learning Books that people should read. Currently my personal reading list.

   1 1

6. differential-privacy Public

   Notes, references, and materials about Differential Privacy that I found useful for my research. Recommendations are welcome.