Categories Work Experiences From psychologist to CS PhD Student Communicating Data Science Cross disciplinary projects DSO Advice Roles Bayesian Inference Coordinate Ascent Mean-field Variational Inference (Univariate Gaussian Example) Dirichlet Process Gaussian Mixture Models (Generation) Gibbs Sampling on Dirichlet Multinomial Naive Bayes (Text) Markov Chain Monte-Carlo EM Algorithm for Gaussian mixtures Conjugate Priors Closed form Bayesian Inference for Binomial distributions Misc Adversarial NLP examples with Fast Gradient Sign Method Recipe for building jq from source without admin(sudo) rights Modes of Convergence Gotchas in Cython; Handling numpy arrays in cython class Migrating from python 2.7 to python 3 (and maintaining compatibility) Algorithms on Graphs: Fastest Route Machine Learning Likelihood weighted Sequential Importance Sampling Some QA from Deep Learning (CS 462/482) Variance of the Estimator in Machine Learning The Sigmoid in Regression, Neural Network Activation and LSTM Gates Coordinate Ascent Mean-field Variational Inference (Univariate Gaussian Example) Onboarding for Practical Machine Learning Research Jacobian, Chain rule and backpropagation Gradients, partial derivatives, directional derivatives, and gradient descent Calculus for Machine Learning Calculus PyTorch Automatic differentiation for non-scalar variables; Reconstructing the Jacobian Lagrange Multipliers and Constrained Optimization Taylor Series approximation, newton's method and optimization Hessian, second order derivatives, convexity, and saddle points Jacobian, Chain rule and backpropagation Gradients, partial derivatives, directional derivatives, and gradient descent Derivatives, differentiability and loss functions Calculus for Machine Learning Optimization Equivalence of constrained and unconstrained form for Ridge Regression Lagrange Multipliers and Constrained Optimization Taylor Series approximation, newton's method and optimization Gradients, partial derivatives, directional derivatives, and gradient descent Projects A minimum keystroke (py)Debugger for Lazy ML/DS people who don't IDE Studying drug-drug interactions and predictors of adverse vascular outcomes Capturing Last-mile Transactions of Smallholder Palm Oil Farmers PyTorch Clean TreeLSTMs implementation in PyTorch using NLTK treepositions and Easy-First Parsing Pad pack sequences for Pytorch batch processing with DataLoader PyTorch Automatic differentiation for non-scalar variables; Reconstructing the Jacobian Review Neural Tangent Kernel, Every Model trained by GD is a kernel machine (Review) NEURIPS 2020 EMNLP 2020 Some Clustering Papers at ICLR20 Arithmetic(Book)