Categories Work Experiences From psychologist to CS PhD Student Migrating from python 2.7 to python 3 (and maintaining compatibility) 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 NLP Gibbs Sampling on Dirichlet Multinomial Naive Bayes (Text) Algorithms & Data Structures Algorithms on Graphs: Fastest Route Math Equivalence of constrained and unconstrained form for Ridge Regression Calculus for Machine Learning Machine Learning EMNLP 2020 Variance of the Estimator in Machine Learning Some Clustering Papers at ICLR20 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 Studying drug-drug interactions and predictors of adverse vascular outcomes Migrating from python 2.7 to python 3 (and maintaining compatibility) Programming A minimum keystroke (py)Debugger for Lazy ML/DS people who don't IDE Gotchas in Cython; Handling numpy arrays in cython class Migrating from python 2.7 to python 3 (and maintaining compatibility) Sustainability Capturing Last-mile Transactions of Smallholder Palm Oil Farmers Web App Capturing Last-mile Transactions of Smallholder Palm Oil Farmers Google Cloud Capturing Last-mile Transactions of Smallholder Palm Oil Farmers Hackathon 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 Healthcare Studying drug-drug interactions and predictors of adverse vascular outcomes Linux Onboarding for Practical Machine Learning Research Cython Gotchas in Cython; Handling numpy arrays in cython class Bayesian Nonparametrics Dirichlet Process Gaussian Mixture Models (Generation) Variational Inference Coordinate Ascent Mean-field Variational Inference (Univariate Gaussian Example) Statistics Modes of Convergence Information Theory Modes of Convergence NLTK Clean TreeLSTMs implementation in PyTorch using NLTK treepositions and Easy-First Parsing Parsing Clean TreeLSTMs implementation in PyTorch using NLTK treepositions and Easy-First Parsing Book Review Arithmetic(Book)