Posts

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Jan 10, 2021
Neural Tangent Kernel, Every Model trained by GD is a kernel machine (Review)
Dec 31, 2020
Some QA from Deep Learning (CS 462/482)
Dec 12, 2020
NEURIPS 2020
Conference
Dec 2, 2020
Adversarial NLP examples with Fast Gradient Sign Method
Code samples Instructional
Nov 21, 2020
EMNLP 2020
Conference
Sep 4, 2020
Variance of the Estimator in Machine Learning
Instructional
May 8, 2020
Some Clustering Papers at ICLR20
Under construction
Apr 23, 2020
A minimum keystroke (py)Debugger for Lazy ML/DS people who don't IDE
Code samples
Mar 31, 2020
Recipe for building jq from source without admin(sudo) rights
Jan 17, 2020
The Sigmoid in Regression, Neural Network Activation and LSTM Gates
Instructional
Sep 30, 2019
Arithmetic(Book)
Under construction Book Review
Aug 11, 2019
Clean TreeLSTMs implementation in PyTorch using NLTK treepositions and Easy-First Parsing
Code samples Instructional
Jul 1, 2019
Pad pack sequences for Pytorch batch processing with DataLoader
Code samples Instructional
May 20, 2019
Modes of Convergence
Instructional
Mar 20, 2019
Coordinate Ascent Mean-field Variational Inference (Univariate Gaussian Example)
Code samples Instructional
Mar 1, 2019
Dirichlet Process Gaussian Mixture Models (Generation)
Code samples
Dec 1, 2018
Gotchas in Cython; Handling numpy arrays in cython class
Code samples
Aug 30, 2018
Onboarding for Practical Machine Learning Research
Code samples
Jul 20, 2018
Equivalence of constrained and unconstrained form for Ridge Regression
Instructional
Jul 7, 2018
Studying drug-drug interactions and predictors of adverse vascular outcomes
Hackathon
Jul 1, 2018
PyTorch Automatic differentiation for non-scalar variables; Reconstructing the Jacobian
Code samples Instructional
May 30, 2018
From psychologist to CS PhD Student
Under construction Work experience
May 28, 2018
Capturing Last-mile Transactions of Smallholder Palm Oil Farmers
Hackathon Code samples
May 10, 2018
Migrating from python 2.7 to python 3 (and maintaining compatibility)
Work experience
Apr 7, 2018
Lagrange Multipliers and Constrained Optimization
Under construction Instructional
Apr 6, 2018
Taylor Series approximation, newton's method and optimization
Instructional
Apr 5, 2018
Hessian, second order derivatives, convexity, and saddle points
Instructional
Apr 4, 2018
Jacobian, Chain rule and backpropagation
Instructional
Apr 3, 2018
Gradients, partial derivatives, directional derivatives, and gradient descent
Under construction Instructional
Apr 2, 2018
Derivatives, differentiability and loss functions
Instructional
Apr 1, 2018
Calculus for Machine Learning
Instructional
Mar 30, 2018
Algorithms on Graphs: Fastest Route
Code samples Instructional
Dec 5, 2017
Gibbs Sampling on Dirichlet Multinomial Naive Bayes (Text)
Code samples Instructional
Nov 18, 2017
Markov Chain Monte-Carlo
Under construction Instructional
Nov 16, 2017
EM Algorithm for Gaussian mixtures
Code samples Instructional
Nov 1, 2017
Communicating Data Science
Work experience
Sep 20, 2017
Cross disciplinary projects
Work experience
May 6, 2017
Conjugate Priors
Instructional
Mar 1, 2017
Closed form Bayesian Inference for Binomial distributions
Code samples Instructional
Jan 13, 2015
DSO Advice
Work experience
Aug 13, 2014
Roles
Work experience