Blogs, Timeline
I write AI, ML and Mathematics and this is the timeline
2022
May (1)
- Airflow Trigger Rules for Building Complex Data Pipelines Explained, and My Initial Days of Airflow Selection and Experience
Posted May 1, 2022 ‐ 9 min read
January (4)
- Introduction to Contrastive Loss - Similarity Metric as an Objective Function
Posted January 30, 2022 ‐ 6 min read - Temperature is Nothing but Measure of Speed of the Particles at Molecular Scale - Intro 2 Maxwell Boltzmann Distribution
Posted January 23, 2022 ‐ 8 min read - The Best Way to Minimize Uncertainty is NOT Being Informed, Surprised? Let us Measure Surprise
Posted January 14, 2022 ‐ 6 min read - 3rd Wave in India, Covid Debacle Continues - Let us Use Covid Data to Learn Piecewise LR and Exponential Curve Fitting
Posted January 7, 2020 - 8 min read
2021
December (5)
- Ever Wondered that Voice is from a Human Being or Created by a Computer? Revisiting Normalizing Flows
Posted December 31, 2021 ‐ 8 min read - Transformers Everywhere - Patch Encoding Technique for Vision Transformers(ViT) Explained
Posted December 24, 2021 ‐ 8 min read - Understanding Self Attention and Positional Encoding Of The Transformer Architecture
Posted December 17, 2021 ‐ 9 min read - TFRS for DLRMs At Enterprise Scale - A Practical Guide to Understand Deep and Cross Networks
Posted December 10, 2021 ‐ 10 min read - Quotient-Remainder Embedding, Dealing With Categorical Data In A DLRM - A Paper Review
Posted December 3, 2021 ‐ 7 min read
November (6)
- That Straight Line Looks a Bit Silly - Let Us Approximate A Sine Wave Using UAT
Posted November 29, 2021 ‐ 4 min read - Do You Know We Can Approximate Any Continuous Function With A Single Hidden Layer Neural Network - A Visual Guide
Posted November 27, 2021 ‐ 10 min read - Deep Learning is Not As Impressive As you Think, It’s Mere Interpolation
Posted November 24, 2021 ‐ 14 min read - Survival Analysis using Lymphoma, Breast Cancer Dataset and A Practical Guide to Kaplan Meier Estimator
Posted November 20, 2021 ‐ 9 min read - Bijectors of Tensorflow Probability - A Guide to Understand the Motivation and Mathematical Intuition Behind Them
Posted November 7, 2021 ‐ 11 min read - Dequantization for Categorical Data, Categorical NFs via Continuous Transformations - A Paper Review
Posted November 13, 2021 ‐ 9 min read
October (4)
- Metrics That We Measure - Measuring Efficacy of Your Machine Learning Models
Posted October 30, 2021 ‐ 7 min read - Gaussian Process and Related Ideas To Kick Start Bayesian Inference
Posted October 24, 2021 ‐ 8 min read - Istio Service Mesh, Canary Release Routing Strategies for ML Deployments in a Kubernetes Cluster
Posted October 16, 2021 ‐ 13 min read - Atoms and Bonds 2 - ML for Predicting Quantum Mechanical Properties of Organic Molecules
Posted October 8, 2021 ‐ 10 min read - Atoms and Bonds - Graph Representation of Molecular Data For Drug Detection Posted October 2, 2021 ‐ 15 min read
September (4)
- Graph Convolution Network - A Practical Implementation of Vertex Classifier and it’s Mathematical Basis
Posted September 25, 2021 ‐ 10 min read - Introduction to Graph Neural Networks
Posted September 19, 2021 ‐ 9 min read - Relooking Attention Models, SHA-RNN Overview, gMLP Briefing and Measuring Efficacy of Language Models through Perplexity
Posted September 11, 2021 ‐ 10 min read - Gossips and Epicenter of Emotions for our Existence - Study on Anatomy of Limbic System
Posted September 5, 2021 ‐ 9 min read
August (5)
- Methodus Fluxionum et Serierum Infinitarum - Numerical Methods for Solving ODEs Using Our Favorite Tools
Posted August 28, 2021 ‐ 8 min read - A Practical Guide to Univariate Time Series Models with Seasonality and Exogenous Inputs using Finance Data of FMCG Manufacturers
Posted August 21, 2021 ‐ 10 min read - Trend, Features of Structural Time Series, Mathematical Intuition Behind Trend Analysis for STS
Posted August 14, 2021 ‐ 6 min read - Fourier Series as a Function of Approximation for Seasonality Modeling - Exploring Facebook Prophet’s Architecture
Posted August 8, 2021 ‐ 8 min read - Structural Time Series Models, Why We Call It Structural? A Bayesian Scheme For Time Series Forecasting
Posted August 1, 2021 ‐ 7 min read
July (4)
- Blind Source Separation using ICA - A Practical Guide to Separate Audio Signals - Part 2
Posted July 24, 2021 ‐ 7 min read - Cocktail Party Problem - Eigentheory and Blind Source Separation Using ICA - Part 1
Posted July 18, 2021 ‐ 13 min read - Courage and Data Literacy Required to Deploy an AI Model and Exploring Design Patterns for AI
Posted July 10, 2021 ‐ 18 min read - Eigenvalue, Eigenvector, Eigenspace and Implementation of Google’s PageRank Algorithm
Posted July 3, 2021 ‐ 8 min read
June (4)
Need For Understanding Brain Functions, Introducing Medical Images - Brain, Heart and Hippocampus
Posted June 26, 2021 ‐ 11 min readAttribution and Counterfactuals - SHAP, LIME and DiCE
Posted June 19, 2021 - 10 min readIs Covid Crisis Lead to Prosperity - Causal Inference from a Counterfactual World Using Facebook Prophet
Posted June 12, 2021 ‐ 12 min readLa Memoire, C’est Poser Son Attention Sur Le Temps
Posted June 5, 2021 ‐ 10 min read
May (5)
Normalizing Flows - A Practical Guide Using Tensorflow Probability
Posted May 29, 2021 ‐ 9 min readWhy Covariance Matrix Should Be Positive Semi-Definite, Tests Using Breast Cancer Dataset
Posted May 23, 2021 ‐ 8 min readCalculus - Gradient Descent Optimization through Jacobian Matrix for a Gaussian Distribution
Posted May 15, 2021 ‐ 12 min readWith 20 Watts, We Built Cultures and Civilizations - Story of a Spiking Neuron
Posted May 9, 2021 ‐ 13 min readCausal Reasoning, Trustworthy Models and Model Explainability using Saliency Maps
Posted May 2, 2021 ‐ 9 min read
April (4)
Higher Cognition through Inductive Bias, Out-of-Distribution and Biological Inspiration
Posted April 24, 2021 ‐ 12 min readInformation Gain, Gini Index - Measuring and Reducing Uncertainty for Decision Trees
Posted April 17, 2021 ‐ 9 min readKL-Divergence, Relative Entropy in Deep Learning
Posted April 10, 2021 ‐ 5 min readShannon’s Entropy, Measure of Uncertainty When Elections are Around
Posted April 3, 2021 ‐ 6 min read
March (3)
Bayesian and Frequentist Approach to Machine Learning Models
Posted March 27, 2021 ‐ 5 min readUnderstaning Uncertainty, Deterministic to Probabilistic Neural Networks
Posted March 19, 2021 ‐ 8 min readUnderstanding Post-Synaptic Depression through Tsodyks-Markram Model by Solving Ordinary Differential Equation
Posted March 12, 2021 ‐ 9 min read
2020
December (1)
- Automatic Differentiation Using Gradient Tapes
Posted December 14, 2020 ‐ 9 min read
August (1)
- Roll your sleeves! Let us do some partial derivatives.
Posted August 14, 2020 ‐ 3 min read
July (1)
- GradCAM, Model Interpretability - VGG16 & Xception Networks
Posted July 4, 2020 ‐ 11 min read
June (1)
- ResNet50 vs InceptionV3 vs Xception vs NASNet - Introduction to Transfer Learning
Posted June 28, 2019 ‐ 23 min read
April (1)
- Tensorflow 2: Introduction, Feature Engineering and Metrics
Posted April 4, 2020 ‐ 27 min read
February (1)
- Time and Space Complexity - 5 Governing Rules
Posted February 28, 2020 ‐ 9 min read