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 read

• Attribution and Counterfactuals - SHAP, LIME and DiCE
  Posted June 19, 2021 - 10 min read

• Is Covid Crisis Lead to Prosperity - Causal Inference from a Counterfactual World Using Facebook Prophet
  Posted June 12, 2021 ‐ 12 min read

• La 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 read

• Why Covariance Matrix Should Be Positive Semi-Definite, Tests Using Breast Cancer Dataset
  Posted May 23, 2021 ‐ 8 min read

• Calculus - Gradient Descent Optimization through Jacobian Matrix for a Gaussian Distribution
  Posted May 15, 2021 ‐ 12 min read

• With 20 Watts, We Built Cultures and Civilizations - Story of a Spiking Neuron
  Posted May 9, 2021 ‐ 13 min read

• Causal 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 read

• Information Gain, Gini Index - Measuring and Reducing Uncertainty for Decision Trees
  Posted April 17, 2021 ‐ 9 min read

• KL-Divergence, Relative Entropy in Deep Learning
  Posted April 10, 2021 ‐ 5 min read

• Shannon’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 read

• Understaning Uncertainty, Deterministic to Probabilistic Neural Networks
  Posted March 19, 2021 ‐ 8 min read

• Understanding 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