Blogs, Timeline

I write AI, ML and Mathematics and this is the timeline

2021#

July (3)#

• Cocktail Party Problem - Eigentheory and Blind Source Separation Using ICA
  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