PinnedAutoencoder — a neural network architectureAutoencoder or Encoder-Decoder model is a special type of neural network architecture that mainly aims to learn the hidden representation…Jun 22, 2021Jun 22, 2021
PinnedExplainable AI — using google cloud (Demo)This is my 4th story and this time is about ‘explainable AI’. The story will demonstrate using google cloud-backed explainable ai. I have…Jun 30, 2021Jun 30, 2021
PinnedShapely Value & Feature ImportanceA solution concept in cooperative game theoryJul 7, 2021Jul 7, 2021
PinnedPCA Explained with an ExamplePCA is a dimensionality reduction method that transforms data points in a larger dimensional space into much lower-dimensional space. For…Jun 15, 20211Jun 15, 20211
t-SNE Dimensionality Reduction AlgorithmIn a simple sentence t-SNE (t-distributed Stochastic Neighbourhood Embedding) is a dimensionality reduction technique or algorithm which…Jun 18, 2021Jun 18, 2021
