Understanding Temporal Fusion Transformer

Breakdown of Google’s Temporal Fusion Transformer (2021) for interpretable multi-horizon and multivariate time series forecasting.

Forecasting book sales with Temporal Fusion Transformer

A step-by-step guide on how to use Temporal Fusion Transformer for book sales forecasting. We use the model implementation that is available in Pytorch Forecasting library along with Kaggle’s “tabular playground series” dataset.

Exploring BERT: Feature extraction & Fine-tuning

Notes about Spark internals

This article presents a summary of Apache Spark concepts and internal characteristics. I also include a brief…

TigerGraph Overview

A comprehensive overview of TigerGraph, highlighting its scalable system architecture and describing its unique data science…

An Anomaly Detection application Architecture Design

A Recommender System Architecture Design

As the second installment in a blog series on Machine Learning system design, we present…