Posts

Take full advantage of all the Google Analytics features and data using its REST API and Python Link

An introduction to networks via key metrics and algorithms on a Football dataset Link

Simulating and modeling the CryptoPunks trading data via a graph Link

How to build a knowledge graph from job descriptions using fine-tuned transformer-based Named Entity Recognition (NER) and spacy’s relation extraction models. The method described here can be used in any different field such as biomedical, finance, healthcare, etc. Below are the steps we are going to take: Load our fine-tuned transformer NER and spacy relation extraction model in google colab Create a Neo4j Sandbox and add our entities and relations

FastAPI might be able to help. FastAPI is FastAPI is a web framework for building APIs with Python. We will use FastAPI in this article to build a REST API to service an NLP model which can be queried via GET request and can dole out responses to those queries. For this example, we will skip the building of our own model, and instead leverage the Pipeline class of the HuggingFace Transformers library.

Terality is a Serverless Data Processing Engine that processes the data in the Cloud. There is no need to manage infrastructure as Terality takes care of scaling compute resources. Its target audiences are Engineers and Data Scientists. Link

PODCAST EPISODES Link

This video is an introduction to Galois Theory, which spells out a beautiful correspondence between fields and their symmetry groups. Link

See how to use Listener APIs and data quality libraries to get different levels of data observability for Apache Spark. Link

Gartner expects these 12 technology trends to act as force multipliers of digital business and innovation over the next three to five years. Here’s your quick guide to what the technologies are and why they’re valuable. Link

Metaflow is a human-friendly Python library that helps scientists and engineers build and manage real-life data science projects. Metaflow was originally developed at Netflix to boost the productivity of data scientists who work on a wide variety of projects from classical statistics to state-of-the-art deep learning. Metaflow provides a unified API to the infrastructure stack that is required to execute data science projects, from prototype to production. Link

Mito — A spreadsheet interface for Python Lux — Automated Visualization Suggestions and Generation Bokeh — Create Interactive Visualizations in Python Link

Advancements in deep learning have been rapid over the past decade. While the discovery of neural networks happened almost six decades ago with the invention of the first artificial neural network in 1958 by psychologist Frank Rosenblatt (called the “perceptron”), the developments in the field did not gain true popularity until about a decade ago. The most popular achievement in 2009 was the creation of ImageNet. ImageNet is a humungous visual dataset that has led to some of the best modern-day deep learning and computer vision projects.

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Anomagram is an interactive visualization tool for exploring how a deep learning model can be applied to the task of anomaly detection (on stationary data). Given an ECG signal sample, an autoencoder model (running live in your browser) can predict if it is normal or abnormal. To try it out, click any of the test ECG signals from the ECG5000 dataset below, or better still, draw a signal to see the model’s prediction!