Building an App for Eye Filters with PoseNet
In this tutorial we'll use the pretrained PoseNet model to detect keypoints of the human body in an Android app.
3 years ago
Articles
Fighting COVID-19 with Data and AI: A Review of Active Research Groups and Datasets
In this article we'll cover 8 different active groups doing game-changing research on COVID-19 treatment, diagnosis, and prognosis, plus open datasets.
By
Vihar Kurama
Introducing Paperspace + Hugging Face 🤗
Hugging Face and Paperspace come together in collaboration to create state-of-the-art NLP tools.
By
Rachel Rapp
Introduction to Naive Bayes: A Probability-Based Classification Algorithm
Naive Bayes is one of the simplest machine learning algorithms for classification. We'll cover an introduction to Naive Bayes, and implement it in Python.
By
Vihar Kurama
Fighting Coronavirus With AI, Part 1: Improving Testing with Deep Learning and Computer Vision
This post will cover how testing is done for the coronavirus, why it's important in battling the pandemic, and how deep learning tools for medical imaging can help us improve the quality of COVID-19 testing.
3 years ago
Gradient Boosting In Classification: Not a Black Box Anymore!
In this article we'll cover how gradient boosting works intuitively and mathematically, its implementation in Python, and pros and cons of its use.
By
Vihar Kurama
How To Implement Support Vector Machine With Scikit-Learn
Support vector machine is one of the most popular classical machine learning methods. In this tutorial we'll cover SVM and its implementation in Python.
By
Dhiraj K
Neural Architecture Search Part 1: An Overview
With countless options to design neural networks, an effective architecture search algorithm would be game-changing. Here we look at the state of the art.
By
Anuj Sable
Implementing The Levenshtein Distance for Word Autocompletion and Autocorrection
This tutorial works through a step-by-step example of how to implement the Levenshtein distance in Python for word autocorrection and autocompletion.
3 years ago
