What are Generative Models and GANs? The Magic of Computer Vision
Overview Generative models and GANs are at the core of recent progress in computer vision applications This article will introduce you to the world …
Algorithm
Decoding the Best Machine Learning Papers from NeurIPS 2019
Introduction NeurIPS is THE premier machine learning conference in the world. No other research conference attracts a crowd of 6000+ people in one place …
A Comprehensive Guide to Attention Mechanism in Deep Learning for Everyone
Overview The attention mechanism has changed the way we work with deep learning algorithms Fields like Natural Language Processing (NLP) and even Computer Vision …
Learn How to Perform Feature Extraction from Graphs using DeepWalk
Overview Extracting features from tabular or image data is a well-known concept – but what about graph data? Learn how to extract features from …
Build Better and Accurate Clusters with Gaussian Mixture Models
Overview Gaussian Mixture Models are a powerful clustering algorithm Understand how Gaussian Mixture Models work and how to implement them in Python We’ll also …
The Most Comprehensive Guide to K-Means Clustering You’ll Ever Need
Overview K-Means Clustering is a simple yet powerful algorithm in data science There are a plethora of real-world applications of K-Means Clustering (a few …
Master Dimensionality Reduction with these 5 Must-Know Applications of Singular Value Decomposition (SVD) in Data Science
Overview Singular Value Decomposition (SVD) is a common dimensionality reduction technique in data science We will discuss 5 must-know applications of SVD here and …
OpenAI’s GPT-2: A Simple Guide to Build the World’s Most Advanced Text Generator in Python
Overview Learn how to build your own text generator in Python using OpenAI’s GPT-2 framework GPT-2 is a state-of-the-art NLP framework – a truly …
Computer Vision Tutorial: Implementing Mask R-CNN for Image Segmentation (with Python Code)
Overview Mask R-CNN is a state-of-the-art framework for Image Segmentation tasks We will learn how Mask R-CNN works in a step-by-step manner We will …
How do Transformers Work in NLP? A Guide to the Latest State-of-the-Art Models
Overview The Transformer model in NLP has truly changed the way we work with text data Transformer is behind the recent NLP developments, including …
