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 …
Knowledge Graph – A Powerful Data Science Technique to Mine Information from Text (with Python code)
Overview Knowledge graphs are one of the most fascinating concepts in data science Learn how to build a knowledge graph using text from Wikipedia …
How Search Engines like Google Retrieve Results: Introduction to Information Extraction using Python and spaCy
Overview How do search engines like Google understand our queries and provide relevant results? Learn about the concept of information extraction We will apply …
Building a Recommendation System using Word2vec: A Unique Tutorial with Case Study in Python
Overview Recommendation engines are ubiquitous nowadays and data scientists are expected to know how to build one Word2vec is an ultra-popular word embeddings used …
How to Build an Effective Data Science Resume? 4 Key Aspects that Will Make or Break your Application
Overview How can you build an effective and powerful data science resume that will win over recruiters? Here are 4 key aspects you should …
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 …
Predicting Movie Genres using NLP – An Awesome Introduction to Multi-Label Classification
Learn how to build a NLP multi-label classification model for predicting movie genres. This is an awesome Natural Language Processing (NLP) challenge!
A Step-by-Step NLP Guide to Learn ELMo for Extracting Features from Text
ELMo is one of the best state-of-the-art frameworks to extract features from a given text dataset. Learn how to use it in Python in this article.
A Must-Read NLP Tutorial on Neural Machine Translation – The Technique Powering Google Translate
Machine translation is one of the biggest application of NLP. It’s the core system behind Google Translate. Learn how to implement it in Python here.
Tutorial on Text Classification (NLP) using ULMFiT and fastai Library in Python
ULMFiT is essentially a method to enable transfer learning for any NLP task and achieve great results. All this, without having to train models from scratch.
