Python tutorials

October 31, 2020 Advanced, Algorithm, Deep Learning, NLP, Python, Sequence Modeling, Supervised Leave a comment

Essentials of Deep Learning : Introduction to Long Short Term Memory

Introduction Sequence prediction problems have been around for a long time. They are considered as one of the hardest problems to solve in the data science industry. These include a wide range of problems; from predicting sales to finding patterns in stock markets’ data, from understanding movie plots to recognizing your way of speech, from language translations to predicting your next word on your iPhone’s keyboard. With the recent breakthroughs that have been happening in data science, it is found […]

October 31, 2020 Classification, Data Science, Intermediate, NLP, Project, Python, Supervised, Technique, Text, Unstructured Data Leave a comment

An NLP Approach to Mining Online Reviews using Topic Modeling (with Python codes)

Introduction E-commerce has revolutionized the way we shop. That phone you’ve been saving up to buy for months? It’s just a search and a few clicks away. Items are delivered within a matter of days (sometimes even the next day!). For online retailers, there are no constraints related to inventory management or space management They can sell as many different products as they want. Brick and mortar stores can keep only a limited number of products due to the finite space […]

October 31, 2020 Deep Learning, Intermediate, Libraries, NLP, Programming, Python, Text, Unstructured Data Leave a comment

Introduction to StanfordNLP: An Incredible State-of-the-Art NLP Library for 53 Languages (with Python code)

Introduction A common challenge I came across while learning Natural Language Processing (NLP) – can we build models for non-English languages? The answer has been no for quite a long time. Each language has its own grammatical patterns and linguistic nuances. And there just aren’t many datasets available in other languages. That’s where Stanford’s latest NLP library steps in – StanfordNLP. I could barely contain my excitement when I read the news last week. The authors claimed StanfordNLP could support more […]

October 31, 2020 Advanced, E-Commerce, NLP, Project, Python, Recommendation, Structured Data, Technique, Unsupervised Leave a comment

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 for performing a variety of NLP tasks We will use word2vec to build our own recommendation system. Curious how NLP and recommendation engines combine? Let’s find out! Introduction Be honest – how many times have you used the ‘Recommended for you’ section on Amazon? Ever since I found out a few years back that machine […]

October 31, 2020 Advanced, Algorithm, Computer Vision, Deep Learning, NLP, Python, Unstructured Data Leave a comment

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 have been revolutionized by the attention mechanism We will learn how this attention mechanism works in deep learning, and even implement it in Python Introduction “Every once in a while, a revolutionary product comes along that changes everything.” – Steve Jobs What does one of the most famous quotes of the 21st century have to do with […]

October 31, 2020 Intermediate, NLP, Python, Technique, Unsupervised, Word Embeddings Leave a comment

An Essential Guide to Pretrained Word Embeddings for NLP Practitioners

Overview Understand the importance of pretrained word embeddings Learn about the two popular types of pretrained word embeddings – Word2Vec and GloVe Compare the performance of pretrained word embeddings and learning embeddings from scratch Introduction How do we make machines understand text data? We know that machines are supremely adept at dealing and working with numerical data but they become sputtering instruments if we feed raw text data to them. The idea is to create a representation of words […]

October 31, 2020 Beginner, NLP, Python, Technique, Unstructured Data Leave a comment

How Part-of-Speech Tag, Dependency and Constituency Parsing Aid In Understanding Text Data?

Overview Learn about Part-of-Speech (POS) Tagging, Understand Dependency Parsing and Constituency Parsing Introduction Knowledge of languages is the doorway to wisdom. – Roger Bacon I was amazed that Roger Bacon gave the above quote in the 13th century, and it still holds, Isn’t it? I am sure that […]

October 31, 2020 Advanced, Classification, NLP, Python, Supervised, Technique, Text, Unstructured Data Leave a comment

Simple Text Multi Classification Task Using Keras BERT

This article was published as a part of the Data Science Blogathon. Introduction BERT is a really powerful language representation model that has been a big milestone in the field of NLP. It has greatly increased our capacity to do transfer learning in NLP. It comes with great promise to solve a wide variety of NLP tasks. Definitely you will gain great knowledge by the end of this article, keep reading. I am sure you will get good hands-on experience […]

October 29, 2020 Clustering, Libraries, Machine Learning, NLP, Programming, Python, Technique, Text, Unstructured Data, Unsupervised Leave a comment

Introductory guide to Information Retrieval using kNN and KDTree

Introduction I love cricket as much as I love data science. A few years back (on 16 November 2013 to be precise), my favorite cricketer – Sachin Tendulkar retired from International Cricket. I spent that entire day reading articles and blogs about him on the web. By the end of the day, I had read close to 50 articles about him. Interestingly, while I was reading these articles – none of the websites suggested me articles outside of Sachin or cricket. […]

October 29, 2020 Deep Learning, Image, NLP, Project, Python, PyTorch, Sequence Modeling, Supervised, Text, Unstructured Data Leave a comment

Automatic Image Captioning using Deep Learning (CNN and LSTM) in PyTorch

Introduction Deep Learning is a very rampant field right now – with so many applications coming out day by day. And the best way to get deeper into Deep Learning is to get hands-on with it. Take up as much projects as you can, and try to do them on your own. This would help you grasp the topics in more depth and assist you in becoming a better Deep Learning practitioner. In this article, we will take a look […]

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