Algorithm, Deep Learning, Intermediate, NLP, Sound Processing Leave a comment

An Introductory Guide to Understand how ANNs Conceptualize New Ideas (using Embedding)

Introduction Here’s something you don’t hear everyday – everything we perceive is just a best case probabilistic prediction by our brain, based on our past encounters and knowledge gained through other mediums. This might sound extremely counter intuitive because we have always imagined that our brain mostly gives us deterministic answers. We’ll do a small experiment to showcase this logic. Take a look at the below image: Q1. Do you see a human ? Q2. Can you identify the person? […]

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Classification, Deep Learning, Intermediate, Libraries, Machine Learning, NLP, Programming, Python, Supervised, Text, Unstructured Data Leave a comment

Tutorial on Text Classification (NLP) using ULMFiT and fastai Library in Python

Introduction Natural Language Processing (NLP) needs no introduction in today’s world. It’s one of the most important fields of study and research, and has seen a phenomenal rise in interest in the last decade. The basics of NLP are widely known and easy to grasp. But things start to get tricky when the text data becomes huge and unstructured. That’s where deep learning becomes so pivotal. Yes, I’m talking about deep learning for NLP tasks – a still relatively less […]

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Advanced, NLP, Python, Social Media, Technique, Text, Unstructured Data, Unsupervised, Word Embeddings Leave a comment

A Step-by-Step NLP Guide to Learn ELMo for Extracting Features from Text

Introduction I work on different Natural Language Processing (NLP) problems (the perks of being a data scientist!). Each NLP problem is a unique challenge in its own way. That’s just a reflection of how complex, beautiful and wonderful the human language is. But one thing has always been a thorn in an NLP practitioner’s mind is the inability (of machines) to understand the true meaning of a sentence. Yes, I’m talking about context. Traditional NLP techniques and frameworks were great when […]

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Beginner, Data Science, Listicle, NLP, Reinforcement Learning, Videos Leave a comment

11 Superb Data Science Videos Every Data Scientist Must Watch

Overview Presenting 11 data science videos that will enhance and expand your current skillset We have categorized these videos into three fields – Natural Language Processing (NLP), Generative Models, and Reinforcement Learning Learn how the concepts in these videos work and build your own data science project!   Introduction I love learning and understanding data science concepts through videos. I simply do not have the time to pour through books and pages of text to understand different ideas and topics. […]

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Intermediate, NLP, Python, Technique, Text, Unstructured Data Leave a comment

NLP Essentials: Removing Stopwords and Performing Text Normalization using NLTK and spaCy in Python

Overview Learn how to remove stopwords and perform text normalization in Python – an essential Natural Language Processing (NLP) read We will explore the different methods to remove stopwords as well as talk about text normalization techniques like stemming and lemmatization Put your theory into practice by performing stopwords removal and text normalization in Python using the popular NLTK, spaCy and Gensim libraries   Introduction Don’t you love how wonderfully diverse Natural Language Processing (NLP) is? Things we never imagined […]

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Advanced, Cyber Security, Deep Learning, NLP, Project, Python, Semi-supervised, Technique, Text, Unstructured Data Leave a comment

An Exhaustive Guide to Detecting and Fighting Neural Fake News using NLP

Overview Neural fake news (fake news generated by AI) can be a huge issue for our society This article discusses different Natural Language Processing methods to develop robust defense against Neural Fake News, including using the GPT-2 detector model and Grover (AllenNLP) Every data science professional should be aware of what neural fake news is and how to combat it   Introduction Fake news is a major concern in our society right now. It has gone hand-in-hand with the rise […]

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Advanced, Algorithm, NLP, Python, Text, Unstructured Data Leave a comment

What is Tokenization in NLP? Here’s All You Need To Know

Highlights Tokenization is a key (and mandatory) aspect of working with text data We’ll discuss the various nuances of tokenization, including how to handle Out-of-Vocabulary words (OOV)   Introduction Language is a thing of beauty. But mastering a new language from scratch is quite a daunting prospect. If you’ve ever picked up a language that wasn’t your mother tongue, you’ll relate to this! There are so many layers to peel off and syntaxes to consider – it’s quite a challenge. […]

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Beginner, Career, Computer Vision, Data Exploration, Data Visualization, Deep Learning, Education, Excel, Interviews, Learning Path, NLP, Python, SQL, Statistics, Tableau, TIME SERIES Leave a comment

A Comprehensive Step-by-Step Guide to Become an Industry-Ready Data Science Professional

Introduction to Artificial Intelligence and Machine Learning Artificial Intelligence (AI) and its sub-field Machine Learning (ML) have taken the world by storm. From face recognition cameras, smart personal assistants to self-driven cars. We are moving towards a world enhanced by these recent upcoming technologies. It’s the most exciting time to be in this career field! The global Artificial Intelligence market is expected to grow to $400 billion by the year 2025. From Startups to big organizations, all want to join […]

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Machine Learning

PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated Contents

Neural Machine Translation (NMT) has shown drastic improvement in its quality when translating clean input, such as text from the news domain. However, existing studies suggest that NMT still struggles with certain kinds of input with considerable noise, such as User-Generated Contents (UGC) on the Internet… To make better use of NMT for cross-cultural communication, one of the most promising directions is to develop a model that correctly handles these expressions. Though its importance has been recognized, it is still […]

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Machine Learning

Handwriting Classification for the Analysis of Art-Historical Documents

Digitized archives contain and preserve the knowledge of generations of scholars in millions of documents. The size of these archives calls for automatic analysis since a manual analysis by specialists is often too expensive… In this paper, we focus on the analysis of handwriting in scanned documents from the art-historic archive of the WPI. Since the archive consists of documents written in several languages and lacks annotated training data for the creation of recognition models, we propose the task of […]

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