Logo: 
Areas Served: 
Emoticon and Emoji in Text Mining
Author(s): Dhilip Subramanian Originally published on Towards AI. Converting Emoticon and Emoji into word form using Python Source: wallpaperplay In today’s online communication, emojis and emoticons are becoming the primary language that allows us to communicate with anyone globally when you need …
The Too-small World of Artificial Intelligence
Author(s): Sergii Shelpuk Originally published on Towards AI. Overcrowded and overlooked parts of the AI world I spent the last eight years as an insider of the artificial intelligence (AI) community, working for different companies and in various roles. At DeepTrait, with …
A Gentle Introduction to Graph Embeddings
Author(s): Edward Ma Originally published on Towards AI. TransE Top highlight Photo by Edward Ma on Unsplash Instead of using traditional machine learning classification tasks, we can consider using graph neural network (GNN) to perform node classification problems. By providing an explicit …
Autonomization: The Future of Jobs
Author(s): Heidar (Amir) Pirzadeh Originally published on Towards AI. Yeah, yet another article on the future of jobs! I mean it’s always safe and easy: if someone predicts this type of thing correctly they will be remembered and they can brag about …
How To Use Counterfactual Evaluation To Estimate Online AB Test Results
Author(s): ___ Originally published on Towards AI. Definition In this article, I will explain a principled approach to estimate the expected performance of a model in an online AB test using only offline data. This is very useful to help decide which …
Death, Taxes and AI-enabled Social Media
Author(s): Dr. Adam Hart Originally published on Towards AI. The 13th Century Chichester Guildhall “Bad as he is, the Devil may be abus’d, Be falsly charg’d, and causelesly accus’d, When Men, unwilling to be blam’d alone, Shift off these Crimes on Him …
Random Walk in Node Embeddings (DeepWalk, node2vec, LINE, and GraphSAGE)
Author(s): Edward Ma Originally published on Towards AI. Graph Embeddings Top highlight Photo by Steven Wei on Unsplash Instead of using traditional machine learning classification tasks, we can consider using graph neural network (GNN) to perform node classification problems. By providing an …
A Practical Tip When Working With Random Samples On Spark
Author(s): ___ Originally published on Towards AI. In this article, I will share a crucial tip when using Spark to analyze a random sample of a data frame. The code to reproduce the results can be found here. It’s an HTML version …
When Variance and Standard Deviation Fail to Explain Variability!
Author(s): Astha Puri Originally published on Towards AI. We all know the definition of variance — it helps us understand how dispersed the data points are, around the mean. If the data points are far off from the mean, we have larger …
Don’t believe ScoMo: What AI means for us in 2020+
Author(s): Dr. Adam Hart Originally published on Towards AI. © OpenClipart-Vectors courtesy Pixabay The history of the government of people is superficially a history of the tensions between personal liberty and social responsibility for the greater good. This is what we’re taught …
Top Restaurant Finder Nearby
Author(s): Chittal Patel Originally published on Towards AI. Photo by Jay Wennington on Unsplash Introduction In this project, I created a Basic Data Science Project namely Top Restaurant Finder which will give the top Restaurants near your address. I did explore the …
Generate Quotes with Web Scrapping, Glove Embeddings, and LSTM in Pytorch
Author(s): Lakshmi Narayana Santha Originally published on Towards AI. Introduction With the rise of advancement in research in NLP specially in Language Models, text generation – a classical machine learning task which solved using Recurrent Networks. In this article we walk through …
Building a Spam Detector Using Python’s NTLK Package
Author(s): Bindhu Balu Originally published on Towards AI. NTLK — Natural Language ToolKit In this part, we will go through an end to end walkthrough of building a very simple text classifier in Python 3. Our goal is to build a predictive …
4 Graph Neural Networks you Need to Know (WLG, GCN, GAT, GIN)
Author(s): Edward Ma Originally published on Towards AI. Top highlight Photo by Edward Ma on Unsplash We went through Knowledge Graph Embeddings and Random Walk in previous graph neural network stories. Knowledge graph embeddings train entity embeddings for downstream tasks. On the …
Why Batch Normalization Matters?
Author(s): Aman Sawarn Originally published on Towards AI. Understanding why batch normalization works, along with its intuitive elegance. Batch Normalization(BN) has become the-state-of-the-art right from its inception. It enables us to opt for higher learning rates and use sigmoid activation functions even …
Popular posts
Updates
Recent Posts
