A more human-like and versatile chatbot | Continue reading
Spend more time modeling, and less time managing infrastructures. A hands-on tutorial. | Continue reading
A look at the bottleneck around deploying massive models to production | Continue reading
Let’s have some fun with JavaScript while implementing realistic 2D physics simulations and visualization! | Continue reading
A look at the bottleneck around deploying massive models to production | Continue reading
Improving model sensitivity and accuracy by attaching attention gates on top of the standard U-Net | Continue reading
To keep you updated with the latest and coolest machine learning advancements | Continue reading
Here’s what you need to know about the largest data repository in the world | Continue reading
Uber Data Science Interview Questions | Continue reading
The State of Deep Learning Frameworks in 2020 | Continue reading
Professional machine learning tools are both the foundation and scaffolding for building successful ML based products. | Continue reading
I work with Jupyter Notebooks every day. And every day I use and edit Python libraries. Both are key elements in my work. Notebooks are a… | Continue reading
Does “Early-Stopping” really ensure the AI model generalization? | Continue reading
The 4 tools I used to teach myself data science without spending a dollar | Continue reading
In late August 2019, researchers at Google released a paper titled Weight Agnostic Neural Networks, opening our eyes to a missing piece of… | Continue reading
Combining card games and topic modeling | Continue reading
The easiest way to start using NLP in your projects | Continue reading
NLP for CCPA and Privacy | Continue reading
The academia to industry transition can be hard. Managers and ex-academics need to recognise the differences between the two worlds. | Continue reading
The backbone of programs | Continue reading
How to build real software with natural language processing | Continue reading
Pull stock prices from online API and perform predictions using RNN & LSTM with TensorFlow.js (include demo and codes) | Continue reading
Your ROI is suffering from an inability to hire properly. | Continue reading
Shared by a data scientist | Continue reading
When we started building Cortex, a platform for deploying machine learning models in production, we knew we wanted it to run as a… | Continue reading
Since 1600, the city has erected 298 statues, from which 49 are dedicated to women. From these, only a small percentage depict female… | Continue reading
Improve segmentation accuracy with a series of nested, dense skip pathways | Continue reading
Learn from my notes for the Deep Learning course on DeepLearning.ai | Continue reading
How you don’t have to be a data scientist to acquire useful data science skills | Continue reading
Introduce the VeriTensor code method that you can apply to your Tensorflow code to make debugging more effective. | Continue reading
Are your intuitions about probability as good as you think? | Continue reading
An extensive introduction into neuroevolution, its theoretic foundations and the landmark research of the field. | Continue reading
A comprehensive top-down introduction to the inner workings of the HDBSCAN clustering algorithm and key concepts of density-based… | Continue reading
Redefining the data extraction patterns to follow “Functional Data Engineering” best practices | Continue reading
Breakthrough: how can we seamlessly incorporate combinatorial solvers in deep neural networks. A summary of our ICLR 2020 spotlight paper. | Continue reading
Current status & challenges to advance the field forward | Continue reading
The anatomy and theory-crafting of NEON.LIFE, Samsung’s new ‘Artificial Human’ | Continue reading
Spend more time modeling, and less time managing infrastructures. A hands-on tutorial. | Continue reading
Too good to be true? | Continue reading
Starting any project from scratch can be daunting task… But not if you have this ultimate Python project blueprint! | Continue reading
I get it — You are tired of searching for datasets online for your machine learning project or maybe for analyzing a popular Twitter trend. | Continue reading
Randomized controlled trials, imperfect compliance, and the counterfactual time machine | Continue reading
How to prevent costly failures in high-risk data science applications | Continue reading
Production machine learning is about more than just algorithms | Continue reading
OpenCV is a powerful library for image and video manipulation, in this story, I would like to create a motion heatmap useful for detecting… | Continue reading
Making your Data Analysis experiments reproducible saves time for you and others in the long term | Continue reading
Scaling machine learning can get real expensive, real fast | Continue reading
A short post about BERT and NLP projects in 2019 | Continue reading