In advance of the Data Science SALON in NYC on June 13, we asked our speakers to shed some light on how Artificial Intelligence and… | Continue reading
I participated in Santander Customer Satisfaction challenge, ran on Kaggle for 2 months and got into top 1%. | Continue reading
Last time, I discussed how gradient descent works on a linear regression model by coding it up in ten lines of python code. This was done… | Continue reading
Part four of my ongoing series about building a data science discipline at a startup. You can find links to all of the posts in the… | Continue reading
Using Voronois, single pass rendering, and canvas components for amazing user experiences | Continue reading
This is a quick guide that anybody can follow on training a machine learning model to detect open-ended questions in text. | Continue reading
Part three of my ongoing series about building a data science discipline at a startup. You can find links to all of the posts in the… | Continue reading
Putting the machine learning pieces together | Continue reading
A beginner’s guide to understanding the inner workings of Deep Learning | Continue reading
Note: as of this writing there is no official TensorFlow library for Swift, I used Swift to build the client app for prediction requests… | Continue reading
Visualizing and decoding brain activity with neural networks. | Continue reading
Finding the right hyperparameters for your deep learning model can be a tedious process. It doesn’t have to. | Continue reading
Introduction | Continue reading
Design, ethnography, and future-proof data science | Continue reading
In this article, we will be exploring how Long Short Term Memory (LSTM) networks can be used to predict Ethereum prices. By comparing the… | Continue reading
Tips and tricks on how to build efficient CNN architectures. | Continue reading
I recently started reading “Deep Learning with R”, and I’ve been really impressed with the support that R has for digging into deep… | Continue reading
I’ll use whatever tools I need to get results. But I won’t take a tool on faith. | Continue reading
A team at Google set out to make the game of pictionary more interesting, and ended up with the world’s largest doodling dataset, and a… | Continue reading
Doing cool things with data! | Continue reading
*Stationary, Auto-correlation, Differencing | Continue reading
The troubled gaze of an artificial intelligence | Continue reading
Whether you’re a new startup or an existing business, here’s one way you can get an AI-enabled product or service into production in 1… | Continue reading
In this blog post, I am going to teach you how to train a Bayesian deep learning classifier using Keras and tensorflow. Before diving into… | Continue reading
Part two of my ongoing series about building a data science discipline at a startup. You can find links to all of the posts in the… | Continue reading
This story is a step-by-step guide to how I built a language detection model using machine learning (that ended up being 97% accurate) in… | Continue reading
As we saw in Analyzing a dataset — Step1 of Machine Learning, visualizing and analyzing a dataset gives us the initial intuitions we need… | Continue reading
I recently changed industries and joined a startup company where I’m responsible for building up a data science discipline. While we… | Continue reading