Besim Ismaili

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Natural Language Processing

Rapid Development & Performance in Spark For Data Scientists

Spark is a cluster computing framework that can significantly increase the efficiency and capabilities of a data scientist’s workflow when dealing …

Nearest neighbors and vector models – part 2 – algorithms and data structures

<i>This is a blog post rewritten from a presentation at NYC Machine Learning on Sep 17. It covers a library called Annoy that I have built that helps</i> …

Machine Learning
Data Science

Image Recognition

Our brains make vision seem easy. It doesn't take any effort for humans to tell apart a lion and a jaguar, read a sign, or recognize a human's face. …

Deep Learning
Deep Learning

Implementing a CNN for Text Classification in TensorFlow

The full code is available on Github. In this post we will implement a model similar to Kim Yoon’s Convolutional Neural Networks for Sentence …

Deep Learning

Three things I wish I knew earlier about Machine Learning

I’ve been working with Machine Learning models both in academic and industrial settings for a few years now. I’ve recently been watching the …

Machine Learning

Common Probability Distributions: The Data Scientist’s Crib Sheet

<b>Data scientists have hundreds of probability distributions from which to choose. Where to start?</b>Data science, whatever it may be, remains a big deal. …

Data Science

Introducing d3-scale

I’d like D3 to become the standard library of data visualization: not just a tool you use directly to visualize data by writing code, but also a …

The $200 Uber Ride And The Realtime Data-Driven Sharing Economy

In what has become a holiday tradition, the morning after major events like New Year’s Eve is dominated by headlines of horror stories about Uber surge pricing, with yesterday morning being no exception. ABC News reported today on a couple who paid nearly $70 for a normally $10 ride after four …