Archives for July 2019

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Fast Implied Volatilities using Chebyshev Interpolation nag.com

Published July 13, 2019 under Quant Finance

Calculating Black-Scholes implied volatilities is a key part of financial modelling, and is not easy to do efficiently.

The benchmark in this field is the iterative method due to Peter Jaeckel (2015), though some banks have their own methods. NAG have teamed up with Dr Kathrin Glau and her colleagues from Queen Mary University of London to see whether their research in Chebyshev interpolation could be combined with NAG’s expertise in efficient computing to provide a faster way of obtaining implied volatilities.

Build a Celebrity Look-Alike Detector with Azure’s Face Detect and Python pbpython.com

Published July 13, 2019 under Computer Vision

This article describes how to to use Microsoft Azure’s Cognitive Services Face API and python to identify, count and classify people in a picture. In addition, it will show how to use the service to compare two face images and tell if they are the same person. We will try it out with several celebrity look-alikes to see if the algorithm can tell the difference between two similar Hollywood actors. By the end of the article, you should be able to use these examples to further explore Azure’s Cognitive Services with python and incorporate them in your own projects.

Keras ImageDataGenerator and Data Augmentation pyimagesearch.com

Published July 13, 2019 under Data Science

In today’s tutorial, you will learn how to use Keras’ ImageDataGenerator class to perform data augmentation. I’ll also dispel common confusions surrounding what data augmentation is, why we use data augmentation, and what it does/does not do.

Python Machine Learning Tutorial: Predicting Airbnb Prices dataquest.io

Published July 13, 2019 under Data Science

Machine learning is pretty undeniably the hottest topic in data science right now. It’s also the basic concept that underpins some of the most exciting areas in technology, like self-driving cars and predictive analytics. Searches for Machine Learning on Google hit an all-time-high in April of 2019, and they interest hasn’t declined much since.

An open-source Python library for building data applications medium.com

Published July 13, 2019 under Data Science

Today the team at Elementl is proud to announce an early release of Dagster, an open-source library for building systems like ETL processes and ML pipelines. We believe they are, in reality, a single class of software system. We call them data applications.

A Visual Intro to NumPy and Data Representation github.io

Published July 1, 2019 under Python

Make your Photos Look Trippy! Build a Photo Filter From Scratch with Python medium.com

Published July 1, 2019 under Data Science

This tutorial will show you how to develop, completely from scratch, a stand-alone photo editing app to add filters to your photos using Python, Tkinter, and OpenCV!

Portable Computer Vision: TensorFlow 2.0 on a Raspberry Pi towardsdatascience.com

Published July 1, 2019 under Computer Vision

For roughly $100 USD, you can add deep learning to an embedded system or your next internet-of-things project.

Are you just getting started with machine/deep learning, TensorFlow, or Raspberry Pi? Perfect, this blog series is for you!

Snagging Parking Spaces with Mask R-CNN and Python medium.com

Published July 1, 2019 under Computer Vision

But like in most cities, finding a parking space here is always frustrating. Spots get snapped up quickly and even if you have a dedicated parking space for yourself, it’s hard for friends to drop by since they can’t find a place to park.

My solution was to point a camera out the window and use deep learning to have my computer text me when a new parking spot opens up.