This neural net will generate a soundscape to go with wherever in Google Maps you happen to be viewing...
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Data Science Articles & Videos
Are you curious about using Machine Learning in the browser? I took a basic TensorFlow.js example, put a neat graph on it and commented every line of code, so you can play with it!!...
Standardizing a Machine Learning Framework for Applied Research –
PyTorch vs MXNet
Until now, the Machine Learning (ML) frameworks we’ve used at Borealis AI have varied according to individual preference. But as our applied team grows, we’re finding that a preference-based system has certain shortcomings that have led to inefficiencies and delays in our research projects. As a result, we identified two main arguments in favour of standardizing a single framework for the lab...
Data Scientist - SQUAD - NYC
SQAD LLC is on the cutting edge of digital and traditional, media cost measurement and forecasting. Recognized as an industry pioneer, SQAD’s data and systems serve the some of the biggest brands in media. SQAD provides reliable media cost data to advertising agencies, media buying companies, advertisers, television and radio stations, cable companies, program syndicators and Internet publishers.
What you’ll do: You will be part of a talented Dev-Ops team that is responsible for designing and developing cloud-based data solutions utilizing best-of-breed open source tools and data technologies...
Training & Resources
Create A PyTorch Identity Matrix
Learn how to create a PyTorch identity matrix by using the PyTorch eye operation, via a screencast video and full tutorial transcript...
Rules of Machine Learning - Best Practices for ML Engineering
This document is intended to help those with a basic knowledge of machine learning get the benefit of Google's best practices in machine learning. It presents a style for machine learning, similar to the Google C++ Style Guide and other popular guides to practical programming. If you have taken a class in machine learning, or built or worked on a machine-learned model, then you have the necessary background to read this document...
Fashion-MNIST with tf.Keras
This is a tutorial of how to classify the Fashion-MNIST dataset with tf.keras, using a Convolutional Neural Network (CNN) architecture. In just a few lines of code, you can define and train a model that is able to classify the images with over 90% accuracy, even without much optimization...