Stephanie Hurlburt, Binomial co-founder, joins Scott Hanselman to talk about their current projects. Stephanie covers the differences between CPU and GPU, how Binomial balances open standards with its paid products, and where to get started with open source image/texture compression. From Scott, you’ll hear about open source in healthcare, including his personal experiences with diabetes technology, where to learn more, and ways to get involved.
You’ll leave with a few new projects to check out, and, whatever you’re passionate about, there’s likely an open source community or project waiting for you to join – or start.
TensorFlow Meets Chip Huyen (@chipro), author and instructor of the TensorFlow for Deep Learning class at Stanford University: https://goo.gl/rNb6PW. In this video, she discusses the class, her journey from writing travel stories, to studying computer science, to now teaching students about deep learning at Stanford University!
Laurence Moroney sits down with Patrick Brandt, who is part of the Marketing Operations team at Coca-Cola North America. Learn about how TensorFlow was used to run one of Coca-Cola’s biggest digital marketing campaigns, which involved image classification using deep neural networks for coca-cola bottle caps.
Time series is the fastest growing category of data out there! It’s a series of data points indexed in time order.
Often, a time series is a sequence taken at successive equally spaced points in time. In this video, Siraj Raval covers 8 different time series techniques that will help us predict the price of gold over a period of 3 years.
Code for this video https://github.com/llSourcell/Time_Series_Prediction
In the first episode of this series, Dmitry and his guest Suz Hinton introduce Windows IoT Core as a way of building applications for IoT solutions. We cover some foundational topics such as how Windows IoT works, and what it is designed for. We’ll also discuss how Windows IoT applications are developed, and how they differ from regular Universal Windows Platform applications.
Featuring a brief introduction to breadboards and the Raspberry Pi, we set the scene for writing your first Windows IoT Core UWP application, detailed in the second episode of this series.
You can find all the episodes in this series as they go live in our YouTube playlist.
What is Windows Machine Learning and why should you care? In this video, Killian and Rosane walk through these questions and clarify the positioning and capabilities of this powerful AI inference engine.
In this YouTube video Adam Saxton takes a quick look at Power BI dataflows, a data preparation tool within Power BI.
Use the power of Power Query to shape your data and leverage the Common Data Model.
MIT’s Alexander Amini delivers this lecture as part of their Introduction to Deep Learning 6.S191 class.