As millions of Americans hit the roads today for Thanksgiving travel, I wonder how different it would be if self-driving cars were the norm.

CNBC explores the current state of self-driving cars.

More companies are trying to bring self-driving cars to the masses than ever before, but a truly autonomous vehicle still doesn’t exist. It’s not clear if, or when, our driverless future will arrive. Where exactly are we with self-driving cars, and when can we expect them to be a part of our daily lives? 

Learn how you can publish your SaaS solution and start generating revenue by making it available to potential buyers on Microsoft AppSource and Azure Marketplace.

Ercenk Keresteci joins Scott Hanselman to cover the technical details of integrating a solution with Microsoft’s commercial marketplace, including how to use scripts for provisioning and de-provisioning a customer.

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Lex Fridman interviews Gilbert Strang on Linear Algebra, Deep Learning, Teaching, and MIT OpenCourseWare.

Gilbert Strang is a professor of mathematics at MIT and perhaps one of the most famous and impactful teachers of math in the world. His MIT OpenCourseWare lectures on linear algebra have been viewed millions of times. This conversation is part of the Artificial Intelligence podcast.

Azure Machine Learning compute instances (formerly Notebook VMs) is a hosted PaaS offering that supports the full lifecycle of inner-loop ML development–from model authoring, to model training and model deployment.

AzureML Compute Instances are deeply integrated with AzureML workspaces and provide a first-class experience for model authoring through integrated notebooks using AzureML Python and R SDK.

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Azure Databricks is fast, easy to use and scalable big data collaboration platform. Based on Apache Spark brings high performance and benefits of spark without need of having high technical knowledge.

You simply write Python/Scala scripts.

Learn the basics of Databricks and show common Blob Storage JSON to Blob Storage CSV transformation scenario in this video.

Samples from video:

Here is an interesting read on RNNs and how to build one from scratch in Python.

Humans do not reboot their understanding of language each time we hear a sentence. Given an article, we grasp the context based on our previous understanding of those words. One of the defining characteristics we possess is our memory (or retention power).

Can an algorithm replicate this? The first technique that comes to mind is a neural network (NN). But the traditional NNs unfortunately cannot do this. Take an example of wanting to predict what comes next in a video. A traditional neural network will struggle to generate accurate results.

That’s where the concept of recurrent neural networks (RNNs) comes into play. RNNs have become extremely popular in the deep learning space which makes learning them even more imperative. A few real-world applications of RNN include:

Azure PowerShell allows for task automation and operational management of Azure resources at no cost or effort using popular PowerShell scripting language.

In this episode of Azure 4 Everyone get an introduction to what Azure PowerShell is and how can it solve your day to day development and operational challenges.