Here’s a great round up of the announcements coming out of Build 2019 today.

Microsoft is experimenting with features that let developers work from anywhere, on any device. The company today announced a private preview for three such new capabilities: Remote-powered developer tools, cloud-hosted developer environments, and a browser-based web companion tool. If the future of work is remote, Microsoft wants to be ready.

Good news for .NET developers who want to do more AI, but want to leverage their experience with C#.

Instead of glibly telling .NET developers to go learn Python, Microsoft is letting them know that they can now do machine learning work in the more familiar surroundings of the mainstream C# language. ML.NET makes this possible, and Microsoft has a GitHub repo with an array of samples to help .NET developers see how.

Here’s a great tutorial on how to get started with the new Jetson Nano.

In this tutorial, you will learn how to get started with your NVIDIA Jetson Nano, including: First boot Installing system packages and prerequisites Configuring your Python development environment Installing Keras and TensorFlow on the Jetson Nano Changing the default camera Classification and object detection with the Jetson Nano I’ll […]

What will the future of Data Science work look like when technologies like AutoML promise to automate much of it?

Here’s an interesting look from TDWI.

AutoML is the umbrella term for tools and platforms that automate the steps of selecting the right model and optimizing its hyperparameters to generate the best model possible under a given set of data. There are libraries such as auto-sklearn and auto-WEKA that provide these autoML capabilities.

In this video, watch Siraj Raval build a cryptocurrency trading bot called GradientTrader, and he shows you the tools used to build it.It uses a graphical interface that lets you back-test on historical data, simulate paper trading, and implement a custom trading strategy for the real markets. The technique I used was a cutting edge Deep Reinforcement Learning strategy called Multi Agent Actor Critic.

Chevron’s Canada Business Unit manually mined critical data from drilling and completion reports; a laborious, time-consuming and error-prone process.

The company is now using Microsoft Form Recognizer (a new Microsoft cognitive service) together with UiPath’s robotic process automation platform to automate the extraction of data and move it into back-end systems for analysis. Subject matter experts will have more time to focus on higher-value activities and information will flow more rapidly, accelerating operational control and enabling the company to analyze its business with greater speed, accuracy, and depth.

Build 2019 kicked off this morning and here’s a great round up post highlighting the top 10 things to check out.

Microsoft Build is underway in Seattle, and this year’s premier developer conference is focused on empowering developers of all kinds, from experienced computer scientists to tech beginners with big ideas. We’re sharing the latest on Microsoft platforms, tools and services that are making it easier to create and innovate […]