Here’s a great talk from Microsoft Ignite about governance and compliance around Azure services.

Enabling your organization to easily consume Azure services can be challenging due to security, compliance and or governance requirements. Azure Blueprints allows organizations to define the guardrails for which they empower their business to succeed and drive to new heights.

In this demo-packed session we’ll go deep with Azure Blueprints and how they map to Management Groups and your overall scaffolding and structure. We’ll explore how customers can ensure consistent policy, control, visibility, and security across resources and subscriptions with Azure Policy, Azure Monitor, Log Analytics, Security Center and Cost Management.

Barry Bond and Ryan Fairfax walk through the Azure Sphere OS architecture, why we chose a Linux kernel, and how the Azure Sphere OS is designed to offer unequaled security and agility for IoT devices and experiences.

Learn more visiting https://aka.ms/iotshow/azuresphere

We live in an amazing time where even beginners can take on project that  were the sole domains of expert researchers a decade ago or were straight up science fiction.

Here’s a great write up on the differences between PyTorch and TensorFlow when it come to object detection.

As I already was an experienced data scientist and had developed a few productive machine learning software components in the past years, I thought it should be a fairly easy job to get online, find a pre-trained CNN and train it further on an unseen data set to enable it to detect some previously unknown objects. Up until about a a year ago I had mostly worked with tree-based models, a lot of scikit-learn as well xgboost and of course tons and tons of pandas. As with many AI tasks, my first approach with this one turned out to be a classic version of a: “Not so fast!“ There are a few stepping stones on the way that you have to know of, that however not many articles and blogs seem to mention. After having spent many hours on this topic and having read a lot of TensorFlow source code I know the answers to questions like:

ThorogoodBI explores the use of Databricks for data engineering purposes in this webinar.

Whether you’re looking to transform and clean large volumes of data or collaborate with colleagues to build advanced analytics jobs that can be scaled and run automatically, Databricks offers a Unified Analytics Platform that promises to make your life easier.

In the second of 2 recorded webcasts Thorogood Consultants Jon Ward and Robbie Shaw showcase Databricks’ data transformation and data movement capabilities, how the tool aligns with cloud computing services, and highlight the security, flexibility and collaboration aspects of Databricks. We’ll also look at Databricks Delta Lake, and how it offers improved storage for both large-scale datasets and real-time streaming data.Whether you’re looking to transform and clean large volumes of data or collaborate with colleagues to build advanced analytics jobs that can be scaled and run automatically, Databricks offers a Unified Analytics Platform that promises to make your life easier.

edureka! recently livestreamed a tutorial on Virtual Machines and Virtual Networks in Azure.

Course contents:

1. Compare the services available in the Azure platform
2. Configure and deploy Web Applications
3. Design and implement Azure PaaS compute and Web and Mobile Services
4. Create and Configure Azure Virtual Machines
5. Create and Manage a Storage account
6. Manage blobs and containers in a Storage account
7. Create, Configure and Connect to a SQL Database instance
8. Identify the implications of importing a SQL standalone database
9. Manage users, groups and subscriptions in an Azure Active Directory instance
10. Create a Virtual Network
11. Implement a point-to-site network