Cloud Data Science 9

Lots of announcements this week, so without delay, let’s get right to Cloud Data Science 9.

News

Google Announces Cloud SQL for Microsoft SQL Server
Google’s Cloud SQL now supports SQL Server in addition to PostgreSQL and MySQL
Google Opens a new Cloud Region
Located in Salt Lake City, Utah, it is named us-west3. They are promoting it as the Silicon Slopes region, so that is good news if you or your customers are near that location.
Women in Data Science Livestream
This is a conference with a ton a great speakers. The livestream is free and available on the Data Science 101 blog. The event is Monday, March 2, 2020 at 9am PST.
Azure Sphere for IoT security goes GA
This is a comprehensive security solution for IoT. It is now generally available (GA).
Microsoft retires MCSA, MCSD, and MCSE certifications
Microsoft has gone to more role-based certifications, so these legacy certs are going away.
Amazon Transcribe can now remove PII
Amazon Trascribe is a speech recognition service and it now provides the ability to automatically remove Personally Identifiable Information (PII). This is cool and helpful.
AWS Deep Learning Containers Updated
They now have the latest versions of Tensorflow (1.15.2, 2.0.1, & 2.1.0), PyTorch 1.4.0, and MXNet 1.6.0

Thank You

Thanks for reading the weekly news, and you can find previous editions on the Cloud Data Science News page. Also, you can get these announcements as an email by signing up for the Newsletter.

The post Cloud Data Science 9 appeared first on Data Science 101.

Data Science 101 https://ift.tt/3ahspKt March 01, 2020 at 03:59AM

Comments

Solving Van der Pol equation with ivp_solve

Van der Pol’s differential equation is The equation describes a system with nonlinear damping, the degree of damping given by μ. If μ = 0 the system is linear and undamped, but for positive μ the system is nonlinear and damped. We will plot the phase portrait for the solution to Van der Pol’s equation in Python using SciPy’s new ODE solver ivp_solve . The function ivp_solve does not solve second-order systems of equations directly. It solves systems of first-order equations, but a second-order differential equation can be recast as a pair of first-order equations by introducing the first derivative as a new variable. Since y is the derivative of x , the phase portrait is just the plot of ( x , y ). If μ = 0, we have a simple harmonic oscillator and the phase portrait is simply a circle. For larger values of μ the solutions enter limiting cycles, but the cycles are more complicated than just circles. Here’s the Python code that made the plot. from scipy import linspace from ...

Former San Diego mayor joins race for California governor

Former San Diego Mayor Kevin Faulconer is running for California governorABC News: Top Stories https://ift.tt/3oNBFgt February 02, 2021 at 08:39AM

Explaining models with Triplot, part 1

[This article was first published on R in ResponsibleML on Medium , and kindly contributed to R-bloggers ]. (You can report issue about the content on this page here ) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Explaining models with triplot, part 1 tl;dr Explaining black box models built on correlated features may prove difficult and provide misleading results. R package triplot , part of the DrWhy.AI project, is aiming at facilitating the process of explaining the importance of the whole group of variables, thus solving the problem of correlated features. Calculating the importance of explanatory variables is one of the main tasks of explainable artificial intelligence (XAI). There are a lot of tools at our disposal that helps us with that, like Feature Importance or Shapley values, to name a few. All these methods calculate individual feature importance for each variable separately. The problem arises when features used ...

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