Presto-powered S3 data warehouse on Kubernetes by @joshua_robinson via @Medium

Joshua Robinson offers up a tutorial on how to set up a Presto data warehouse using Docker that could query data on a FlashBlade S3 object store, and a follow-up tutorial that explains how to move everything, including the Hive Metastore, to run in Kubernetes.

This is very useful to read and might help you to achieve something quicker than you have planned.

WEBINAR: Developing and Testing Shiny Apps - 12 March 2020

Data Science Central Webinar Series Event

Developing and Testing Shiny Apps Join us for the latest DSC Webinar on March 12th, 2020 Shiny is the most popular framework among R users for developing dashboards and web applications. It is commonly used by statisticians and data scientists to present and share their work with broader groups. These dashboards are often developed inside the RStudio IDE and then published to hosting servers. RStudio IDE users have been enjoying the power of Databricks clusters and other workspace features since 2018. Now they can use Shiny on Databricks as well. In this latest Data Science Central webinar, we will review how RStudio Server works on Databricks clusters and the advantages of running RStudio Server inside the Unified Data Analytics Platform. We will introduce a new addition to the Unified Platform for R users on Databricks: support for Shiny applications. This webinar will include a demo that will focus on the lifecycle of developing and testing Shiny applications inside hosted RStudio Server, as well as what can be done with a high-bandwidth connection to a powerful Apache Spark cluster. Speaker: Hossein Falaki, Tech Lead -- Databricks Hosted by: Rafael Knuth, Contributing Editor -- Data Science Central   Title:  Developing and Testing Shiny Apps Date:  Thursday, March 12th, 2020 Time:  09:00 AM - 10:00 AM PDT   Space is limited so please register early: Reserve your Webinar seat now

Google has released a tool to spot faked and doctored images by Karen Hao via @techreview

Google has released a tool to spot faked and doctored images.

Very much needed - I really hope it works and is adopted widely.

Deep learning isn’t hard anymore by Caleb Kaiser via @TDataScience

Deep learning used to require large amounts of data, deep pockets, and a novel, usually custom-built, architecture. But with transfer learning (which takes a pre-trained model and retrains the last layers of the model to focus on a new task), a single engineer can deploy a model in a new domain in a matter of days

There is a great link in the article to a primer on Transfer Learning which is well worth the time investment in reading and learning so you can take advantage of that technique.

All Machine Learning Models Explained in 6 Minutes by Terence Shin in @TDataScience

Intuitive explanations of the most popular machine learning models.

This deserves applause, a bookmark and sharing.

WEBINAR: Forecasting: Prophet & Time Series Database - 25 February 2020

Data Science Central Webinar Series Event

Forecasting: Prophet & Time Series Database Join us for this latest DSC Webinar on February 25th, 2020 Data collection is only half of the battle. The other half is being able to easily perform data analysis. FB Prophet aims to make time series forecasting simple and fast. In this latest Data Science Central webinar, we’ll learn how to make a univariate time series prediction with Prophet and a time series database. Speaker: Anais Dotis-Georgiou, Developer Advocate -- InfluxData Hosted by: Stephanie Glen, Editorial Director -- Data Science Central   Title:  Forecasting: Prophet & Time Series Database Date:  Tuesday, February 25th, 2020 Time:  9:00 AM - 10:00 AM PST   Space is limited so please register early: Reserve your Webinar seat now

Interested in machine learning? Better learn PyTorch by Matt Asay via @infoworld

Don’t look now, but easy, straightforward PyTorch has become the hottest product in data science.

As it rivals Tensorflow I would probably suggest you get a grounding in both (if you can).