New Course Updates & The Latest News

We’re continuing to add content to the “Elasticsearch 7 and Elastic Stack – In-Depth and Hands-On!” course! With several new lectures including troubleshooting tips, and using LogStash with Grok and JSON. 

We’re expecting to add three more lectures to this course before the week is done, with more to come in the near future!

This week’s latest news in AI, Machine Learning, and Data Science includes; mapping wildfire fuels with AI, preparing data for machine learning, and COVID-19 may have potential weak spot AI can find.

Get the rest of the latest news in AI, Data Science & Deep Learning below.

Make sure you never miss out on the latest from Sundog Education – follow us on Facebook, Twitter, and LinkedIn. Or join one of our free Facebook Groups.

Here are some highlights from the past couple of weeks:

Exclusive: Machine Learning Company Insitro Raises $143 Million To Bridge Biology And AI

Mapping dry wildfire fuels with AI and new satellite data

The coronavirus might have weak spots—and machine learning could help find them

Preparing Data for Machine Learning

How to Make Better Data Decisions

Defining the Hybrid Data Warehouse

Executive Perspective: Database Directions

As always thank you for having me along on your learning journey. 

Frank Kane

CEO/Founder of Sundog Education

Published by

Frank Kane

Frank spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology, and teaching others about big data analysis.

One thought on “New Course Updates & The Latest News”

  1. spandan.shivannaiah says:

    Hi Frank,

    Could you please create a course on big data in AWS using python & spark.
    Was looking for course that can provide more hands on details on creating batch and streaming pipelines using aws services and with the usage of pyspark as well.

    Thanks,
    Spandan

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