Over a million developers have joined DZone.
{{announcement.body}}
{{announcement.title}}

New Machine Learning Presentations in Scala and Java

DZone's Guide to

New Machine Learning Presentations in Scala and Java

This article covers Machine Learning presentations from H2O and a number of useful Python libraries for working with big data.

· Big Data Zone ·
Free Resource

Hortonworks Sandbox for HDP and HDF is your chance to get started on learning, developing, testing and trying out new features. Each download comes preconfigured with interactive tutorials, sample data and developments from the Apache community.

Today there were a number of interesting items I have found and recommend for viewing.  One is a lot of content from H2O's recent event, some Python libraries, and a few presentations.

H2O had a great conference in NYC recently all around their open source Machine Learning and Deep Learning platform that works with Hadoop and Spark. I have chosen some of the best slide presentations and videos below.

H2O Open Tour: NYC Videos





Useful Python Libraries

There were two other presentations that I found very interesting.  The first is High-Performance Interactive SQL Analytics and Machine Learning on Hadoop (HAWQ) Pivotal and Hortonworks  which is a deep dive on how to do SQL analytics with Apache HAWQ ontop of Hadoop.   The second is a very useful session on how to break up large applications and refactor them into microservices, Breaking the Monolith.

Hortonworks Community Connection (HCC) is an online collaboration destination for developers, DevOps, customers and partners to get answers to questions, collaborate on technical articles and share code examples from GitHub.  Join the discussion.

Topics:
big data ,hortonworks ,hadoop ,spark ,machine learning ,h2o ,python ,deep learning

Opinions expressed by DZone contributors are their own.

{{ parent.title || parent.header.title}}

{{ parent.tldr }}

{{ parent.urlSource.name }}