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.
- Business Transformation and Strategy
- H2O New York Keynote
- Advancements in H2O
- Steam Platform
- Cybersecurity with AI
- Visual Machine Learning
- Migrating from Closed to Open Source
- Transform Your Business with AI: Machine Learning and Deep Learning
- Making of R2D3
- Self Guiding User Experience
H2O Sparkling Water is their ML/DL library on top of Apache Spark. I personally love this implementation and can recommend it for general use. They include some great documentation and examples including Gradient Boosting.
H2O Open Tour: NYC Videos
Useful Python Libraries
- Moving from R to Python
- Predictive Algorithms for Tracking Real-Time Health Trends
- Twenty Python Libraries You Should Use
- Ten Interesting Python Modules
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.