AI, BigData & HPC Digest # 0. Pilot issue

Hi, Habr!
My name is Dmitry Spodarets. I am the founder of the FlyElephant project, which provides researchers and engineers with an environment to run computational programs. In our team, we actively follow three directions: artificial intelligence, big data and high-performance computing. We constantly come across interesting materials with which we will acquaint you as part of this digest.



news

• Google Cloud Google Announcing Bigtable: Google Search, Gmail and Analytics is now available on Google Cloud Platform
• Microsoft Wants To Bring Azure To Your Data Center
• Azure data lake
• HP ProLiants Retooled For Hyperscale And In-Memory
• Intel Says Upgraded Haswells Will Speed ​​Analytics
• HPC for Advanced Analytics at the USPS
• Nimbix and Mangstor Announce Converged High Performance Platform as a Service
• IBM introduced the hybrid chip: silicon photonics in action

Articles

• Working with “large” datasets, with dplyr and data.table
• Clustering using the k-means method in Python
• Linux Widens HPC Goalposts
• NFX - Ultra Efficient Binary Serialization in the CLR
• Store 300 million objects in the CLR process
• Supercomputers Bump Against The End Of Another Era
• Why IBM Watson Free Data Visualization Platform is Pure Brilliance
• Five Reasons Machine Learning Is Moving to the Cloud
• Random Data Sets Quickly
• Random Data Set (Part II)
• DOCKERIZING A SHINY APP
• HBase tutorial: 5 tips for running on low memory EC2
• Analytical review of the Big Data market
• Wanted: A Plug-In Architecture for Hadoop Development
• High-performance DEFLATE compression with optimized genomic data sets

Videos and presentations

• DataTalks # 2: Data Visualization
• GPUs Mars Rocket Engine Power Simulation
• Big Data Week Moscow 2015: presentations of speakers
• RE.WORK Deep Learning Summit, San Francisco, 2015
• Losing your Loops: Fast Numerical Computing with NumPy
• HPC Transforms Parkinson's Disease
• Deep Learning for Decision Making and Control
• scikit-learn video # 4: Model training and prediction with K-nearest neighbors
• Data Science for Workforce Optimization: Reducing Employee Attrition

Digests

• DataReview.info - Digest of interesting articles (April 2015)

Podcasts

• New Xeons Power Cisco UCS Realtime Analytics
• Brendan Gregg on System Performance Methodologies
• Talking Machines Podcast Looks at Machine Learning
• RCE Podcast: Jonathan Dursi on “HPC is dying, and MPI is killing it”
• Starting Simple and Machine Learning in Meds
• Spinning Programming Plates and Creative Algorithms

activity

• The second conference on artificial intelligence and big data AI & BigData Lab / Odessa / May 23
• RE.WORK DEEP LEARNING SUMMIT / Boston / May 26-27
• R in Insurance 2015 Conference / Amsterdam / June 29
• Beowulf Boot Camp / Baton Rouge / July 6-10
• ISC High Performance conference / Frankfurt / July 12-16
• International Computer Vision Summer School / Scicli / July 12-18

I would be grateful for any suggestions and suggestions for improving the digest. If you want to share with all useful links, send me at digest@flyelephant.net - I will definitely include them in the next release of the digest.