AI, BigData & HPC Digest # 4

Habr, hello!

The FlyElephant team has prepared for you a new digest, which includes a selection of links to interesting materials in the following areas: artificial intelligence, big data and high-performance computing.

Articles

• A Data-Backed Approach: The Top 100 Big Data Experts to Follow in 2016
• Deep Learning with Spark and TensorFlow
• Intro to Sound Analysis with R
• Using PostgreSQL in R: A quick how-to
• Deep Learning Glossary - WildML
• Set up RStudio in GitHub
• R Programming Tutorials
• Dirt Simple HPC: Making the Case for Julia
• Apache Spark in 2015 - Year in Review
• A gentle introduction to parallel computing
• 16 analytic disciplines compared to data science
• RcppParallel: Getting R and C ++ to work (some more) in parallel
• The State of Data Science in 2016
• Fun Data for teaching R
• Enterprise usages boost HPC
• 4 predictions for NoSQL technologies in 2016
• Power and Glory: World's Top 10 Supercomputers

Videos and presentations

• Video: An Overview of Supercomputing
• Video: Mars - A 64-Core ARMv8 Processor
• Presentation: GPU Computing for Data Science
• Video: Massive Data Sheds Light on Your Microbiome
• Video: Microsoft Azure for Engineering Analysis and Simulation
• Video: “Data Science: Where Are We Going?” - Dr. DJ Patil | HPC ASIA
• Video: Data Science 101: Recursive Deep Learning
• Big Data Analytics with Hadoop
• Prepping Data for Analysis using R - Win-Vector Blog
• Video: Using Google Compute Engine Pre-Emptible VMs for Cancer Research - insideHPC

activity

• The Role of Text Mining at Boehringer Ingelheim Pharmaceuticals
• insideHPC Manufacturing Webinar
• PASC16 Conference
• Call for Submissions: GPU Hackathon at the University of Delaware
• International HPC Summer School 2016
• Teach Yourself Deep Learning with TensorFlow and Udacity
• EuroMPI 2016: Edinburgh September | The 23rd European MPI Users' Group Meeting
• SUPERCOMPUTING FRONTIERS

Books and magazines

• Must Read Books for Beginners on Big Data, Hadoop and Apache Spark
• Volume 7/2, December 2015. The R Journal
• 50+ Free Data Science Books
• 27 Free Data Mining Books

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