This course is for science students who have minimal background in statistics. Topics include summary statistics, probability distributions, confidence intervals, P-values, Type I/II errors, ANOVA, regression, and PCA.
Learn how to accelerate and optimize existing C/C++ CPU-only applications using the most essential CUDA tools and techniques. Understand how the iterative style of CUDA development allows you to ship accelerated applications fast.
Someone in your department, company, or class comes to you and says: "I want to learn R; where do I start?" Or, "how do I take my R skills to the next level?" Hear from 3 R-Ladies on how to make R pedagogy work for different groups of people!
NCBI will lead a 2-day workshop introducing new cloud-ready tools. These tools include the Prokaryotic Genome Annotation Pipeline (PGAP), ElasticBLAST for scaling up bulk BLAST alignment tasks for large-sized queries, and GCP's BigQuery for SRA data to bring the power of structured queries to SRA data archives.