01 background Go ahead and hop onto bunnie’s blog! bunnie's blog July 25th, 2020 I've often said that if we convince ourselves that technology is magic, we risk becoming hostages to…www.bunniestudios.com wiki bio Andrew Huang (hacker) Andrew "bunnie" Huang (born 1975) is an American researcher and hacker, who holds a Ph.D in electrical engineering from…en.wikipedia.org So what’s the deal with Andrew?

gem/oq-engine oq-engine - OpenQuake's Engine for Seismic Hazard and Risk Analysisgithub.com https://www.globalquakemodel.org/single-post/OpenQuake-Engine-Manual

episode 1 The first thing we gotta do is a basketaball player statistics example. Let’s do it! 1.3 Getting started with the data 1 — Importing data 1/8 TASK : Read the file bballPlayers.txt into a table named playerInfo. So I’m just typing the stuff in matlab and the hit run playerInfo = readtable('bballPlayers.txt'); playerStats= readtable('bballStats.txt'); Summary: Getting Started with the Data

This educational application allows the user to explore the effects of different building parameters on the time-varying response of a building under earthquake, wind, or other transient loads. SIMCENTER — COMPUTATIONAL MODELING AND SIMULATION CENTER — Official Website The building is represented by a shear building model: an idealization of…

The SimCenter Pile-Group Tool provides a dynamic interface to study the behavior of a pile or pile-group in layered soil. SIMCENTER — COMPUTATIONAL MODELING AND SIMULATION CENTER — Official Website It allows the user to interactively (and nearly instantly) observe the system’s response to changes of the following parameters: soil…

Domingo 29–09–2019 Tripulación 3 personas

This is the best place that I’ve found that explains the blockchain technology with simple concepts, a couple of videos, and with a really cool online demo. Quoting Brownworth, the Blockchain Demo is: A web-based demonstration of blockchain concepts. This is a very basic visual introduction to the concepts behind…

01 Machine Learning — 2.7 Project — Clustering: Wine color, corporate bonds and wheat seed kernels. This is a bitácora of the wine color project to track my learning. Previously assimilated stuff: 2.Finding natural patterns in data 2.1 Course example — basketball players 2.2 Low dimensional visualization 2.3 k-means clustering 2.4 Gaussian mixture models 2.5…