predictions and other adventures - jordi torres · what, how and why bigml predictions and other...
Post on 11-Jun-2018
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Large DatasetsLarge Datasets
ParallelismParallelism
AnytimeAnytime
Streaming Streaming HistogramsHistograms
Accuracy = (TP + TN) / (TP + TN + FP + FN)
Recall = TP / (TP + FN)
Precision = TP / (TP + FP)
F1 = 2 Precison Recall / (Precision + Recall)
nginxnginx nginxnginx
apianapian apianapian apianapian
API service
nginxnginx
RESTish JSON over HTTPS
. . .. . .
nginxnginx nginxnginx
apianapian apianapian apianapian
nginxnginx
RESTish JSON over HTTPS
. . .. . .
nginxnginx nginxnginx
apianapian apianapian apianapian
nginxnginx
RESTish JSON over HTTPS
. . .. . .
pymongo
pymongo
nginxnginx nginxnginx
apianapian apianapian apianapian
nginxnginx
RESTish JSON over HTTPS
. . .. . .
pymongo
pymongo
RESTish JSON over HTTPS
nginxnginx nginxnginx
skysky skysky skysky
nginxnginx
HTTPS + AJAX/JSON
. . .. . .
Browser
curious yellow
wintermute
eventual consistency
“It's better to ask for
forgivenessthan for
permission.”
“Better safethan sorry.”
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