ggrrll

# ~/.bashrc: executed by bash(1) for non-login shells.
# see /usr/share/doc/bash/examples/startup-files (in the package bash-doc)
# for examples

# If not running interactively, don't do anything
case $- in
    *i*) ;;
      *) return;;
esac

ggrrll

Cloud services overview

how to choose your deployment

• azure serices: https://cast.ai/blog/azure-containers-services-pricing-and-feature-comparison/

ggrrll

# suppress warining
export BASH_SILENCE_DEPRECATION_WARNING=1

# # set PATH so it includes user's private bin if it exists
if [ -d "$HOME/bin" ] ; then
    PATH="$HOME/bin:$PATH"
fi

# # don't put duplicate lines or lines starting with space in the history.
# # See bash(1) for more options

ggrrll

#!/bin/bash

# Argument passing and checking
while getopts 't:r:' flag; do
    case "${flag}" in
    t) TARGETDIR="${OPTARG}" ;;
    r) REFDIR="${OPTARG}" ;;
    *)
        echo "usage: $0 [-t] [-r]" >&2
        exit 1

ggrrll

developement

• if you have issue with cocoapods , mind to update ruby and export PATH -> https://stackoverflow.com/a/62706706/5533078

clipboard manager

https://clipy-app.com/

workspace manager

ggrrll

many info:

• https://www.ahv-iv.ch/en/Social-insurances
• https://www.activpayroll.com/global-insights/switzerland

tax explanation	FR	DE
1st pillar	AVS/AI/APG	AHV / IV / EO
2nd pillar	PP	BVG (Berufliche Vorsorge)
family allowance	AF	FZ (Familien zulagen)

ggrrll

OQDS literature

in the news

2017 abbott

computational

([Luvisi’s work](https://www.unisalento.it/scheda-utente/-/people/andrea.luvisi

ggrrll

datasets

https://www.kaggle.com/datasets?search=imu&sort=votes

dataset + R package

python packages

ggrrll

ML

lists / reviews

https://neptune.ai/blog/machine-learning-engineer-interview

( w/ answers )

https://www.simplilearn.com/tutorials/machine-learning-tutorial/machine-learning-interview-questions

ggrrll

tricks and tools

top-10-automated-machine-learningauto-ml-tools
machine-learning-models-with-just-a-few-lines
in particular

• https://docs.h2o.ai/h2o/latest-stable/h2o-docs/automl.html
• https://pycaret.gitbook.io/docs/