antriv

Studying for a Tech Interview Sucks, so Here's a Cheat Sheet to Help

This list is meant to be a both a quick guide and reference for further research into these topics. It's basically a summary of that comp sci course you never took or forgot about, so there's no way it can cover everything in depth. It also will be available as a gist on Github for everyone to edit and add to.

Data Structure Basics

###Array ####Definition:

• Stores data elements based on an sequential, most commonly 0 based, index.
• Based on tuples from set theory.

antriv

#' Compiling several text files into a single CSV file
#' 
#' Convert a folder of text files into a single CSV file 
#' with one column for the file names and one column of the 
#' text of the file. A function in R.
#' 
#' To use this function for the first time run this next line:
#' install.packages("devtools")
#' then thereafter you just need to load the function 
#' fom github like so, with these two lines:

antriv

Tensorflow Serving with a GPU Kubernetes cluster on Azure

Prerequisites

• az command line version >= 2.0.23

Making the Kubernetes cluster

First make a resource group to house your deployment. Note that as of 12/22/2017 this will only work in westus2 and uksouth because of Nvidia driver deployment.

antriv

Tensorflow Serving with a GPU Kubernetes cluster on Azure

Prerequisites

• az command line version >= 2.0.23

Making the Kubernetes cluster

First make a resource group to house your deployment. Note that as of 12/22/2017 this will only work in westus2 and uksouth because of Nvidia driver deployment.

antriv

PPT Links & Demos: https://github.com/antriv/MLADS_FALL_GAN_2017

antriv

PPT & DEMO Code: https://github.com/antriv/MLADS_DeepLearning_2018

CNTK Notebooks: https://notebooks.azure.com/anurive/libraries/tutorials-1

Deep Learning for Timeseries - https://github.com/athaker/econ_136

Object Detection Notebook: https://github.com/Azure-Samples/MachineLearningSamples-Notebooks/blob/master/domain-packages/computer-vision/object_detection.ipynb