mldeveloper01

# Jie Bao, 2013-07-16
# baojie@gmail.com
# simple Naive Bayes classifier

import nltk
from nltk.corpus import movie_reviews

import random
import os
import json

mldeveloper01

[Desktop Entry]
Encoding=UTF-8
Name=Postman
Exec=postman
Icon=/opt/Postman/resources/app/assets/icon.png
Terminal=false
Type=Application
Categories=Development;

mldeveloper01

There are many Git workflows out there, I heavily suggest also reading the atlassian.com [Git Workflow][article] article as there is more detail then presented here.

The two prevailing workflows are [Gitflow][gitflow] and [feature branches][feature]. IMHO, being more of a subscriber to continuous integration, I feel that the feature branch workflow is better suited.

When using Bash in the command line, it leaves a bit to be desired when it comes to awareness of state. I would suggest following these instructions on [setting up GIT Bash autocompletion][git-auto].

Basic branching

When working with a centralized workflow the concepts are simple, master represented the official history and is always deployable. With each now scope of work, aka feature, the developer is to create a new branch. For clarity, make sure to use descriptive names like transaction-fail-message or github-oauth for your branches.

mldeveloper01

A bunch of good git tutorials

Intro to git

• Simplest intro to git by github and codeschool - Try Git

• PeepCode Git Internals PDF

• [Intro to github]

mldeveloper01

I figured out how to build tensorflow from source in centOS. This process does not require any root access and you can do it anywhere. This will save your time and no need to worry much after this.

#What to prepare:

1. Java 8
2. Bazel
3. Tensorflow
4. CuDNN and CUDA toolkit (assume you have install them)

#Installation ##Bazel

mldeveloper01

##Google Interview Questions: Product Marketing Manager

• Why do you want to join Google? -- Because I want to create tools for others to learn, for free. I didn't have a lot of money when growing up so I didn't get access to the same books, computers and resources that others had which caused money, I want to help ensure that others can learn on the same playing field regardless of their families wealth status or location.
• What do you know about Google’s product and technology? -- A lot actually, I am a beta tester for numerous products, I use most of the Google tools such as: Search, Gmaill, Drive, Reader, Calendar, G+, YouTube, Web Master Tools, Keyword tools, Analytics etc.
• If you are Product Manager for Google’s Adwords, how do you plan to market this?
• What would you say during an AdWords or AdSense product seminar?
• Who are Google’s competitors, and how does Google compete with them? -- Google competes on numerous fields: --- Search: Baidu, Bing, Duck Duck Go

mldeveloper01

##Google Interview Questions: Product Marketing Manager

• Why do you want to join Google? -- Because I want to create tools for others to learn, for free. I didn't have a lot of money when growing up so I didn't get access to the same books, computers and resources that others had which caused money, I want to help ensure that others can learn on the same playing field regardless of their families wealth status or location.
• What do you know about Google’s product and technology? -- A lot actually, I am a beta tester for numerous products, I use most of the Google tools such as: Search, Gmaill, Drive, Reader, Calendar, G+, YouTube, Web Master Tools, Keyword tools, Analytics etc.
• If you are Product Manager for Google’s Adwords, how do you plan to market this?
• What would you say during an AdWords or AdSense product seminar?
• Who are Google’s competitors, and how does Google compete with them? -- Google competes on numerous fields: --- Search: Baidu, Bing, Duck Duck Go

mldeveloper01

# preliminaries
from pymongo import MongoClient
from nltk.corpus import stopwords
from string import ascii_lowercase
import pandas as pd
import gensim, os, re, pymongo, itertools, nltk, snowballstemmer

# set the location where we'll save our model
savefolder = '/data'

mldeveloper01

import cv2
import sys
import numpy as np
 
camera = cv2.VideoCapture("video.avi")

# Setup BlobDetector
detector = cv2.SimpleBlobDetector_create()
params = cv2.SimpleBlobDetector_Params()
	 

mldeveloper01

Advanced Functional Programming with Scala - Notes

Copyright © 2016-2017 Fantasyland Institute of Learning. All rights reserved.

1. Mastering Functions

A function is a mapping from one set, called a domain, to another set, called the codomain. A function associates every element in the domain with exactly one element in the codomain. In Scala, both domain and codomain are types.

val square : Int => Int = x => x * x