Yang Gu greeness

## simhash links
simple and clear algorithm description:
http://www.titouangalopin.com/blog/articles/2014/05/simhash-or-the-way-to-compare-quickly-two-datasets

a python impl
http://liangsun.org/posts/a-python-implementation-of-simhash-algorithm/

original paper of simhash
http://www.cs.princeton.edu/courses/archive/spr04/cos598B/bib/CharikarEstim.pdf

simhash impl doc

## gist:1498382
import numpy
import math

# LSH signature generation using random projection
def get_signature(user_vector, rand_proj):
    res = 0
    for p in (rand_proj):
        res = res << 1
        val = numpy.dot(p, user_vector)
        if val >= 0:

## gist:1887114
斗地主人工智能  [2007-3-7]
http://www.ylog.net/blog_show.asp?log_id=2148

近一周在制作斗地主纸牌游戏的人工智能

算法主要是用宽度优先生成一棵搜索树

再根据玩牌的技巧进行剪枝与判权....

节点权值判断主要由有限状态机构成

## gist:3985998
from random import random, choice, randint
"""
    +++++++++++++++++++++
    + 10 +  1 +  1 + 1 +
    +++++++++++++++++++++
    + 1  +  1 +  1 + 1 +
    +++++++++++++++++++++
    + 1  +  1 +  1 + 1 +
    +++++++++++++++++++++
    + 1  +  1 +  1 + 1 +

## budget.py
#The input data should be in CSV format.
# Each row is a campaign. The columns are (description and variable name):
# Campaign id (id)
# Conversion rate (cvr)
# Bid price (price)
# Max allocated campaign budget (max_allocation)

import csv
import sys

## input.csv

          
            id
            cvr
            price
            max_allocation

            
              1
              0.005
              4
              100

            
              2
              0.001
              0.75
              100

            
              3
              0.0001
              0.1
              100

## gist:1420935

      
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                greeness
                / gist:1420935
            
            
              Created
              December 2, 2011 00:23
            
              
                tutorial ml codes
              
          
    General

Tutorials on topics in machine learning
Hashing Searching Sketching.
Parallel Machine Learning

http://graphlab.org/
AdaBoost


## 2d convolution
{
 "metadata": {
  "name": "2d Convolution"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {

## Gradient Checkng
{
 "metadata": {
  "name": ""
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {

## Forward cost
{
 "metadata": {
  "name": ""
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
	simple and clear algorithm description:
	http://www.titouangalopin.com/blog/articles/2014/05/simhash-or-the-way-to-compare-quickly-two-datasets

	a python impl
	http://liangsun.org/posts/a-python-implementation-of-simhash-algorithm/

	original paper of simhash
	http://www.cs.princeton.edu/courses/archive/spr04/cos598B/bib/CharikarEstim.pdf

	simhash impl doc
	import numpy
	import math

	# LSH signature generation using random projection
	def get_signature(user_vector, rand_proj):
	res = 0
	for p in (rand_proj):
	res = res << 1
	val = numpy.dot(p, user_vector)
	if val >= 0:
	斗地主人工智能 [2007-3-7]
	http://www.ylog.net/blog_show.asp?log_id=2148

	近一周在制作斗地主纸牌游戏的人工智能

	算法主要是用宽度优先生成一棵搜索树

	再根据玩牌的技巧进行剪枝与判权....

	节点权值判断主要由有限状态机构成
	from random import random, choice, randint
	"""
	+++++++++++++++++++++
	+ 10 + 1 + 1 + 1 +
	+++++++++++++++++++++
	+ 1 + 1 + 1 + 1 +
	+++++++++++++++++++++
	+ 1 + 1 + 1 + 1 +
	+++++++++++++++++++++
	+ 1 + 1 + 1 + 1 +
	#The input data should be in CSV format.
	# Each row is a campaign. The columns are (description and variable name):
	# Campaign id (id)
	# Conversion rate (cvr)
	# Bid price (price)
	# Max allocated campaign budget (max_allocation)

	import csv
	import sys
id	cvr	price	max_allocation
1	0.005	4	100
2	0.001	0.75	100
3	0.0001	0.1	100
	{
	"metadata": {
	"name": "2d Convolution"
	},
	"nbformat": 3,
	"nbformat_minor": 0,
	"worksheets": [
	{
	"cells": [
	{
	{
	"metadata": {
	"name": ""
	},
	"nbformat": 3,
	"nbformat_minor": 0,
	"worksheets": [
	{
	"cells": [
	{