Tag: Google

Writing on APIs for Programmable Web

I have been writing free lance on APIs for Programmable Web. Here is an updated list of the articles, many of these would be of interest to analytics users. Note- some of these are interviews and they are in bold. Note to regular readers: I keep updating this list , and at each updation bring it to the front page, then allowing the blog postings to slide it down!

Scoreoid Aims to Gamify the World Using APIs January 27th, 2014

Plot.ly’s Plot to Visualize More Data January 22nd, 2014

LumenData’s Acquisition of Algorithms.io is a Win-Win January 8th, 2014

Yactraq API Sees Huge Growth in 2013  January 6th, 2014

Scrape.it Describes a Better Way to Extract Data December 20th, 2013

Exclusive Interview: App Store Analytics API December 4th, 2013

APIs Enter 3d Printing Industry November 29th, 2013

PW Interview: José Luis Martinez of Textalytics November 6th, 2013

PW Interview Simon Chan PredictionIO November 5th, 2013

PW Interview: Scott Gimpel Founder and CEO FantasyData.com October 23rd, 2013

PW Interview Brandon Levy, cofounder and CEO of Stitch Labs October 8th, 2013

PW Interview: Jolo Balbin Co-Founder Text Teaser  September 18th, 2013

PW Interview:Bob Bickel CoFounder Redline13 July 29th, 2013

PW Interview : Brandon Wirtz CTO Stremor.com   July 4th, 2013

PW Interview: Andy Bartley, CEO Algorithms.io  June 4th, 2013

PW Interview: Francisco J Martin, CEO BigML.com 2013/05/30

PW Interview: Tal Rotbart Founder- CTO, SpringSense 2013/05/28

PW Interview: Jeh Daruwala CEO Yactraq API, Behavorial Targeting for videos 2013/05/13

PW Interview: Michael Schonfeld of Dwolla API on Innovation Meeting the Payment Web  2013/05/02

PW Interview: Stephen Balaban of Lamda Labs on the Face Recognition API  2013/04/29

PW Interview: Amber Feng, Stripe API, The Payment Web 2013/04/24

PW Interview: Greg Lamp and Austin Ogilvie of Yhat on Shipping Predictive Models via API   2013/04/22

Google Mirror API documentation is open for developers   2013/04/18

PW Interview: Ricky Robinett, Ordr.in API, Ordering Food meets API    2013/04/16

PW Interview: Jacob Perkins, Text Processing API, NLP meets API   2013/04/10

Amazon EC2 On Demand Windows Instances -Prices reduced by 20%  2013/04/08

Amazon S3 API Requests prices slashed by half  2013/04/02

PW Interview: Stuart Battersby, Chatterbox API, Machine Learning meets Social 2013/04/02

PW Interview: Karthik Ram, rOpenSci, Wrapping all science APIs 2013/03/20

Viralheat Human Intent API- To buy or not to buy 2013/03/13

Interview Tammer Kamel CEO and Founder Quandl 2013/03/07

YHatHQ API: Calling Hosted Statistical Models 2013/03/04

Quandl API: A Wikipedia for Numerical Data 2013/02/25

Amazon Redshift API is out of limited preview and available! 2013/02/18

Windows Azure Media Services REST API 2013/02/14

Data Science Toolkit Wraps Many Data Services in One API 2013/02/11

Diving into Codeacademy’s API Lessons 2013/01/31

Google APIs finetuning Cloud Storage JSON API 2013/01/29

2012
Ergast API Puts Car Racing Fans in the Driver’s Seat 2012/12/05
Springer APIs- Fostering Innovation via API Contests 2012/11/20
Statistically programming the web – Shiny,HttR and RevoDeploy API 2012/11/19
Google Cloud SQL API- Bigger ,Faster and now Free 2012/11/12
A Look at the Web’s Most Popular API -Google Maps API 2012/10/09
Cloud Storage APIs for the next generation Enterprise 2012/09/26
Last.fm API: Sultan of Musical APIs 2012/09/12
Socrata Data API: Keeping Government Open 2012/08/29
BigML API Gets Bigger 2012/08/22
Bing APIs: the Empire Strikes Back 2012/08/15
Google Cloud SQL: Relational Database on the Cloud 2012/08/13
Google BigQuery API Makes Big Data Analytics Easy 2012/08/05
Your Store in The Cloud -Google Cloud Storage API 2012/08/01
Predict the future with Google Prediction API 2012/07/30
The Romney vs Obama API 2012/07/27
Related articles

How to help your government keep the world safe using statistics #rstats #python #sas

Big Data for Big Brother. Now playing. At a computer near you. How to help water the tree of liberty using statistics?

Use R

 

or

Use Python

 

LKF2-eVZHWtc-47347

WvfC-nxDTMqJ-97899

or use SAS software

SAS/CIA from the last paragraph of

Click to access ET_CD_Mumbai_Jul12.pdf

Screenshot from 2013-06-09 20:19:01

 

Visual Guides to CRISP-DM ,KDD and SEMMA

UPDATED- Here are three great examples of a visualization making a process easy to understand. Please click on the images to read them clearly.

1) It visualizes CRISP-DM and is made by Nicole Leaper (http://exde.wordpress.com/2009/03/13/a-visual-guide-to-crisp-dm-methodology/)

12345

2) KDD -Knowledge Discovery in Databases -visualization by Fayyad whom I have interviewed here at http://www.decisionstats.com/interview-dr-usama-fayyad-founder-open-insights-llc/

and work By Gregory Piatetsky Shapiro interviewed by this website here

https://decisionstats.com/2009/08/13/interview-gregory-piatetsky-kdnuggets-com/

kdd

3) I am also attaching a visual representation of SEMMA from http://www.dataprix.net/en/blogs/respinosamilla/theory-data-mining

metodo-semma

 

SAS Thought Leader declares war on data scientists on Valentine Eve

 

It all started because of the Google Guy, Hal Varian

Feb 25, 2009 – I keep saying the sexy job in the next ten years will be statisticians.  … Hal Varian, The McKinsey Quarterly, January 2009. …

Then these guys ( Thomas H. Davenport and D.J. Patil)  made us sexy -that too in the Harvard Business Review.

Jill Dyche* is a thought leader. That’s what her job says. that too at SAS  which took over her start-up Baseline Consulting. (* In addition to this, she writes forewords for struggling poets here )

She says here–

If the importance of data scientists is growing with the advent of big data, the sooner we understand what exactly it is they do, the better.

That is fair enough. But to add grievous injury to data scientists, She adds

(For fun I wrote a blog post on being a data scientist’s girlfriend.)

Actually the blog post was-Why I Wouldn’t Have Sex with a Data Scientist

But there’s no use. The data scientist is preoccupied. Preoccupied with finding, accessing, analyzing, validating, cleansing, integrating, provisioning, modeling, verifying, and explaining data to his management, colleagues, end-users, and friends.

And this is the year of the statistician ??

This is bare knuckles tactics. The art of Vaseline Insulting? Perish the thought. Geeks and Data Scientists  rule.

Dont we? and we are perfect? right.

We statisticians (and data scientists and big dataists and data miners and business analysts and …)

are bringing sexy back!

Justin+Timberlake+JT+PNG+1(and we need a hug too.)

Proxmate- Browser plugins for Proxy Surfing to sites closed to certain countries

A neat technical innovation Proxmate is a browser plugin with a Chrome and Firefox version. It allows non US internet citizens to go to US sites , including Google’s Play Store, Spotify, Turntable and others

It is very professionally designed and now being used quite a lot.

Great Work by Dave Mohl at http://proxmate.dave.cx/

I wish the same principle could be applied to create a fork of Chromium /Firefox to mash up with the Tor do not track privacy software. Or if a fork is too much work- even a plugin 🙂

proxmate

Continue reading “Proxmate- Browser plugins for Proxy Surfing to sites closed to certain countries”

Hackers or Criminals

In response to the most excellent writer Nick Bilton of NY Times and his splendid though cautious article here

Please consider these points

  •  jail breaking phones was once illegal , then became legal, and now is questionable again. Rooting your Android tablet is now frowned upon. The question is how do you teach the next generation of hackers to explore hardware and software and yet respect laws in their own self interest. Exploring means pushing the boundaries of what can be done and what can not be done. Inter racial marriage was illegal too, once.
  • what damage have hackers caused to society in past 5 years  (lost revenues in Digital content) versus what benefits have they brought about ( Arab Spring catalyst)
  • Consider the past history of hackers who turned entrepreneurs because they didn’t go to jail and were mentored into diverting their energy to startups that created jobs.

No hackers, bam, no Apple, no Microsoft, no Google, and yes no Facebook because the founders would be too busy in a court of law.Probably not much NASA, DARPA or NSA given that almost everyone tests the limits of exploration in young age.

  • Consider the historic legality of protests as done by Gandhi, Martin Luther King , and the legal treatment of hacker activists recently. Civic rights in 60s and cyber rights in the 2010s. Do they have something in common?
  • Is law enforcement adequately trained to understand hacking , and what steps are being done for enhancing cyber law training and jurisprudence. I don’t think the cyber law enforcement is adequately manned with resources. When law enforcement is denied resources, it takes short cuts and questionable tactics including intimidation and making examples of people.

My father , a decorated police officer , always said that , if you are not a part of the solution, you are part of the problem.As a technical writer , I sometimes know how to solve technical problems but these laws create fear in the minds of future problem solvers.

  • Who is a hacker. Who is a criminal .Is a hacker ~= a criminal or Is a hacker == a criminal ?

Lets get some common sense back in the game before we turn more kids int rebels without a cause, or without a case.

(continued from the series)

 

Eric Siegel’s Book

Message from Founder of Predictive Analytics Conference, Eric Siegel whom we have interviewed here –

To drive early orders for my about-to-launch book, “Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die” (published by Wiley Feb 18), we’re providing this offer:

PREORDER NOW ($15 on Amazon, currently) and receive:

1) FREE ACCESS to the first of four modules of my online training program, “Predictive Analytics Applied”

2) A 40% DISCOUNT CODE off the full online training ($495), or its in-person version, “Predictive Analytics for Business, Marketing and Web” ($1,495 – April 25-26 in NYC)

 

DETAILS ON THIS OFFER: http://www.pawcon.com/blog/?p=855

– – – – – – – – – – – –

5 REASONS THIS BOOK MATTERS TO EXPERTS: http://www.pawcon.com/patimes/january13

FULL PREFACE: http://www.pawcon.com/patimes/december12

39 COLLEAGUES WHO LOVED THIS BOOK: http://www.pawcon.com/book/praise.php

MORE INFO: http://www.thepredictionbook.com

– – – – – – – – – – – –

“Exciting and engaging – reads like a thriller!”
– Marianna Dizik, Statistician, Google

In this rich, entertaining primer, former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction.

“What Nate Silver did for poker and politics, this does for everything else. A broad, well-written book easily accessible to non-nerd readers.”

—David Leinweber, author, Nerds on Wall Street: & Math, Machines and Wired Markets

“This book is an operating manual for 21st century life. Drawing predictions from big data is at the heart of nearly everything, whether it’s in science, business, finance, sports, or politics. And Eric Siegel is the ideal guide.”

—Stephen Baker, author, The Numerati and Final Jeopardy: Man vs Machine and the Quest to Know Everything

With a foreword from Thomas H. Davenport, coauthor of Competing on Analytics.

—

Blog Disclaimer-Eric is founder of PAW Conferences , which is a Blog Sponsor here.