hilary_mason_data hilary_mason_data-2013 hilary_mason_data-2013-107 knowledge-graph by maker-knowledge-mining

107 hilary mason data-2013-08-31-In Search of the Optimal … Cheeseburger


meta infos for this blog

Source: html

Introduction: In Search of the Optimal … Cheeseburger Posted: August 31, 2013 | Author: Hilary Mason | Filed under: Presentations | Tags: cheeseburgers , ignite , talks | 8 Comments » My ignite talk from last year’s data-centric Ignite spectacular is finally up! This was about a fun, personal project, where I was playing with NYC menu data.


Summary: the most important sentenses genereted by tfidf model

sentIndex sentText sentNum sentScore

1 In Search of the Optimal … Cheeseburger Posted: August 31, 2013 | Author: Hilary Mason | Filed under: Presentations | Tags: cheeseburgers , ignite , talks | 8 Comments » My ignite talk from last year’s data-centric Ignite spectacular is finally up! [sent-1, score-2.163]

2 This was about a fun, personal project, where I was playing with NYC menu data. [sent-2, score-0.601]


similar blogs computed by tfidf model

tfidf for this blog:

wordName wordTfidf (topN-words)

[('ignite', 0.724), ('cheeseburger', 0.241), ('cheeseburgers', 0.241), ('playing', 0.217), ('menu', 0.217), ('optimal', 0.217), ('year', 0.2), ('personal', 0.167), ('talks', 0.159), ('nyc', 0.14), ('august', 0.13), ('finally', 0.122), ('search', 0.122), ('last', 0.118), ('project', 0.118), ('presentations', 0.111), ('fun', 0.099), ('talk', 0.075), ('data', 0.052), ('mason', 0.028), ('comments', 0.018), ('tags', 0.011)]

similar blogs list:

simIndex simValue blogId blogTitle

same-blog 1 1.0 107 hilary mason data-2013-08-31-In Search of the Optimal … Cheeseburger

Introduction: In Search of the Optimal … Cheeseburger Posted: August 31, 2013 | Author: Hilary Mason | Filed under: Presentations | Tags: cheeseburgers , ignite , talks | 8 Comments » My ignite talk from last year’s data-centric Ignite spectacular is finally up! This was about a fun, personal project, where I was playing with NYC menu data.

2 0.15127401 115 hilary mason data-2014-02-14-Play with your food!

Introduction: Play with your food! Posted: February 14, 2014 | Author: Hilary Mason | Filed under: blog | Tags: data , food | Leave a comment » I spent a few minutes this week putting together a quick script to pull data from the Locu API . Locu has done the hard work of gathering and parsing menus from around the US and has a lot of interesting data (and a good data team ). The API is easy to query by menu item (like “cheeseburger”, my favorite ) and by running my little script I quickly had data for the prices of cheeseburgers in my set of zip codes (the 100 most populated metro areas in the US). I’m a big fan of Pete Warden’s OpenHeatMap tool for making quick map visualizations, and was able to come up with the following: The blue map is the average price of a cheeseburger by zip, with the red one showing the average price of pizza. The most expensive average cheeseburger can be found in Santa Clara, CA, ironically the city currently hosting the Str

3 0.13053235 37 hilary mason data-2009-11-25-IgniteNYC: How to Replace Yourself with a Very Small Shell Script

Introduction: IgniteNYC: How to Replace Yourself with a Very Small Shell Script Posted: November 25, 2009 | Author: hilary | Filed under: blog , Presentations | Tags: email , ignitenyc , presentations , scripts | 15 Comments » I recently gave a talk at IgniteNYC on How to Replace Yourself with a Very Small Shell Script . The Ignite events are a fun blend of performance, technology, and speaking skill. Each presenter gives a five minute talk with twenty slides that auto-advance after 15 seconds. The title of my talk is a classic geek reference (you can get the t-shirt ). I’m very interested in developing automated techniques for handling the massive and growing amounts of information that we all have to deal with. I started with e-mail and twitter, both of which are easy to access programmatically (via IMAP and the Twitter API ). In the talk, I went through several of the simple and successful e-mail management scripts that I’ve developed. I decided to

4 0.074280992 46 hilary mason data-2010-08-15-Should you attend Hadoop World? Yes.

Introduction: Should you attend Hadoop World? Yes. Posted: August 15, 2010 | Author: hilary | Filed under: blog | Tags: conferences , hadoop , hadoopworld , questions | 2 Comments » I received this e-mail via my contact form : I just discovered you via a Google search because I’m highly considering attending this year’s upcoming Hadoop World in NYC. I appreciate your page that you wrote up after attending last year’s event. I’m wondering if you feel that Hadoop has enough momentum and support to be a “here to stay” technology worth investing one’s time and education into, or is it possible it might fade and be deprecated by something else as the need for big data analysis continues to grow? … I’ve had a few similar conversation with people lately, and I thought posting my response might help others making similar decisions. The e-mail is referencing my post from last year’s hadoop world NYC . Thanks for reaching out. There are several questions in your messa

5 0.063783355 31 hilary mason data-2009-08-12-My NYC Python Meetup Presentation: Practical Data Analysis in Python

Introduction: My NYC Python Meetup Presentation: Practical Data Analysis in Python Posted: August 12, 2009 | Author: hilary | Filed under: blog | Tags: data , data analysis , nltk , presentations , python , spam , twitter | Leave a comment » I gave a talk at the NYC Python Meetup on July 29 on Practical Data Analysis in Python . I tend to use my slides for visual representations of the concepts I’m discussing, so there’s a lot of content that was in the presentation that you unfortunately won’t see here. The talk starts with the immense opportunities for knowledge derived from data. I spent some time showing data systems ‘in the wild’ along with the appropriate algorithmic vocabulary (for example, amazon.com ‘s ‘books you might like’ feature is a recommender system ). Once we can describe the problems properly, we can look for tools, and Python has many! Finally, in the fun part of the presentation, I demoed working code that uses NLTK to build a Twitter sp

6 0.062585309 40 hilary mason data-2010-02-16-Conference: Search and Social Media 2010

7 0.058298923 3 hilary mason data-2007-06-08-The Best Time to Search for Academic Jobs

8 0.051742561 9 hilary mason data-2007-08-27-Second Life Community Convention

9 0.050831057 103 hilary mason data-2013-06-04-Lucene Revolution Keynote: Search is Not a Solved Problem

10 0.04075316 89 hilary mason data-2013-02-04-Experimenting With Physical Graphs

11 0.040625446 4 hilary mason data-2007-06-11-Teaching Search Techniques with Google Games

12 0.040333178 75 hilary mason data-2012-08-22-DataGotham: The Empire State of Data

13 0.040269472 116 hilary mason data-2014-04-09-Come speak at DataGotham 2014!

14 0.038523577 60 hilary mason data-2011-08-21-What do you read that changes the way you think?

15 0.038012028 92 hilary mason data-2013-02-25-A (short) List of Data Science Blogs

16 0.037197564 67 hilary mason data-2011-10-31-Happy Halloween

17 0.037056927 49 hilary mason data-2010-11-10-Machine Learning: A Love Story

18 0.036532082 62 hilary mason data-2011-09-25-Conference: Strata NY 2011

19 0.035532981 30 hilary mason data-2009-06-01-My Barcamp Presentation: Have Data? What Now?!

20 0.035272494 80 hilary mason data-2012-12-28-Getting Started with Data Science


similar blogs computed by lsi model

lsi for this blog:

topicId topicWeight

[(0, -0.128), (1, -0.044), (2, 0.014), (3, -0.058), (4, -0.027), (5, -0.064), (6, -0.064), (7, -0.083), (8, -0.072), (9, 0.007), (10, 0.097), (11, 0.015), (12, -0.099), (13, -0.128), (14, -0.067), (15, 0.103), (16, 0.177), (17, 0.068), (18, -0.185), (19, 0.229), (20, -0.066), (21, 0.171), (22, -0.11), (23, -0.011), (24, 0.076), (25, -0.123), (26, 0.086), (27, 0.116), (28, -0.247), (29, -0.081), (30, 0.131), (31, -0.01), (32, -0.063), (33, -0.227), (34, 0.209), (35, -0.07), (36, 0.105), (37, -0.148), (38, -0.071), (39, -0.001), (40, 0.023), (41, -0.074), (42, -0.107), (43, 0.107), (44, -0.005), (45, -0.069), (46, 0.065), (47, -0.047), (48, 0.057), (49, 0.002)]

similar blogs list:

simIndex simValue blogId blogTitle

same-blog 1 0.98367536 107 hilary mason data-2013-08-31-In Search of the Optimal … Cheeseburger

Introduction: In Search of the Optimal … Cheeseburger Posted: August 31, 2013 | Author: Hilary Mason | Filed under: Presentations | Tags: cheeseburgers , ignite , talks | 8 Comments » My ignite talk from last year’s data-centric Ignite spectacular is finally up! This was about a fun, personal project, where I was playing with NYC menu data.

2 0.57542217 115 hilary mason data-2014-02-14-Play with your food!

Introduction: Play with your food! Posted: February 14, 2014 | Author: Hilary Mason | Filed under: blog | Tags: data , food | Leave a comment » I spent a few minutes this week putting together a quick script to pull data from the Locu API . Locu has done the hard work of gathering and parsing menus from around the US and has a lot of interesting data (and a good data team ). The API is easy to query by menu item (like “cheeseburger”, my favorite ) and by running my little script I quickly had data for the prices of cheeseburgers in my set of zip codes (the 100 most populated metro areas in the US). I’m a big fan of Pete Warden’s OpenHeatMap tool for making quick map visualizations, and was able to come up with the following: The blue map is the average price of a cheeseburger by zip, with the red one showing the average price of pizza. The most expensive average cheeseburger can be found in Santa Clara, CA, ironically the city currently hosting the Str

3 0.3634924 37 hilary mason data-2009-11-25-IgniteNYC: How to Replace Yourself with a Very Small Shell Script

Introduction: IgniteNYC: How to Replace Yourself with a Very Small Shell Script Posted: November 25, 2009 | Author: hilary | Filed under: blog , Presentations | Tags: email , ignitenyc , presentations , scripts | 15 Comments » I recently gave a talk at IgniteNYC on How to Replace Yourself with a Very Small Shell Script . The Ignite events are a fun blend of performance, technology, and speaking skill. Each presenter gives a five minute talk with twenty slides that auto-advance after 15 seconds. The title of my talk is a classic geek reference (you can get the t-shirt ). I’m very interested in developing automated techniques for handling the massive and growing amounts of information that we all have to deal with. I started with e-mail and twitter, both of which are easy to access programmatically (via IMAP and the Twitter API ). In the talk, I went through several of the simple and successful e-mail management scripts that I’ve developed. I decided to

4 0.27056402 3 hilary mason data-2007-06-08-The Best Time to Search for Academic Jobs

Introduction: The Best Time to Search for Academic Jobs Posted: June 8, 2007 | Author: hilary | Filed under: blog | Tags: search | Leave a comment » It’s common knowledge that academic job announcements are seasonal. In general, hiring committees are formed in the fall; they announce positions, wait a month or two for applications, then spend weeks interviewing candidates before making a decision in March or April for positions that will begin the following September. I found some data to prove it, and to possibly guide those engaged in an academic job search. I was playing with Indeed.com ‘s job trends feature, when I realized that you could search not only for particular skills and specializations, but for job categories. A search for “professor” reveals some nice peaks right around mid-October. While a search for “postdoc” isn’t quite so periodic. I can only guess that this can possibly be attributed to trends in funding for postdoctoral positions. It would

5 0.23014551 103 hilary mason data-2013-06-04-Lucene Revolution Keynote: Search is Not a Solved Problem

Introduction: Lucene Revolution Keynote: Search is Not a Solved Problem Posted: June 4, 2013 | Author: Hilary Mason | Filed under: Presentations | Tags: lucene , presentation , search , solr , talk | 3 Comments » The wonderful folks at LucidWorks have posted the video of my recent Lucene Revolution keynote. The brief idea behind this talk is that search is not a solved problem — there is still a big opportunity for building search (and finding?) capabilities for the kinds of questions that the current product fail to solve. For example, why do search engines just return a list of sorted URLs, but give me no information about the themes that are consistent across them? The audience was technical, specifically Lucene and Solr devs, so I spent some time talking about how we use those technologies at bitly.

6 0.22558695 31 hilary mason data-2009-08-12-My NYC Python Meetup Presentation: Practical Data Analysis in Python

7 0.20637259 67 hilary mason data-2011-10-31-Happy Halloween

8 0.2020278 30 hilary mason data-2009-06-01-My Barcamp Presentation: Have Data? What Now?!

9 0.1992739 89 hilary mason data-2013-02-04-Experimenting With Physical Graphs

10 0.1900422 40 hilary mason data-2010-02-16-Conference: Search and Social Media 2010

11 0.16905996 63 hilary mason data-2011-09-26-Hacking the Food System: The Ultimate Chocolate Chip Cookie

12 0.16776896 15 hilary mason data-2008-01-28-How to Control Second Life with a Wii-mote (on a Macbook Pro)

13 0.16412535 116 hilary mason data-2014-04-09-Come speak at DataGotham 2014!

14 0.16054499 53 hilary mason data-2011-03-11-Conference: PyCon 2011 Keynote!

15 0.14796689 4 hilary mason data-2007-06-11-Teaching Search Techniques with Google Games

16 0.14211528 46 hilary mason data-2010-08-15-Should you attend Hadoop World? Yes.

17 0.13839814 60 hilary mason data-2011-08-21-What do you read that changes the way you think?

18 0.13743743 50 hilary mason data-2011-02-07-NPR: Interview on Science Friday

19 0.13712993 93 hilary mason data-2013-03-01-Speaking: Pick a Vague and Specific Title for Your Talk

20 0.13172013 77 hilary mason data-2012-09-18-Hey Yahoo, You’re Optimizing the Wrong Thing


similar blogs computed by lda model

lda for this blog:

topicId topicWeight

[(2, 0.032), (21, 0.624), (56, 0.129)]

similar blogs list:

simIndex simValue blogId blogTitle

same-blog 1 0.96943951 107 hilary mason data-2013-08-31-In Search of the Optimal … Cheeseburger

Introduction: In Search of the Optimal … Cheeseburger Posted: August 31, 2013 | Author: Hilary Mason | Filed under: Presentations | Tags: cheeseburgers , ignite , talks | 8 Comments » My ignite talk from last year’s data-centric Ignite spectacular is finally up! This was about a fun, personal project, where I was playing with NYC menu data.

2 0.86363029 53 hilary mason data-2011-03-11-Conference: PyCon 2011 Keynote!

Introduction: Conference: PyCon 2011 Keynote! Posted: March 11, 2011 | Author: hilary | Filed under: blog , Presentations | Tags: conference , conferences , pycon , python | 1 Comment » I gave the opening keynote this morning at PyCon . The one thing that everyone in the room at PyCon has in common is that we all love to code. I used that as the central theme of the talk, spoke about the constructs that give us joy, the history of some of our favorite patterns (they date as far back as the 60s!) and proposed that we think about the way we’ll compute fifty years into the future. There’s also a bit of fun data hacking, of course. PyCon 2011 Keynote View more presentations from Hilary Mason . Enjoy the slides. The video is up! Please let me know here or on Twitter if you have any questions or comments.

3 0.20940249 87 hilary mason data-2013-01-28-Startups: Why to Share Data with Academics

Introduction: Startups: Why to Share Data with Academics Posted: January 28, 2013 | Author: Hilary Mason | Filed under: blog | 5 Comments » Last week I wrote a bit about how to share data with academics . This is the complimentary piece, on why you should invest the time and energy in sharing your data with the academic community. As I was talking to people about this topic it became clear that there are really two different questions people ask. First, why do this at all? And second, what do I tell my boss? Let’s start with the second one. This is what you should tell your boss: Academic research based on our work is a great press opportunity and demonstrates that credible people outside of our company find our work interesting. Having researchers work on our data is an easy way to access highly educated brainpower, for free, that in no way competes with us. Who knows what interesting stuff they’ll come up with? Personal relationships with university faculty ar

4 0.20834327 58 hilary mason data-2011-06-22-My Head is Open Source!

Introduction: My Head is Open Source! Posted: June 22, 2011 | Author: Hilary Mason | Filed under: blog | Tags: 3d , makerbot , opensource | 8 Comments » Last night I visited friends at Makerbot , where artist-in-residence Jonathan Monaghan scanned my head with a high-resolution laser scanner. The model is available on Thingiverse and can be printed on your friendly neighborhood makerbot or other 3d printer. There are lots of other awesome models of people and things to play with, including Stephen Colbert’s head . I look forward to the emergence of plastic clone head armies! Edit: Please note: thanks for asking, but brains are not included.

5 0.20826866 114 hilary mason data-2013-12-18-Using Twitter’s Lead-Gen Card to Recruit Beta Testers

Introduction: Using Twitter’s Lead-Gen Card to Recruit Beta Testers Posted: December 18, 2013 | Author: Hilary Mason | Filed under: blog | Tags: email , hack , twitter | 12 Comments » It turns out that it’s pretty easy to co-opt Twitter’s Lead Generation card for anything where you want to gather a bunch of e-mail addresses from your Twitter community. I was looking for people willing to alpha test a little side project of mine, and it worked great and didn’t cost anything. The tweet itself: Love tech discussion but looking for a better community? Help me beta test a side project! https://t.co/H3DYjbCy19 — Hilary Mason (@hmason) December 12, 2013 I created it pretty easily: First, go to ads.twitter.com , log in, and go to “creatives”, then “cards”. Click “Create Lead Generation Card”. It’s a big blue button. You can include a title and a short description. Curiously, you can also include a 600px by 150px image. This seems like an opportunity to

6 0.20658378 109 hilary mason data-2013-09-30-Need actual random numbers? Meet the NIST randomness beacon.

7 0.20590632 7 hilary mason data-2007-07-30-Tip: How to Search Google for Ideas

8 0.16200939 4 hilary mason data-2007-06-11-Teaching Search Techniques with Google Games

9 0.15543194 40 hilary mason data-2010-02-16-Conference: Search and Social Media 2010

10 0.15289596 63 hilary mason data-2011-09-26-Hacking the Food System: The Ultimate Chocolate Chip Cookie

11 0.1525415 85 hilary mason data-2013-01-19-Startups: How to Share Data with Academics

12 0.138833 80 hilary mason data-2012-12-28-Getting Started with Data Science

13 0.13835102 46 hilary mason data-2010-08-15-Should you attend Hadoop World? Yes.

14 0.13701965 92 hilary mason data-2013-02-25-A (short) List of Data Science Blogs

15 0.13535771 37 hilary mason data-2009-11-25-IgniteNYC: How to Replace Yourself with a Very Small Shell Script

16 0.13409545 3 hilary mason data-2007-06-08-The Best Time to Search for Academic Jobs

17 0.12929681 82 hilary mason data-2013-01-08-Bitly Social Data APIs

18 0.12852608 81 hilary mason data-2013-01-03-Interview Questions for Data Scientists

19 0.12669122 105 hilary mason data-2013-07-05-Speaking: Spend at least 1-3 of the time practicing the talk

20 0.12411517 116 hilary mason data-2014-04-09-Come speak at DataGotham 2014!