Becoming A Data Scientist Podcast Episode 0: Me!
Here is the first episode of the Becoming a Data Scientist Podcast, which is also available in video form!
(sorry for the poor video quality!)
In this episode, I talk a little about the podcast, I talk about my own background, and I introduce the Data Science Learning Club. Enjoy!
(Note: Episode 1, the first interview episode, comes out Monday 12/21!)
Podcast Audio Links:
Link to podcast Episode 0 audio
Podcast’s RSS feed for podcast subscription apps
(I will distribute this out to sites like iTunes and Stitcher soon)
Podcast Video Playlist:
Youtube playlist where I’ll publish future videos
More about the Data Science Learning Club:
BPDM’s interview with….. me!
An organization based in Puerto Rico called “Broadening Participation in Data Mining” (BPDM) interviewed me over the weekend, and it’s online now! Without further ado…. Thanks to Orlando and Herbierto for having me on! (P.S. I did put up the post about Data Sources on DataSciGuide)
Books for Data Science Beginners, and Data Sources
I just wanted to note here on Becoming A Data Scientist that I recently wrote two posts over on Data Sci Guide that are getting some attention Books to Read if You Might Be Interested in Data Science and Data Sources & APIs for Data Science Projects Enjoy!
Monday Silliness
OK so I’m tired enough to be a little silly right now, and I think I’m finally feeling bold enough to share my parody songs inspired by these twitter exchanges: @matt_slotnick @dpatil haha i've said b4 that O'Jays "for the love of money" but w/"data data data…DATA" runs thru my head b4 projects :) — Data Science Renee (@BecomingDataSci) May 14, 2015 @BecomingDataSci @lukedones @matt_slotnick possible theme song, alter @bryanadams "Summer of 69" to "Summer of Data Science" — Ryan Swanstrom (@ryanswanstrom) May 27, 2015 @ryanswanstrom @becomingdatasci @matt_slotnick '69' -> "datasci" — lukemeister (@lukedones) May 27, 2015 So here goes…. The Summer of Data Sci’ To the tune of… Lyrics: I took my first course in machine learning Found it all for free online Coded ’til my fingers bled Was the Summer of Data Sci Me and some twitter friends Got together and we tried real hard To understand how data covaried (linear dependence between two vars) Oh when I look back now That summer was the best endeavor And if I had the choice I wouldn’t change it whatsoever Those were the best days of my life Ain’t no use in complainin’ When you got learning to do Spent my evenings staring at my laptop And that’s when I downloaded you You were free and open source I thought that you would last forever And then I faced a choice I had to port you now or never Python 2.7 to 3.5 Oh yeah Back in the Summer of Data Sci Ohhh We were consumin’ APIs Which were RESTful and RESTless The response was undefined… I guess nothin’ can work forever, 410, gone And now the times are changin’ Look at everything that’s come and gone Sometimes I import that old library Documented it in IPython You were free and open source Analyzed my datasets on weather Your model helped me understand Bayesian time series forecasts better Those were the best days of my life Oh yeah Back in the Summer of Data Sci Uh-huh It was the Summer of Data Sci, oh yeah Me and my Summer of Data Sci, oh and… For the Love of Data To the tune of… Lyrics: Data, data, data, data. DATA. [6x] Some people got to have it Some people really need it Listen to me y’all, make things make things, make things rad things with it You wanna do things, do things Do things, good things with it Talk about raw data, data Talk about raw data Data files, y’all, c’mon now For the love of data People will knowledge-discover For the love of data People will track their own numbers For the love of data People can’t even press delete Because they never know which algorithm just might need it For that clean, learned-by-machine, forecasting almighty model (cross-validated) For the love of data People will train decision trees For the love of data People develop their own techniques For the love of data A woman will sell her precious time For a small CSV, it contains a lot of weights Call it clean, learned-by-machine, forecasting almighty model (talk about talk about stats) I know that data’s generated by all people Internet of Things, some evil Give me a sample, brother can you data mine? Data can drive some people out of their minds Data data data no good no good don’t sell your soul for data Data data data AI AI deep learning will I know that data’s generated by all people Internet of Things, some evil Give me a sample, brother can you data mine? Data can drive some people out of their minds Data data data Got to have it, I really need it Data data data Give it up, give it up, give it up, yeah. Data data data Gotta have it Some people really need it Give me give me give me raw data Data data data I need I need Give me give me give me How many strings are in this array Don’t let don’t let don’t let data rule ya How many neighbors optimize this k Don’t let don’t let don’t let don’t let data fool ya yeah yeah yeah Got to train it, then really test it Save your code. Save your code. Let the feeds stream stream stream stream stream. People, don’t let data, don’t let data change you almighty model It will keep on changing, changing up your mind I’m tellin’...
Something has been bothering me about Data Science Central
So, what I’m about to write about actually occurred a few months ago, but I am reminded of it every day when I receive an email from Data Science Central or see someone tweet an article from the blog network (which includes Analytics Bridge, Big Data News, etc.), so I figured if it’s still bothering me, it’s worth writing about.