Eduardo Ariño de la Rubia on DataScience.LA

PyDSLA: PyMC3 and jobs.py

Thu, 19 Jan 2017 21:15:07 -0800

Update: Video recording of the meet up here:

This video is no longer available on YouTube (original link).

Come to the PyDSLA January Meetup to hear talks about PyMC3 and jobs.py!

For this event we are incredibly fortunate to have two incredibly speakers give really interesting talks.

PyDSLA: Talks from the LA Data Science Community

Fri, 14 Oct 2016 15:29:39 -0700

DATE AND TIME

Wed, November 2, 2016
6:30 PM – 9:30 PM PDT
Come to the PyDSLA November Meetup to hear talks from the community!

In the last month, the organizers of the PyDSLA Meetup sent out a call for speakers, and the community answered with a number of great members coming forward willing and able to talk about some of the cool ways they are using the Python Data Science ecosystem to do cool stuff.

DSSTNE: A New Deep Learning Framework for Large Sparse Datasets

Fri, 14 Oct 2016 15:29:22 -0700

Update: This event has ended. Slides are available here.
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Update: Video recording by Carl Mullins:
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This video is no longer available on YouTube (original link).

PyDSLA: The Nitty Gritty of Advanced Analytics Using Apache Spark in Python

Mon, 18 Apr 2016 12:57:06 -0700

Video Available Now:

▶ PyDSLA The Nitty Gritty of Advanced Analytics Using Apache Spark in Python May 5, 2016

Talk by Miklos Christine, solutions engineer at Databricks

PyDSLA: Erin LeDell, Presents Intro to Machine Learning with H2O and Python

Tue, 05 Jan 2016 09:30:53 -0800

Join PyDSLA for a talk by Erin LeDell Intro to Machine Learning with H2O and Python

Get your tickets HERE

Summary:

This workshop will provide an overview of how to use H2O, the scalable open source machine learning library, from Python. The core algorithms of H2O are implemented in Java, however, fully-featured APIs are available in R, Python, Scala, and also through a web interface. The focus of this hands-on workshop will be the “h2o” Python module.

LA Data Warehouse, Business Intelligence and Analytics - Jihoon Son

Tue, 05 Jan 2016 09:30:37 -0800

Tickets available HERE

Talk:

Jihoon Son Presents - Introduction to Apache Tajo: Future of Data Warehouse

Abstract: Apache Tajo is a data warehouse system for Web-scale data. It provides virtual integration of a multitude of diverse data sources, thereby facilitating easy and rapid data integration which has been regarded as an essential, but heavy step in business intelligence. In addition, it has a fault-tolerable distributed query engine for accelerating query speed. With the “query federation” and “distributed processing” capacities, Tajo is capable of providing users with reliable and efficient analysis of Web-scale data spread on multiple sources. I will introduce Apache Tajo including its overall architecture, current state and challenges, and discuss advantages what Tajo can bring to users. In addition, I will give a brief demo of Tajo.

Meetup Summary - Winning Data Science Competitions

Fri, 13 Nov 2015 12:13:40 -0800

If you’ve never heard of kaggle, I guess the first question I have to ask is “how did you end up on DataScience.LA?” :)

Kaggle is one of the foremost machine learning competition websites on the internet. Companies from GE to Criteo and everything in between create competitions. These competitions are in the form of a dataset, ranging from small to relatively large (up to many many gigabytes), a stated goal (such as predicting an event or finding a numeric value) and an evaluation criteria. The Kaggle community has grown in the last few years, so that now competitions often host thousands of participants!

LA City College Forms Data Science Team with City of LA

Tue, 29 Sep 2015 15:28:11 -0700

In a partnership with the City of Los Angeles government, LA City College (LACC) has formed a civic data analysis team for 2- and 4-year college students and anyone looking to enter the data science profession. The team will complete a beginning-level data analysis project on Friday afternoons during a 10-week period during the Fall 2015 semester, using data provided by the City of LA. We will present our results to City of LA staff in December.

Announcing Meetup! Lior Abraham of Inter|Ana

Tue, 23 Jun 2015 17:10:06 -0700

Click HERE to sign up on Eventbrite!

This is the second event of the new Data Warehouse, Business Intelligence and Analytics meetup.

Talks:

1. Eduardo Arino de la Rubia: MySQL to Vertica with Tungsten Replicator

In this very (very) short talk, I will discuss how you can, for free, stream your MySQL data to a Vertica Community Edition cluster, and do near real-time analytics on up to 1TB of data.

PyDSLA Video: Carlos Guestrin, CEO of DATO

Thu, 18 Jun 2015 15:53:26 -0700

On May 14th at the Venice Arts Center, the Los Angeles Python and Data Science communities were fortunate to hear a talk from world-renowned expert and CEO of Dato, Carlos Guestrin. Often times when you have a meetup where a presenter is tightly identified with a company, the concern is that the presentation will fundamentally become a product pitch. We had nothing to be worried about in this case - Carlos presented for nearly an hour on a wide range of subjects from how the Machine Learning pipeline has changed over time to Deep Learning!

PyDSLA: Dato CEO, Carlos Guestrin, Presents Dato

Tue, 05 May 2015 08:40:40 -0700

*** EVENTBRITE LINK HERE ***

PyDSLA - Dato: A Platform for Practical, Large-Scale Machine Learning

Join PyDSLA for a talk by Carlos Guestrin about Presents Practical, Large-Scale Machine Learning in python.

Summary:

Data Science is perhaps the hottest profession on the market today. Folks with backgrounds ranging from Statistics and Physics to Engineering and Computer Science are eager and excited to transition to this field. However, designing and deploying data analysis and machine learning apps at scale is a significant challenge to overcome: For some folks, machine learning algorithms and methods can be obscure, too mathy, and disconnected from practice. For others, writing and deploying scalable software requires significant effort, which distracts them from focusing on their deep analytic efforts.

Data Science @ Whisper

Mon, 30 Mar 2015 09:23:55 -0700

Where were you on the evening of Monday, March 23rd? Do you remember what you were up to? If you were one of the over 100 attendees to the latest installment of Szilard’s Data Science Meetup, you definitely remember! You were at Cross Campus Santa Monica, receiving a teaser on fundamentals of probabilistic programming by LA ML Meetup founder Rob Zinkov along with a detailed master class on modern machine learning architectures and approaches by Los Angeles’ own Whisper!

ASA DataFest 2015 at UCLA

Wed, 04 Mar 2015 10:00:20 -0800

What is DataFest?
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DataFest is a team competition, where a team of up to 5 undergraduate students has less than 48 hours to provide the best insight gleaned from a large, complex data set — and communicate that insight to an audience of their peers and the DataFest judges. DataFest 2015 will be April 24th through the 26th, beginning at 6pm on Friday the 24th.

Yihui Xie presents HTML Widgets

Fri, 13 Feb 2015 10:35:31 -0800

The Shiny framework, by RStudio, is growing in popularity as a tool that makes it easy for R developers to leverage the web as a deployment platform for sharing their analysis. However, since the very earliest release of Shiny, the development group has been bombarded with the same series questions over and over again, questions like “Does it work with d3.js?” and “Can I use JavaScript in Shiny?”

Joe Cheng presents Shiny

Fri, 13 Feb 2015 10:25:38 -0800

The Shiny framework is a web application framework for the R programming language, designed by Joe Cheng, to help R programmers turn their analysis into interactive web applications. Fortunately, it does without requiring that the R programmer know HTML, CSS or JavaScript - greatly widening the possible audience of users. At the January DataScience.LA R Meetup, we were fortunate to have Joe Cheng, Software Engineer at RStudio and original architect of Shiny present an introduction to Shiny.

PyDSLA - Blaze: Connecting analysts to big computation

Sat, 07 Feb 2015 15:35:01 -0800

Join PyDSLA for a talk by Matthew Rocklin about the high level APIs being developed for Python for expressive data manipulation and analysis.

Summary:

Pandas and NumPy serve us well. They give interactive high-level access to efficient low-level code. As datasets grow larger than memory this low-level code becomes obsolete but the high-level interface remains valuable. Blaze connects that high-level interface to a number of other computational systems like SQL, Mongo, or Spark, extending the scope of interactive analysis. In this talk we go over common use cases and Blaze as well as a bit of its internal design.

DataScience LA Meetup Summary: Data Science @ DataPop

Mon, 26 Jan 2015 10:41:08 -0800

Ben Zamanzadeh - Data Science @ Datapop - LA Data Science meetup - January 2015 · Speaker Deck

On January 13th, DataScience.LA held its first Data Science meetup of 2015, hosting a speaker from a local semantic advertising startup, DataPop. Their CTO, Dr. Ben Zamanzadeh, gave an in-depth presentation (linked above) of his perspective on e-commerce and advertising, which focused on extracting semantic meaning and DataPop’s marketing knowledge graph. He began his talk by discussing the evolution of e-commerce and moved quickly to semantics, making some very strong statements regarding DataPop’s architectural choices. For example, even though they provide a semantic graph, they are based on Redshift and do not use graph databases - which was quite the surprise to us here at DataScience.LA! At one point, Dr. Zamanzadeh even commented,

Announcing First LA Data Warehouse, Business Intelligence and Analytics Meetup!

Thu, 22 Jan 2015 20:26:41 -0800

We are pleased to announce the first meetup of the LA Data Warehouse, Business Intelligence and Analytics meetup group! On February 9th, we have 4 speakers scheduled to give an engaging overview along with a few of their insights into the field.

DataVis with Plot.ly (@plotlygraphs) - Meetup Summary

Tue, 30 Dec 2014 15:55:03 -0800

It pains me to admit it, but even though I had visited their site, created an account, and played around with their tools, I didn’t really get the value proposition behind Plot.ly. I already use ggplot, bokeh, and d3.js, I already use knitr and ipython notebooks, so why do I need a new way of posting my plots on a web page?

Meetup: DataVis with Plotly on December 16th

Fri, 12 Dec 2014 10:35:30 -0800

Plotly is a web-based platform for making graphs and analyzing data. Plotly’s APIs and web app let teams work together online to make 2D, 3D, and streaming graphs using R, Python, MATLAB, Julia, SAS, and and Excel, all together, all in one platform. The goal is to support technical and non-technical collaboration at all levels. Plotly translates ggplot2, matplotlib, and MATLAB plots into interactive, web-based, shareable plots.

JJ Allaire, the useR! 2014 interview

Wed, 15 Oct 2014 10:00:42 -0700

JJ Allaire has courageously bet, time and time again, on the cutting edge of technologies. In doing so, he has not only benefited from the fertile rains but has often times himself been the rainmaker. He has, to a great degree, democratized development on the web by bringing the power to create interactive web applications to a wider audience than those select few who had access to both a shell account and Unix knowledge. ColdFusion was a platform by the web and for the web, and its adoption revolutionized programming ‘for the web’ as its own worthy pursuit. This story also resolutely validates the idea that by creating tools for developers at the beginning of a time of revolutionary change in technology, one could not only validate the tools but also help stage the unfolding narrative as one with many participants.

Hadley Wickham presents dplyr at useR! 2014

Mon, 13 Oct 2014 10:00:21 -0700

Hadley Wickham is hard at work, releasing packages which leverage the expressive power of R to keep easy things intuitive, and to make hard things possible. Having already developed a number of packages which address other steps in the data processing and analysis pipeline, he chose to address the process by which R developers ingest, manipulate, and transform data. This package, dplyr, is a narrowly focused library, designed to provide 90% of the functionality required in most data munging tasks. It may not solve every possible problem in data munging, but dplyr’s built in primitives will reduce your need to drop to “base R” for most common tasks. It does so by leveraging the magritr package’s “pipe” operator, and is inspired by dataflow programming constructs. It is fast, it is powerful, and it has been the single largest productivity boost that many of us here at DataScience.LA have adopted in 2014. In this video, Hadley provides a very quick introduction to the dplyr package, describing his philosophy behind the package’s design while providing a number of illustrative examples as to the flexibility, expressiveness, and power of this tool.

A Conversation with Joe Cheng at useR! 2014

Mon, 06 Oct 2014 10:18:56 -0700

Joe Cheng is a software engineer. Unfortunately the term gets thrown around pretty lightly, so I’d like to make sure that I convey the appropriate amount of gravitas when I refer to him as such. Joe Cheng is a *great* Software Engineer. He has worked for some of the largest technology companies on the planet, building cutting edge tools which empowered the web browser as a full blown platform instead of a historical curiosity. Joe is one of those software engineers who saw a future with the web as a platform for modern software, then worked hard to make it a reality. When the time came to build the next generation of data science IDEs, an IDE targeting the web as a platform, RStudio called Joe.

Packrat presentation at useR! 2014

Fri, 26 Sep 2014 11:25:44 -0700

There comes a time in a software toolchain’s lifecycle where the focus shifts from developer productivity and preference to the ability to deploy solutions in production which coexist gracefully in the enterprise. Configuration management and dependency management are two of the first points of friction in this transition, as the free-wheeling methods preferred by developers are at odds with the structured methods and isolation desired by administrators, who serve as gatekeepers to enterprise deployment. R is currently at this very point in the transition, in the midst of transformation from a language and environment used primarily in academic research to its growing place in the enterprise. At useR! 2014 there were a series of presentations on how dependency management can be addressed within the R ecosystem, ranging from “provider” side options (e.g. freezing CRAN and private repositories) to the client side options, where a project maintains its own dependencies as part of its codebase.

Dirk Eddelbuettel, the useR! 2014 Interview

Mon, 22 Sep 2014 10:35:04 -0700

First things first, Dirk Eddelbuettel was recently named ordinary. This seems contradictory, since Dirk is a known HPC expert, an organizer of the R in Finance conference, the creator of Rcpp, and a Debian contributor. These are only a few of the many accolades bestowed upon Dirk without even a hint of puffery. And yet, Dirk Eddelbuettel is considered ordinary. What makes Dirk ordinary? It should be mentioned that to the Vienna-based nonprofit that provides R’s leadership, the R Foundation for Statistical Computing, ‘ordinary’ means something quite different to the lay person. Ordinary members provide guidance and direction for the R Project for Statistical Computing. It’s hard to imagine someone more qualified than Dirk for this task.

Dirk Eddelbuettel on open source in finance

Mon, 22 Sep 2014 10:34:28 -0700

The industry as a whole has been a very large net importer of open source technologies.

Interactive Visualizations from R using rCharts

Thu, 18 Sep 2014 14:26:20 -0700

At useR! 2014 Ramnath Vaidyanathan gave a tutorial and a presentation on one of his current project, rCharts. This R package allows you to create, customize and share interactive visualizations straight from R. rCharts leverages several existing javascript visualization libraries such as polychart, MorrisJS, NVD3, xCharts, HighCharts, leaflet, and Rickshaw, providing R users a fantastic array of new features and visualization styles.

Interview with Romain Francois at useR! 2014

Mon, 15 Sep 2014 22:17:41 -0700

At the useR! 2014 conference, without a doubt one of the overriding themes was R’s history, legacy, and future as an interface into the “best of the best” algorithms which were available. Romain Francois’ package, Rcpp11, is very much the spirit and the letter of this ethos and telos of R as an interface. This package is a reimplementation of Dirk Eddelbuettel’s Rcpp package with an emphasis on C++ 11’s features. Whether it’s an R user hitting performance limitations, or someone trying to integrate a C/C++ library into their analysis, Romain’s tools are there to help.

Romain Francois

Mon, 15 Sep 2014 18:55:27 -0700

If I could meet young me I would punch him in the face.

Martin Maechler Invited Talk at useR! 2014 - Good Practices in R Programming

Thu, 11 Sep 2014 10:38:11 -0700

Martin Maechler is a member of R-Core. This distinction puts him in the very apex of understanding of the R programming language and environment. He is a professor of statistics with wide and varied interests and a leading expert in statistical computing environments. He is also a prolific programmer, evidenced by his maintenance of the officially recommended cluster package for unsupervised clustering and analytics, the lead developer of Emacs Speaks Statistics, and co-maintainer of the Matrix package… plus too many other contributions to list them all here.

Martin Maechler on Programming

Thu, 11 Sep 2014 10:37:49 -0700

Your R ‘programs’ should become works of art.

Heather Turner, the useR! 2014 Interview

Mon, 08 Sep 2014 23:58:02 -0700

Heather Turner is a biostatistician and Associate Fellow at the University of Warwick, as well as a consultant. She is a former editor of the R Journal, was a local organizer for the useR! 2011 conference, and holds a wealth of information about the field of data science, the state of the technology, and the wider community.

Shiny: R made interactive @ useR! 2014

Thu, 04 Sep 2014 11:13:51 -0700

At useR! 2014, one of the most anticipated presentations was Joe Cheng’s Shiny: R made interactive. It was but one of the of a fantastic series of talks by RStudio representatives; check out Winston Chang’s ggvis: Interactive graphics in R for another great talk. Shiny begins with your R code and ends with the customer’s view: an interactive, browser-accessible application. This enables you to place a great deal of power into your users’ hands to customize their view and provides a variety of new and innovative ways to interact with the data, such as by tuning parameters and focusing on sub-populations. Essentially, Shiny functions by allowing you to “wire up” up a reactive application, greatly speeding up the development of a data and analysis based web app.

Yihui Xie, the useR! 2014 Interview

Mon, 01 Sep 2014 11:00:48 -0700

In science consensus is irrelevant. What is relevant is reproducible results. The greatest scientists in history are great precisely because they broke with the consensus.

– Michael Crichton

Yihui Xie intended to make it easier to do his homework, but instead found himself tackling one of the greatest problems in modern science: the reproducibility of results.

Yihui Xie on the birth of knitR

Mon, 01 Sep 2014 09:05:34 -0700

I wanted to do my homework more conveniently

Matt Dowle's data.table Talk from useR! 2014

Thu, 28 Aug 2014 11:04:36 -0700

Matt Dowle holds a wealth of knowledge and is worth listening to for a variety of reasons. He has worked for some of the world’s largest financial organizations, holding positions at the focal point between money and data. He has been programming in R for well over a decade. He has lived the open source mantra, by not only consuming open source software but also releasing his own community contributions to CRAN. On top of those accomplishments, he’s also quite funny and spins a heck of a good yarn.

David Smith, the useR! 2014 Interview

Mon, 25 Aug 2014 10:00:32 -0700

“At one point, the only source for daily R news was David Smith’s blog.” – Szilard Pafka

David Smith is an integral part of the R community. His background in computational statistics goes back to the early 90s . David has worked at Revolution R, one of the leading R companies, for nearly a decade. His name has been included in lists such as:

David Smith

Mon, 25 Aug 2014 09:59:44 -0700

R is really cool and people that use it can do a lot…

R in Production - Panel Discussion - LA R meetup @ useR! 2014

Thu, 21 Aug 2014 14:27:50 -0700

(Please click here if the video above doesn’t load.)

The video above is from an event at useR! 2014 consisting of Yasmin Lucero’s presentation plus an incredible panel discussion, which is included here. The title of the panel was “R’s Place in the Production Environment”, and was moderated by Tareef Kawaf, President at RStudio. Five high-profile members of the R community were on this panel, spanning the gamut of the enterprise:

R in Production - Opening Talk by Yasmin Lucero - LA R meetup @ useR! 2014

Thu, 21 Aug 2014 13:54:56 -0700

(Please click here if the video above doesn’t load.)

During useR! 2014, the LA R Meetup (run by Szilard Pafka) organized an event focused on R’s status in industry. This event took the form of a presentation by Yasmin Lucero, Senior Statistician at AOL-Gravity, followed by a panel discussion. The video above captures the presentation, where Yasmin provides an excellent overview of the current status of R in the enterprise and breaks down the taxonomy of solutions for which R is commonly chosen as a development platform. From batch reporting and dashboards for internal deployment to full blown public facing analytics data products, R has certainly found a home in business. Yasmin’s talk concludes with specific, operational aspects of managing R in the enterprise, such as library and dependency management. Enjoy the video and don’t forget to tune in for Part 2 of this session where the panel discussed “R’s Place in the Production Environment.”

Announcing the DSLA Podcast!

Mon, 18 Aug 2014 11:36:47 -0700

You’ve asked and we’ve listened. The audio content from our DataScience.LA interviews will now be released as a podcast! Check us out on iTunes or point your podcast app to here!

We’ve already released the audio from the userR! conference interviews of Hadley Wickham, Max Kuhn, and Tal Galili on iTunes and hope to release upcoming interviews in podcast form shortly after our video blog posts. Thanks for being a part of the DataScience.LA community and we look forward to hearing more from you!

Tal Galili

Mon, 18 Aug 2014 10:32:01 -0700

What I can say is that I am joyful at looking at what people are doing!

A Conversation with Tal Galili at useR! 2014

Mon, 18 Aug 2014 10:31:16 -0700

“One can acquire everything in solitude except character.”

― Stendhal

The Interview
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Tal Galili is, in many ways, a central spoke of the R community. Both gregarious and thoughtful, he has grown his website R-bloggers into the definitive aggregation of the R community’s voice through his genuine, passion-driven intensity. Tal had a simple desire as a young programmer - to learn more about his chosen tools - and looked to the internet to find other voices like his. When googling for “R blogs”, Tal found numerous blogs about pirates, but only a handful about R. This interview details how Tal started R-bloggers and decided to challenge the status quo, as well as giving us a peek behind the curtain for his new projects.

Winston Chang's "Interactive Graphics with ggvis" at useR! 2014

Thu, 14 Aug 2014 10:15:15 -0700

Winston Chang’s “Interactive Graphics with ggvis” talk at useR! 2014 was in many ways a watershed moment for the the data science community, as the future directions of rich data visualization for analytics, communication, and the web were revealed. In this talk, Winston introduces the viewer to ggvis, lays out the fundamental architecture, and provides an overview of reactive architectures.

Max Kuhn on caret

Mon, 11 Aug 2014 10:02:40 -0700

We’ve made a lot of the same mistakes, and we want to protect people from doing them

A Conversation with Max Kuhn - The useR! 2014 Interview

Mon, 11 Aug 2014 10:02:16 -0700

The Interview
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In the video above, Max provides some amazing insights into the why and how of caret, an R package he created. He also discusses his book on Applied Predictive Modeling which he co-authored with Kjell Johnson, including details on how he set out to write the book he wished he would have had. As a special bonus, Max also describes Quinlan’s C5.0, an alternate “forest of decision trees” algorithm, the secrets of which were hidden behind commercial licensing for years - and which has recently been ported and made available to the R ecosystem. Whether you are a beginner just getting your feet wet with R and predictive modeling, or a seasoned data scientist, this interview has something for everyone.

John Chambers useR! 2014 Keynote

Wed, 06 Aug 2014 18:14:19 -0700

At useR! 2014, John Chambers was generous enough to provide us with insight into the very early stages of user-centric interactive data exploration. He explains, step by step, how his insight to provide an interface into algorithms, putting the user first has placed us on the fruitful path which analysts, statisticians, and data scientists enjoy to this day. In his talk, John Chambers also does a fantastic job of highlighting a number of active projects, new and vibrant in the R ecosystem, which are helping to continue this legacy of “a software interface into the best algorithms.” The future is bright, and new and dynamic ideas are building off these thoughtful, well measured, solid foundations of the past.

A Conversation with Hadley Wickham - the useR! 2014 interview

Wed, 06 Aug 2014 18:13:38 -0700

Hadley Wickham is famous. He’s not Kardashian famous, but walking around useR! and seeing the community’s reaction to him, there’s no question, he’s ‘R famous’. If you have the good fortune to see his talks, tutorials, or sessions in person, you owe it to yourself to do so. He projects depth and wisdom with a booming voice, which combines with a hard-won confidence brought about by years of honing his craft and developing his expertise. He takes as much time as is needed to answer questions, listens to every single bit of feedback and succeeds in making you feel that what you say indeed matters. Hadley Wickham has poise. It’s also quite obvious, if you watch him for long enough, that this fame suits him like an itchy sweater made by a loving grandparent. It brings warmth and it comes from a place of love, but it’s always a little uncomfortable regardless of how well it may fit.

Hadley on R

Wed, 06 Aug 2014 18:12:57 -0700

I think it’s interesting that R is an extremely fixable language.

Hadley Wickham

Making Maps with a Punchline

Wed, 06 Aug 2014 18:09:43 -0700

I’ve had a lifelong fascination with maps, and working with R definitely enables my map habit. Perhaps there’s something about being an immigrant that made me particularly introspective, since from a very early age I was aware that I was “from” one place on the map and now lived at this “other place.”

Eduardo Ariño de la Rubia on DataScience.LA

PyDSLA: PyMC3 and jobs.py

PyDSLA: Talks from the LA Data Science Community

DSSTNE: A New Deep Learning Framework for Large Sparse Datasets

Update: This event has ended. Slides are available here. #

Update: Video recording by Carl Mullins: #

PyDSLA: The Nitty Gritty of Advanced Analytics Using Apache Spark in Python

PyDSLA: Erin LeDell, Presents Intro to Machine Learning with H2O and Python

LA Data Warehouse, Business Intelligence and Analytics - Jihoon Son

Meetup Summary - Winning Data Science Competitions

LA City College Forms Data Science Team with City of LA

Announcing Meetup! Lior Abraham of Inter|Ana

PyDSLA Video: Carlos Guestrin, CEO of DATO

PyDSLA: Dato CEO, Carlos Guestrin, Presents Dato

Data Science @ Whisper

ASA DataFest 2015 at UCLA

What is DataFest? #

Yihui Xie presents HTML Widgets

Joe Cheng presents Shiny

PyDSLA - Blaze: Connecting analysts to big computation

DataScience LA Meetup Summary: Data Science @ DataPop

Announcing First LA Data Warehouse, Business Intelligence and Analytics Meetup!

DataVis with Plot.ly (@plotlygraphs) - Meetup Summary

Meetup: DataVis with Plotly on December 16th

JJ Allaire, the useR! 2014 interview

Hadley Wickham presents dplyr at useR! 2014

A Conversation with Joe Cheng at useR! 2014

Packrat presentation at useR! 2014

Dirk Eddelbuettel, the useR! 2014 Interview

Dirk Eddelbuettel on open source in finance

Interactive Visualizations from R using rCharts

Interview with Romain Francois at useR! 2014

Romain Francois

Martin Maechler Invited Talk at useR! 2014 - Good Practices in R Programming

Martin Maechler on Programming

Heather Turner, the useR! 2014 Interview

Shiny: R made interactive @ useR! 2014

Yihui Xie, the useR! 2014 Interview

Yihui Xie on the birth of knitR

Matt Dowle's data.table Talk from useR! 2014

David Smith, the useR! 2014 Interview

David Smith

R in Production - Panel Discussion - LA R meetup @ useR! 2014

R in Production - Opening Talk by Yasmin Lucero - LA R meetup @ useR! 2014

Announcing the DSLA Podcast!

Tal Galili

A Conversation with Tal Galili at useR! 2014

The Interview #

Winston Chang's "Interactive Graphics with ggvis" at useR! 2014

Max Kuhn on caret

A Conversation with Max Kuhn - The useR! 2014 Interview

The Interview #

John Chambers useR! 2014 Keynote

A Conversation with Hadley Wickham - the useR! 2014 interview

Hadley on R

Making Maps with a Punchline

Update: This event has ended. Slides are available here.
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Update: Video recording by Carl Mullins:
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What is DataFest?
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The Interview
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The Interview
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