Viewing 1 current event matching “data science” by Date.

Sort By: Date Event Name, Location , Default
Wednesday
Jul 26
Deep Learning Peer mentoring: Lessons 4 and 12
PDX Code Guild

This week we'll do Lesson 4 and Lesson 12. Pick which everyone you are comfortable with (or both) and work through the material and then come out and share your experiences and help others. For extra credit there are lots of variations you can implement as well as re-implement the code in pure TensorFlow and/or PyTorch.

Website

Viewing 56 past events matching “data science” by Date.

Sort By: Date Event Name, Location , Default
Wednesday
Apr 20, 2011
PDX Data Science: Setting the Agenda
Purest Café

Please join me and other data science professionals and enthusiasts in sharing your interests and setting the agenda for future meetings.

Items up for discussion include:

  • Future venues for socializing and presentations.
  • Presentation topics.
  • The state of the discipline (agreeing that there is one), and
  • Anything else involving data science!

I look forward to seeing you there.

Website
Wednesday
Feb 29, 2012
PDX Hadoop/Data Science Meeting
Cloudability

This will be the first meet up and open to general conversation about group focus/topics/etc. If you're interested, please jump in and help get the ball rolling.

If you're unable to join but are interested, please post your suggestions for discussion at the meeting on the Google Group page.

Website
Wednesday
Mar 28, 2012
Pdx Hadoop - Data Science Meeting
Cloudability

Last minute change of plans due to presenter being under the weather.

Tonight's meeting will be a casual hack & share meeting.

Here's the simple agenda: 1) Start off with group/topic related announcements (from anyone) and then let people suggest topics or things they'd like to hack on or discuss with other people in smaller groups. 2) Break up for mingling based on what you're interested in. 3) Repeat #2 above until Eric kicks us out.

Good times. See you all tonight!

Website
Wednesday
Apr 25, 2012
Pdx Hadoop - Data Science Meeting
Cloudability

Presentation this month by Dave Revell from Urban Airship.

OVERVIEW "The main topic will be how we use Hadoop and HBase at Urban Airship for collecting and analyzing data from mobile apps. Mobile app developers integrate our client library into their apps, which send analytic events to our backend. We'll talk about the problems involved in collecting and analyzing data at scale. We use HBase for storing raw events, for feeding the analysis processes, and serving the generated reports. We use Hadoop Mapreduce for ad-hoc analysis and moving large amounts of data; we'll talk about why it's unsuitable for the kind of near-real-time incremental analysis that we do.

For the data scientists, we'll talk about our data set and types of analyses we'd like to do. Our current reports are fairly basic, but we'd like to know what factors affect user engagement with mobile push notifications and whether we can make predictions about their effectiveness."

Questions and suggestions are definitely welcome. Post on Google Groups Page: https://groups.google.com/d/forum/pdx-h-d-s

Website
Wednesday
May 23, 2012
Pdx Hadoop - Data Science Meeting :: Discussing future of the group
Cloudability

1 Hour Meeting

No presenters tonight. Instead we'll be having open conversation as a group about Big Data topics. Also, we'll discuss the future of this Hadoop / Data Science group.

Agenda: 1) Open discussion about Big Data topics, news, events, etc. Bring your own list to add to the conversation. 2) Discussion about the future of the group. This is the third meeting and we've tried a variety of formats across interests. Where do we go from here? Or do we go anywhere from here?

Questions and suggestions are definitely welcome. Post on Google Groups Page: https://groups.google.com/d/forum/pdx-h-d-s

Website
Thursday
Jul 25, 2013
Enterprise Data Workflows with Cascading - Hadoop
Widmer Brothers Gasthaus

Cascading is an open source workflow abstraction atop Hadoop and other Big Data frameworks, with a 5+ year history of large-scale Enterprise deployments. For example, half of Twitter's total compute uses this API, along with other large use cases at eBay, Etsy, Airbnb, LinkedIn, Apple, Climate, Nokia, Factual, Telefonica, etc. Cascading leverages some aspects of functional programming so that developers can create large-scale data pipelines which are robust and easier to operationalize. There are popular DSLs in Scala (Scalding) and Clojure (Cascalog), plus Jython, JRuby, etc. Recent support also implements DSLs for ANSI SQL (Lingual) and PMML (Pattern).

This talk will describe the technology and some of the large use cases for Cascading, plus show sample apps in Scalding, Cascalog, and go into examples of ANSI SQL with Lingual and PMML with Pattern. We'll also cover material about Mesos, a cluster scheduler akin to Google's "Borg" which is used at scale by Twitter, Airbnb, Box, etc.

Doors are open at 6:15, Talk starts at 7pm. Light snacks, beverages and brews will be available and will have a social hour following the talk.

Please RSVP via Eventbrite if you plan to attend: http://pdx-hadoop.eventbrite.com/

Talk will be led by Paco Nathan.

Paco Nathan is Chief Scientist at Mesosphere, a committer on Cascading, and an O'Reilly author for "Enterprise Data Workflows with Cascading". He is a recognized expert in Hadoop, R, cloud computing, distributed systems, machine learning, and predictive analytics, with 25+ years experience in the tech industry ranging from Bell Labs to early-stage start-ups. For the past 10+ years, Paco has led innovative Data teams building large-scale apps.

http://liber118.com/pxn/ @pacoid

Organized/Sponsored By: Aaron Betik, NIKE, Inc Global Technology Director, Consumer and Digital Analytics & BI

Website
Tuesday
Nov 19, 2013
Portland Data Science Group
ThinkShout

This is the inaugural meeting of The Portland Data Science Group. Portia Burton will give a talk on what is 'data science', and highlight some cool tools and resources to help you get started with data mining, and visualization. The rest of the time will be spent working on projects.

Website
Sunday
Nov 24, 2013
Twitter Hackathon
Pints Brewing

On Tuesday we learned about the Twitter REST and Streaming API, why not use that knowledge to build an application? We will spend the afternoon making kick ass apps! Missed the Twitter API presentation? No worries, read through the twitter documentation, and browse through the Mining the Social Web repo for more background. All questions, languages, and levels are welcomed!

Website
Wednesday
Jan 29, 2014
Portland Data Science Group Presentation Night: "Commonality in Social Networks"
Little Bird Technologies

Date has changed from Tuesday, Jan. 28, 2014 to Wednesday

Devin Gaffney will give a presentation on homophily, and demonstrate inferences that can be gleaned from examining social networks. After the talk we will head over to Pints for drinks and discussion.

Background Information:

https://github.com/DGaffney/dgaff_sxsw_presentation

http://www.uvm.edu/~pdodds/files/papers/others/2001/mcpherson2001a.pdf

Website
Wednesday
Apr 9, 2014
Hack Oregon: Post-Hackathon Beerpatioathon
Rontoms

Have a great time at the Hackathon and want to keep hanging out?

Missed the Hackathon and want to know more about our visualization projects?

Come to Rom Toms Wednesday and we'll have a few beers, unpack our progress from Saturday, and brainstorm next steps.

Looks like it will be a beautiful warm evening on the patio.

See you soon,

Catherine

Website
Friday
Apr 11, 2014
Hack Oregon "Behind the Curtain" Build Session
Instrument

Hack Oregon's "Behind the Curtain" campaign finance visualization is continuing to build momentum, and we're inviting anyone who is curious to come collaborate with us.

This week's build session will focus on implementing visualizations for a local candidate dashboard.

We've also fleshed out a wire frame to give more agency to front-end the front-end team.

FYI: the dataset is deep and nuanced super compelling-- some people find it a little addictive. If it's your first time, think about joining us Wednesday @RonToms for our #Beerpatioathon to get a head start on intro conversation.

Look forward to seeing you,

RSVP @hackoregon

Website
Thursday
May 22, 2014
Hack Oregon: Design Demo and Community Summit
Instrument

Over the past few months we've shared many beers and pizzas while learning about campaign finance as it relates to data science and user design.

Our Design Team has been hard at work transforming all of our R&D from the Behind the Curtain Project into our final production model.

Get ready for a Blitzkreig of Hackathons as we get ever closer to unveiling a new way to understand influence and elections. (You know, with like, actual facts?)

Moving forward, we're assembling our best teams for the final build stage.

Come to our Hack Oregon Community Summit, Thursday May 22 @Instrument 6-8pm where you can meet the team leaders, learn the build plan, and join a team!

We'll also be demo-ing our front end design and giving a short talk on some of the insights that drove our strategy--- to include revelations about how normal people feel about interacting with two mysterious subjects like politics and data.

If you are thinking about joining a team, here's what we are looking for:

Data Science Team (seeking 4 members)

Spatial Data Team (seeking 5 members)

Data Viz Team (seeking 3 members)

Super Activist Team (seeking 5 members non-technical OK)

RSVP for beer and pizza count: hackoregonsummit.eventbrite.come

Website
Thursday
Jun 19, 2014
Soren Macbeth: Data Processing and Machine Learning with Clojure
Puppet

Soren Macbeth, chief data scientist at yieldbot, will discuss machine learning techniques using cascalog, storm, and spark.

The session will begin with one or more lightning talks at 6:45pm followed by Soren's presentation at 7:00pm.

Website
Wednesday
Oct 15, 2014
Data Science Workshops
SnapFlow

This is the start of a new data science meetup. The goal is to help teach each other data science magic on a monthly basis in the form of workshops where participants build the presented material along with the presenter. This first session will be on decision trees. We'll cover the theory behind decision trees and use the IPython notebook and the sklearn library for a small case study.

Come, network, learn something new, teach someone else something new, and let's start this thing off right.

Please RSVP on http://www.meetup.com/Portland-Data-Science-Workshops/events/207427242

Website
Wednesday
Apr 15, 2015
Ensemble Learning Workshop
New Relic

Join us for a workshop on using multiple classifier to make one better classifier. We'll start with an overview of the common types of ensemble learning and apply one to decision trees to create random forests. Please be familiar with the content in this post on decision trees.

RSVP here.

Bring your laptop. We'll bring the pizza.

Website
Monday
May 4, 2015
Intro to Cassandra
eBay Community Lounge

For this meetup, we are going to be doing a joint meetup with the DataStax Cassandra Portland Users group.

Archaic database technologies just don't scale under the always on, distributed demands ​of modern IOT, mobile and web applications. We'll start this Intro to Cassandra by discussing how its approach is different and why so many awesome companies have migrated from the cold clutches of the relational world into the warm embrace of peer to peer architecture. After this high-level opening discussion, we'll briefly unpack the following:

  • Cassandra's internal architecture and distribution model
  • Cassandra's Data Model
  • Reads and Writes ​​ You'll go home with enough Cassandra basics to get your feet wet and some resources to get your hands dirty.
Website
Thursday
Jul 2, 2015
Kaggle Workshop
Website
Wednesday
Jul 8, 2015
Partially Derivative Happy Hour!
White Owl Social Club

Hey gang! Chris and Jonathon are in Portland this week. Come hang out with other data geeks for a few drinks!

Website
Thursday
Jul 16, 2015
Kaggle Workshop
Website
Saturday
Jul 18, 2015
John Hopkins Data Specialization @ Coursera: R Programming unit
Website
Saturday
Jul 25, 2015
John Hopkins Data Specialization @ Coursera: R Programming unit
Website
Thursday
Jul 30, 2015
Kaggle Workshop
Website
Monday
Aug 17, 2015
Scalable Machine Learning in R with H2O
Simple

Abstract:

The discussion will begin with a brief overview of the current machine learning landscape in R. After the introduction, we will discuss H2O, a scalable open source machine learning library. H2O has APIs in R, Python, Scala and Java, and the focus of this talk will be the h2o and h2oEnsemble R packages. All of H2O's algorithm implementations are distributed, which allows the software to scale to big data. H2O can be used to speed up machine learning problems on your laptop (as a local multicore cluster), or it can be used in a multi-node cluster setting (for example, on Amazon EC2). H2O currently features distributed implementations of GLM, GBM, Random Forest and Deep Neural Nets. H2O.ai, the company behind H2O, is based in Mountain View, CA and has a scientific advisory council comprised of very well known contributors to machine learning community: Trevor Hastie, Rob Tibshirani and Stephen Boyd, all from Stanford University.

Speaker Bio:

Erin is a Statistician and Machine Learning Scientist at H2O.ai, and the author of several R packages. Erin received her Ph.D. in Biostatistics with a Designated Emphasis in Computational Science and Engineering from University of California, Berkeley. Her research focuses on ensemble machine learning, learning from imbalanced binary-outcome data, influence curve based variance estimation and statistical computing. http://www.stat.berkeley.edu/~ledell http://www.twitter.com/ledell

Website
Wednesday
Aug 19, 2015
[Double R Workshop] Exploratory Anlysis with R; Custom Functions in R
eBay Community Lounge

As a joint meetup with the R User Group, we'll be hosting a double-session. The first hour will be Exploratory Analysis in R for beginners. The second hour will be an intermediate-level session on defining and using Custom Functions in R, with a focus on time series data. Intermediates are encouraged to come to the first hour to help the beginners.

Exploratory Data Analysis with R will be led by Joshua Galbraith, Chief Data Scientist at Network Redux. This workshop is target at the beginner looking to get started using R for their data exploration.

Custom Function in R will be led by Hoyt Emerson, R programmer and Digital Marketer. This workshop is targeted at the intermediate who is looking to optimize their workflows and do what's not 'just built-in'.

Schedule:

  • Doors Open 6:15.
  • Meetup starts with getting your environment set up at 6:30.
  • Exploratory Data Analysis starts at 6:45 and will last until around 7:45.
  • Custom Fucntion starts at 8 and will last until around 9.
Website
Wednesday
Sep 16, 2015
R meetup: Lightning Talks
Simple

Topic: Series of short lightning talks. Each one will be 5-10 minutes (including questions).

Speakers: None yet. Get in touch in the comments for this meetup, contact me via email ([email protected]), use the group mailing list, or contact me via Twitter @pdxrlang I'll fill in names and titles as we get them.

We will have pizza and beers. Doors open at 6:00 pm - talk starts 6:30 pm

Hashtag for R meetups: #pdxrlang

Website
Tuesday
Oct 27, 2015
Hacking Oregon's Hidden Political Connections
Simple

Hobson Lane will be doing a case study on recent work done on Hack Oregon's Behind the Curtain project.

He'll walk through several things:

  • Using python sets and pandas to find relationships between database tables, between politicians and the Ashley Madison dump, and between political action committees that you'd never imagine would support each other.

  • Using sklearn and TFIDF to compare committee descriptions.

  • Using d3 force-directed graphs to do interactive visualization and clustering on that network of connections.

Another joint meetup with the Portland Data Science Group.

Website
Thursday
Jan 7, 2016
Cambia Tech Open House
Please RSVP at (cambia.eventbrite.com) to hear about venue logistics

Join Cambia on January 7th as we host our open house discussing the future of technology in healthcare.

Tisson Mathew, Vice President, Data & Technology Solutions who recently joined Cambia from Amazon.com will be discussing how Cambia uses Micro Services, AWS Cloud, DevOps, Machine Learning and Data Science to build & operate innovative technology solutions to deliver seamless, frictionless healthcare experience to consumers.

Pizza and beverages will be served so come hungry!

  • If you are a software professional we would love for you to join us. We have multiple positions in software development, software development management, front-end development and other tech positions available (view them here). Recruiters will be available to answer any of your questions.
Website
Thursday
Feb 18, 2016
Application of analytics for optimizing wireless plans for IoT devices
Mozilla

Satish Doguparthy will talk about the application of analytics using R for optimizing wireless plans for IoT devices.

Doors open at 6:00 pm - talk starts 6:30 pm - We need to be out of the venue before 8 pm

NOTE 1: We have a new venue. We now meet at Mozilla's offices at 1120 NW Couch St #320 - still downtown, not far from our previous location.

We'll go to a local watering hole (to be decided) after the talk if there's enough interest.

Hashtag for PDX R meetups: #pdxrlang & the Twitter account to follow/tweet at is @pdxrlang

Website
Thursday
Mar 24, 2016
pdxrlang meetup: R at Microsoft and R in Visual Studio
Mozilla

We'll have two talks from Microsoft/Revolution Analytics:

  • Joseph Rickert on R at Microsoft
  • John Lam on A Lap Around R Tools for Visual Studio

Doors open ~6 pm, talks start at 6:30 pm

Website
Tuesday
Apr 5, 2016
pdxrlang meetup: NLP meets Politics-Experiment­s w/ Word-Vectors and 2016 Campaign Debate Rhetoric
Mozilla

Speaker: Winston Saunders

Abstract: Word vectors, derived by deep learning algorithms applied to billions of words of text, provide powerful semantic models of language. Code in R, demonstrating [queen] + [man] - [woman] ~ [King] to about 90% accuracy will be reviewed. Building first on exploratory "bag of words" analysis of Presidential debate texts, we'll explore, using pre-computed GloVe vectors (Pennington et al http://nlp.stanford.edu/projects/glove/), relationships like [sanders] + [trump] - [clinton] ~ [cruz] and how candidate positions align to rhetorical sentiment like [government] + [people] - [tax]. This analysis is work in progress. We'll also test empirical limits (aka failed experiments). Active feedback is both sought and welcome.

Details:

Doors open ~6 pm, talk starts at 6:30 pm

Doors are open at bottom, take elevator to 3rd floor, door should be open for suite 320

We'll visit a local watering hole afterwards.

Website
Tuesday
May 10, 2016
pdxrlang meetup: Meet, Greet, Hack
WeWork Custom House

We have monthly meetups with someone(s) giving a talk(s) on some usually technical topic involving R. We also have a great set of meetings run by Audrey Julian going over Coursera R course material.

We want to have another set of meetings where pdxrlang meetup members can meet each other, chat, hack on R projects, learn from one another, etc. Basically anything goes.

This is our first meetup of this type. Everyone is welcome!

Time: 615pm - 8pm

Doors open at 6 - DON'T SHOW UP BEFORE 6 - we'll start at 615.

Website
Wednesday
Jun 22, 2016
pdxrlang meetup: Meet, Greet, Hack
WeWork US Custom House

Aggregate meetup No. 3! Everyone is welcome!

Agenda:

• brief intro/R project or problem: We'll go around the room, each person talk about an R project they've been working on, or a data/data-science problem, or something they want to learn, etc.

• After going around the room, anyone can share some code they've been working on and want help with / want feedback on. Make sure to have this ready before the meeting. Discuss here https://github.com/pdxrlang/aggregate/issues/8

• Before arriving, use the pdxrlang/aggregate GitHub repository to discuss ideas for things to work on at aggregate -https://github.com/pdxrlang/aggregate/issues - One idea was proposed

• Do bring your computer (if you have one) in case you want to work on something.

Time: 630pm - 8pm

Doors open after 6 - DON'T SHOW UP BEFORE 6 - we'll start between 615 and 630.

Enter on the 8th Ave. entrance where there's gates - The gates may be locked, but a security person will let you in. If you have any trouble message me in the meetup app, or on Twitter at @pdxrlang or @sckottie

Website
Thursday
Aug 4, 2016
The Journey from ER Modeler to Data Scientist + The Basics of Text Analytics
200 SW Market Street

We will be talking about what data science is and isn’t, with particular focus on the skills that a data scientist is expected to bring to bear on a problem. We will discuss the educational and skill expectations of a data scientist and how those relate to the skills we’ve developed as ER Modelers.

Going by job descriptions, data science can easily read like “jack of all trades, and master of them all too”. How do we break that down into something more reasonably achievable?

  • What is data science and what is a data scientist? What do they do?
  • Do ER Modelers make good Data Scientists?
  • Are the skill sets complementary?

And then we’ll look at some of the basics of text analytics, or extracting information from unstructured text. This won’t be nearly enough detail to make anybody a practitioner, but we will see several of the basic techniques at work and develop a functional mental model of some of the techniques. By the time we’re done, you’ll have been exposed to concepts like:

  • Term-Document Matrix (TDM)
  • Tokenizing
  • Stopword removal (Stopping)
  • Stemming
  • And as a bonus – we’ll see some Python code for extracting noun phrases

Bring your questions around these topics and let’s get into them.

Our Speaker

Asoka Diggs is a Data Scientist with Intel Corp. in Hillsboro, OR. He has about 15 years of experience in a variety of data management disciplines, including database administration, ER modeling, ETL development, and data architecture. He has recently transitioned to analysis of data by completing the MS Predictive Analytics degree from Northwestern University. It turns out that there IS something even more fun than ER modeling, and he now spends most of his work time practicing his analytic modeling skills, and teaching others how to participate and contribute to predictive analytic projects.

Schedule

8:30 - 9:00 am - Sign In
9:00 - 10:15 am - Presentation
10:15 - 10:30 am - Break, Chapter Announcements
10:30 - 11:30 am - Presentation continued

Cost

Free for Members! See our corporate members at damapdx.org
$15 for Non-Members and $5 for Students with valid student ID
Covers speaker costs and refreshments

Upcoming DAMA PDX Metro Events

  • September: DAMA Day 2016
  • October: "Influencing Business Partners" with May Loomis
  • November: "The T-Shaped Data Professional – Achieving Data Management Goals by Other Means" with Alec Sharp (Clariteq Systems Consulting)
  • January 2017: "Advanced Data Visualization" with Amit P. Manghani

About DAMA Portland

The Portland Metro Chapter of the Data Administration Management Association has been serving the Portland data community since 1984. We are a not-for-profit, vendor independent, professional association dedicated to advancing the concepts and practices of enterprise information and data resource management.

The DAMA Portland Chapter is dedicated to delivering thought provoking data-centric presentations that will make you more successful in your job. Our primary purpose is to promote the understanding, development and practice of managing data, information and knowledge resources as key enterprise assets.

Website
Monday
Aug 8, 2016
pdxrlang meetup: David Robinson, broom - tidy model outputs
WeWork Custom House

Sign up at: https://members.wework.com/events/david-robinson-broom-tidy-model-outputs-19084 - you must sign up at the link to be able to attend.

Speaker: David Robinson (http://varianceexplained.org/) - Data Scientist at StackOverflow

David will talk about broom (https://github.com/dgrtwo/broom), his R package for tidying model outputs.

Website
Monday
Sep 19, 2016
Quantified Self Show&Tell Talks (w/ QS co-founder Gary Wolf)
Puppet

Please join us for a night of conversation on self tracking and monitoring where you share ideas, tools and experiments with the Portland Quantified Self community.

This is a special meeting for we will be joined by Gary Wolf, the co-founder of Quantified Self and Sara Riggare, a QS community member from Sweden and person with Parkinson's.

This event is occurring just before the World Parkinson Congress, which we are lucky to be having in Portland this year. To kick it off, Sara is having her own event on Sunday , 9/18) focused specifically on using QS to manage Parkinson's.

If you are self tracking in any way – life logging, biometrics, athletic performance, mood, sleep, medical symptoms, happiness, energy, etc. – come and share your methods, results and insight.

Here's our agenda:

•Informal Social Time - Starting at 6pm
Come early to socialize with other QSers and share what hardware, apps, and other technologies you are currently finding useful.

•Intro and Announcements - 6:15 sharp!
We'll have a round of introductions, and Gary Wolf will kick off the evening.

•Presentations - 6:30 to 7:30

    • Lillian Karabaic - My Quantified Self Zine

    • Sara Riggare - Using Data to Manage Parkinson's

    • Hobson Lane - NLP Sentiment Analysis of My Daily Journal

    • Steven Jonas - Learning to Like New Music With Spaced Repetition

•Post-talks Social Time - 7:30 to 8 pm
After some amazing presentations, we will have some time to converse with those around us.

*Where our talks come from: Our talks come from you! Do you have a personal self-tracking story to share? Please let us know in your RSVP. You can let the three prime questions guide your presentation: What did you do? How did you do it? What did you learn?

Here are some examples from previous Quantified Self events: http://vimeo.com/groups/quantifiedself/videos/27380858 http://vimeo.com/28734230

Our thanks to Kyoko and Kaitlynn at Puppet and for lending us this space.

Website
Monday
Oct 10, 2016
pdxrlang meetup: Hadley Wickham - Data science with R
Reed College, Eliot Hall

To do data science you need five sets of verbs: import, tidy, transform, visualise, and model. Importantly, you also need a way to connect these tools together so that your analysis flows from one step to another, without you beating your head against the wall. In this talk, I discuss the idea of the pipe as it is implemented in R with the magrittr package. You’ll learn why the pipe makes your code easier to read, and see how it provides a unifying interface throughout your complete workflow.

Come along to learn about why I think pipelines are awesome and see how pipelines + tidyr, dplyr, ggplot2, and purrr can make your data analyses fast, fluent and fun. I’m a passionate believer that code should be an artefact of clear communication, so even if you’ve never used R before, you’ll be able to follow this talk.

Website
pdxrlang meetup: Hadley Wickham - Data science with R
Reed College, Eliot Hall

To do data science you need five sets of verbs: import, tidy, transform, visualise, and model. Importantly, you also need a way to connect these tools together so that your analysis flows from one step to another, without you beating your head against the wall. In this talk, I discuss the idea of the pipe as it is implemented in R with the magrittr package. You’ll learn why the pipe makes your code easier to read, and see how it provides a unifying interface throughout your complete workflow.

Come along to learn about why I think pipelines are awesome and see how pipelines + tidyr, dplyr, ggplot2, and purrr can make your data analyses fast, fluent and fun. I’m a passionate believer that code should be an artefact of clear communication, so even if you’ve never used R before, you’ll be able to follow this talk.

Website
Tuesday
Oct 25, 2016
pdxrlang meetup: Tim Kaye: Fun With Data Streams in R
Lytics

Speaker: Tim Kaye

Title: Fun with data streams in R

Abstract: Often in practice, not all of your data will have been generated or collected yet, so you need to be able to process that data and update your models on-the-fly. This talk will provide a brief exploration of streaming algorithms and how they can be used in R. The primary applications will be data mining for data streams and online inference using non-parametric Bayesian models.

We may visit a local watering hole afterwards, or I may bring beverages.

Website
Monday
Feb 6
Work through Fast.ai's 7 week course, Practical Deep Learning ForCoders, Part 1 - Intros and Lesson 1
Laughing Planet

Let's start off the group by working through Fast.ai's 7 week course, Practical Deep Learning ForCoders, Part 1

The describe the course as:

Welcome to fast.ai's 7 week course, Practical Deep Learning For Coders, Part 1, taught by Jeremy Howard (Kaggle's #1 competitor 2 years running, and founder of Enlitic). Learn how to build state of the art models without needing graduate-level math—but also without dumbing anything down. Oh and one other thing... it's totally free!

We'll meet, do introductions and discuss Lesson 1: Image recognition. Please work through what you can from the lesson and come share your findings.

Website
Thursday
Feb 9
PDX Data Visualization - Monthly Talk Night: Lightning Edition!
Periscopic

For this night we'll hold lightning talks, in which speakers have five minutes to share projects, ideas, or principles of data visualization! Here's how it'll go:

Each speaker gets five minutes at most

We'll have 4 to 6 speakers

We'll probably do Q&A at the end rather than between talks, to stay on schedule

Here are some tips on giving a great lightning talk. This is a great opportunity for both seasoned and new speakers alike, whether to hone an idea or as an initial test of an idea you'd like to explore further.

If you plan on speaking

Please use this form to pitch it. If I get more than 8 pitches, I may ask people to vote or ask some people to do theirs at a later time!

* Submit slides by 5pm the night before, Wednesday 2/8!

Schedule

5:30 - 6 | Networking, food & drink

6 - 7ish | Talks

7ish on | Feedback on talks, more networking

Website
Friday
Apr 14
Mozilla Science's mini Working Open Workshop
through Downtown Portland and OHSU South Waterfront

miniWOW PDX 2017

Do you have an idea for a project that will help the scientific community or impact the way scientists work? It could be software, an advocacy project, an effort to bring science to the people, or something else entirely. Getting a project off the ground is daunting, and most of us aren’t trained in project management and community building skills.

At miniWOW PDX, Mozilla Science Lab will help you take your project from idea to reality and give you technical, project management, and community building skills to kickstart your work.

We have 10 awesome science/tech community building and tool development projects registered from OHSU, PSU, OSU, and UCSF! We can accommodate about 5 more projects. Multiple people can bring a project as a team, just get us the headcount so we can get enough food and get everyone access to the venues. Registrations accepted through Wednesday 4/12/17. Contact [email protected] with questions. To register, please fill out this form.

See here for more details!

Website
Saturday
Jun 3
CascadiaRConf
OHSU Collaborative Life Sciences Building

Cascadia R Conference is an R conference serving the Cascadia-ish region (Oregon/Washington/BC).

Check out https://cascadiarconf.com for details - that should be coming out soon.

Website
CascadiaRConf
OHSU Collaborative Life Sciences Building

Cascadia R Conference is an R conference serving the Cascadia-ish region (Oregon/Washington/BC).

This is the first time this event has happened!

Talk submissions are now closed but tickets are on sale: https://cascadiarconf.com/tickets/

See the website for more information.

Website
Monday
Jun 12
Monday Python Flying Circus (Programmer Peer Mentoring Night)
PDX Code Guild

We normally have 12- 24 attendees - some people register on Meetup, others show up every week or see the event on Calagator. All are welcome.

Bring your laptop. Learn and/or share your existing knowledge with others. This group focuses on Python, Django, JavaScript, jQuery, SQL, CSS and HTML. Other languages are welcome.

This week we will do introductions at 6:20 then pair up mentors and learners and/or work on projects.

Set aside one night a week to become a better developer, pick up new skills, and get help with your projects and learning. We'll have mentors on hand and a community of other learners to meet and work with.

This event is beginner friendly, we can help get you started with programming, support your online learning, or just talk about where you are at and what comes next.

Free parking! Save this number in case you need help finding us: (541) 602-6215 We are at 2828 SW Corbett Ave #208, inside the Portland State Business Accelerator, and near the International School.

Website
Monday
Jun 19
Monday Python Flying Circus (Programmer Peer Mentoring Night)
PDX Code Guild

We normally have 12- 24 attendees - some people register on Meetup, others show up every week or see the event on Calagator. All are welcome.

Bring your laptop. Learn and/or share your existing knowledge with others. This group focuses on Python, Django, JavaScript, jQuery, SQL, CSS and HTML. Other languages are welcome.

This week we will do introductions at 6:20 then pair up mentors and learners and/or work on projects.

Set aside one night a week to become a better developer, pick up new skills, and get help with your projects and learning. We'll have mentors on hand and a community of other learners to meet and work with.

This event is beginner friendly, we can help get you started with programming, support your online learning, or just talk about where you are at and what comes next.

Free parking! Save this number in case you need help finding us: (541) 602-6215 We are at 2828 SW Corbett Ave #208, inside the Portland State Business Accelerator, and near the International School.

Website
Saturday
Jun 24
Kaggle Session
Hillsboro Public Library

Do you want to start using Kaggle? Why not learn as a group? I'll share the basics and an example how to start the competition "Titanic - Machine Learning from Disaster".

The second half of our session, we'll experiment with our open idea session. The winner will be awarded Innovator of the week. The winner has the highest potential to be added to our next session.

Here is the link to my transcript and video links. Enjoy! https://portlanddatascience.wixsite.com/home/single-post/2017/06/19/Kaggle-Session

Website
Monday
Jun 26
Monday Python Flying Circus (Programmer Peer Mentoring Night)
PDX Code Guild

We normally have 12- 24 attendees - some people register on Meetup, others show up every week or see the event on Calagator. All are welcome.

Bring your laptop. Learn and/or share your existing knowledge with others. This group focuses on Python, Django, JavaScript, jQuery, SQL, CSS and HTML. Other languages are welcome.

This week we will do introductions at 6:20 then pair up mentors and learners and/or work on projects.

Set aside one night a week to become a better developer, pick up new skills, and get help with your projects and learning. We'll have mentors on hand and a community of other learners to meet and work with.

This event is beginner friendly, we can help get you started with programming, support your online learning, or just talk about where you are at and what comes next.

Free parking! Save this number in case you need help finding us: (541) 602-6215 We are at 2828 SW Corbett Ave #208, inside the Portland State Business Accelerator, and near the International School.

Website
Wednesday
Jun 28
Deep Learning Peer mentoring: Lessons 2 and 10
PDX Code Guild

This week we'll do Lesson 2 and Lesson 10. Pick which everyone you are comfortable with (or both) and work through the material and then come out and share your experiences and help others. For extra credit there are lots of variations you can implement as well as re-implement the code in pure TensorFlow and/or PyTorch.

Website
Saturday
Jul 1
WiPy Python Hardware Device Demo
Hillsboro Public Library

Hello from Garrett Broughton.

Michael Wild is sharing his WiPy Python hardware device this week. Find out more about it here: https://docs.pycom.io/wipy/wipy/general.html#upgrading-the-firmware-over-the-air

If time permits, we'll also cover the beginning of our group Kaggle competition.

Website
Saturday
Jul 8
Machine Learning Titanic
Hillsboro Public Library

Do you want to learn machine learning? The best place to start is creating a predictive model for the Titanic.

Join us as a team as we work on it together. We'll kick it off with the basics reviewing the dataset, using Python and Juypter.

We'll talk about different models we can use. We'll spend a few sessions together to prepare us to submit on Kaggle.

Join us for the fun!

Website
Monday
Jul 10
Monday Python Flying Circus (Programmer Peer Mentoring Night)
PDX Code Guild

We normally have 12- 24 attendees - some people register on Meetup, others show up every week or see the event on Calagator. All are welcome.

Bring your laptop. Learn and/or share your existing knowledge with others. This group focuses on Python, Django, JavaScript, jQuery, SQL, CSS and HTML. Other languages are welcome.

This week we will do introductions at 6:20 then pair up mentors and learners and/or work on projects.

Set aside one night a week to become a better developer, pick up new skills, and get help with your projects and learning. We'll have mentors on hand and a community of other learners to meet and work with.

This event is beginner friendly, we can help get you started with programming, support your online learning, or just talk about where you are at and what comes next.

Free parking! Save this number in case you need help finding us: (541) 602-6215 We are at 2828 SW Corbett Ave #208, inside the Portland State Business Accelerator, and near the International School.

Website
Wednesday
Jul 12
Deep Learning Peer mentoring: Lessons 3 and 11
PDX Code Guild

This week we'll do Lesson 3 and Lesson 11. Pick which everyone you are comfortable with (or both) and work through the material and then come out and share your experiences and help others. For extra credit there are lots of variations you can implement as well as re-implement the code in pure TensorFlow and/or PyTorch.

Website
Saturday
Jul 15
Python Basics and Kaggle Titanic Part Duex
Hillsboro Public Library

We had many volunteers to talk about Python. We'll share the basics, Logistic Regression, and how to solve the Kaggle Titanic competition.

We'll have a few lightning talks then an open session for new topics.

You are welcome to join us and share your knowledge!

Website
Monday
Jul 17
Monday Python Flying Circus (Programmer Peer Mentoring Night)
PDX Code Guild

We normally have 12- 24 attendees - some people register on Meetup, others show up every week or see the event on Calagator. All are welcome.

Bring your laptop. Learn and/or share your existing knowledge with others. This group focuses on Python, Django, JavaScript, jQuery, SQL, CSS and HTML. Other languages are welcome.

This week we will do introductions at 6:20 then pair up mentors and learners and/or work on projects.

Set aside one night a week to become a better developer, pick up new skills, and get help with your projects and learning. We'll have mentors on hand and a community of other learners to meet and work with.

This event is beginner friendly, we can help get you started with programming, support your online learning, or just talk about where you are at and what comes next.

Free parking! Save this number in case you need help finding us: (541) 602-6215 We are at 2828 SW Corbett Ave #208, inside the Portland State Business Accelerator, and near the International School.

Website
Thursday
Jul 20
Data Science: Predictive Analytics @DAMAPDX
Standard Insurance Center Auditorium

Most of what data scientists do is nothing new, and much of what’s new is really a throwback to what we used to do 20 years ago. So why data science so popular now?

In this talk, Dean will describe what differentiates data science from related fields like Business Intelligence, Predictive Analytics, and Statistics, and will illustrate the use of data science from case studies in customer analytics and fraud detection.

Please register so we have an accurate count for refreshments at:: https://www.eventbrite.com/e/damapdx-rsvp-data-science-predictive-analytics-tickets-35435217690

Speaker

Dean Abbott is Co-Founder and Chief Data Scientist of SmarterHQ and is based in San Diego, California. Mr. Abbott is an internationally recognized data mining and predictive analytics expert with over two decades of experience applying advanced algorithms to real-world problems, including customer analytics, fraud detection, risk modeling, text mining, personality assessment, and more. He was named as a Mar Tech Superstar by Adweek, one of 26 trailblazers revolutionizing marketing technology. Mr. Abbott is the author of Applied Predictive Analytics (Wiley, 2014) and co-author of IBM SPSS Modeler Cookbook (Packt Publishing, 2013) and is a highly-regarded and popular keynote speaker at Advanced Analytics and Data Science conferences and meetups, is on the Advisory Boards for the UC/Irvine Predictive Analytics and the UCSD Data Science Certificate programs.

About DAMA Portland

The Portland Metro Chapter of the Data Administration Management Association has been serving the Portland data community since 1984. We are a not-for-profit, vendor independent, professional association dedicated to advancing the concepts and practices of enterprise information and data resource management.

Our primary purpose is to promote the understanding, development and practice of managing data, information and knowledge resources as key enterprise assets.

The DAMA Portland Chapter is dedicated to delivering thought provoking data-centric presentations that will make you more successful in your job. Please join me, the rest of the DAMA board, and other fellow lovers of data at this regular chapter meeting in downtown Portland.

Thanks for your support of local Data Education, we look forward to seeing you there!

Website
Saturday
Jul 22
Open Ideas in Data Science
Hillsboro Public Library

Do you want to learn Python Pandas and Machine Learning? Check out our group. We're just getting started with the Titanic competition. Find out you can solve a real world Kaggle problem with Python and Machine Learning.

At the end of the session, we'll brainstorm a new hot topic for the following week presentation. The winning idea will get the innovator of the week.

Join the fun!

Website