Machine Learning + NuoDB

  • October 9, 2012 · 6:30 PM

This is going to be the one of the most intense machine learning big data events ever created in New York City.  We have an all star line up of speakers.

Food and Refreshments will be available.  Go up to the 8th Floor.

 

Speakers

----------------------------

John Myles White, Co-Author of Machine Learning for Hackers

----------------------------

Talk Title: Machine Learning for Hackers

Abstract: In this talk, I'll review the basic ideas of machine learning and show how simple methods developed by researchers can be treated as black-box function calls by using several existing languages like R and Python. We'll work through the intuitions behind linear regression, logistic regression and k-nearest neighbors and show how they might be applied in common situations like spam classification.

About: John Myles White is one of the two authors of the book "Machine Learning for Hackers", published by O'Reilly. Currently, he is a Ph.D. student in the Princeton Psychology Department, where he studies decision-making. John is also actively involved in the statistical programming community and has written several popular R packages, including ProjectTemplate and log4r. His new primary interest is preparing the Julia language for use in statistical computing.

Website: johnmyleswhite.com Twitter: @johnmyleswhite

----------------------------

George Davis, Leading Data Scientist at Knewton

----------------------------

Talk Title:  Knewton Adaptive Learning Platform

Abstract: Knewton is a technology company that uses data to continuously personalize online learning content for individual students. Knewton analyzes data about the performance of each student and similar students on the platform, as well as the relevance of the educational content, in order to serve up the best activity for each student at a particular moment in time. The platform is continuously adaptive, meaning it responds in real time to each student’s activity on the system and adjusts to provide the most relevant content. The platform refines its recommendations through network effects that harness the power of all the data collected, for all students, to optimize learning for each individual student.

About: George Davis is data science tech lead at Knewton. His team develops scalable statistical models of the learning process in order to inform recommendations such as supplementary content or study groups. George holds a PhD from Carnegie Mellon University’s School of Computer Science, where he researched network analysis, game theory, and probabilistic graphical models as applied to problems in shipping, security, and economic networks.

NuoDB Speakers

----------------------------

Wiqar Chaudry, Director of Product Management NuoDB

----------------------------

Talk Title:  Machine Learning with NuoDB

Abstract: Cloud computing, faster machines, and the proliferation of mathematics and programming have made machine learning accessible to almost anyone. However, once all the analytics and the number crunching are done, you still need a place to store, access, and report on your results. NuoDB is an elastically scalable SQL database that can take full advantage of the cloud and help you organize your results not just for machines but for the people behind the machines as well.

About:  Wiqar Chaudry, Director of Product Management, is an IT professional with over a decade of experience in database systems and web technologies. He has been responsible for designing large scale data warehouses for the fortune 500 and has played key roles in several data centric start-ups as a solutions architect, sales engineer, and product manager. Academically Wiqar holds a BBA in Finance from Temple University, and an MS in Computer Information systems from Boston University. In his spare time Wiqar writes a blog on collaborative economics. You can follow him on twitter @WiqarC.

 

Sponsors

----------------------------

Knewton

----------------------------

Knewton is a technology company that uses data to continuously personalize online learning content for individual students. Knewton analyzes data about the performance of each student and similar students on the platform, as well as the relevance of the educational content, in order to serve up the best activity for each student at a particular moment in time.

http://www.knewton.com/

 


----------------------------

NUODB

----------------------------

NuoDB is a NewSQL cloud database.  It looks and behaves like a traditional SQL database from the outside but under the covers it's a revolutionary database solution. It is a new class of database for a new class of datacenter.

Created by an experienced team of software experts with the support of avisionary investment team, NuoDB is redefining the world of transactional databases.

http://www.nuodb.com/

 

 

 

 

 

 

----------------------------

O'Reilly Media

----------------------------

O'Reilly Media will provide book giveaways at the event.  We ask that if you receive a book from O'Reilly Media at our event you write a review on the book.

Please send a copy of your book review to Marsee or Jon ([masked] ). Include "Book Review" and the title of the book in your subject line of your email along with the name of our group New York Software Engineers (NYSE).

You can also send reviews to:

Marsee Henon and Jon Johns
O'Reilly Media
1005 Gravenstein Highway North
Sebastopol, CA 95472

 

----------------------------

Techno Solutions Group

----------------------------

Techno Solutions Group is a New York City based IT Staffing company that is focuses on the needs of clients ranging in size from startups to Fortune 500 companies.

The Founder of Techno Solutions Group is Victoria Ricciuti with an educational background in labor relations and experience at Gartner Group, Software Spectrum, Borden, Inc. and Quaker Oats managing human resources.

Techno Solutions Group, Inc. sponsors NYSE with financial, logistic, and promotional support.

http://www.technosgi.com

 

 

 

----------------------------

Become Noticed

----------------------------

Become Noticed is a San Francisco SEO Company that focuses on best practices and engaging the latest Web technologies to build strong Web strategies for clients developing Websites and Applications.

The Founder of Become Noticed Michael Latulippe is a software engineer and Web developer specializing in PHP, jQuery, AJAX, JavaScript, and HTML5 technologies.

Become Noticed, Inc. sponsors the NYSE group with financial, logistic, and promotional support.

http://www.becomenoticed.com

 

---------------------------

Legal Disclaimer

---------------------------

Views or opinions expressed by speakers or sponsors at our local New York Software Engineers (NYSE) community events do not necessarily express the opinion or views of the NYSE organization and we do not take responsibility for the views expressed or the actions of speakers or sponsors at our local events.

---------------------------

New York Software Engineers is Growing

---------------------------

Our group has grown by leaps and bounds this past year and we are proud to announce that New York Software Engineers (NYSE) is going to continue to grow and develop our ecosystem with job fairs, training events, and groundbreaking events.  We couldn't do it without our members and we want to thank you for being apart of this growing organization.



Join or login to comment.

  • Chinmay Nerurkar

    Thanks for the great presentations. I couldn't make it in person after work but the livestream was really helpful.

    October 10, 2012

  • Params

    It was great presentation and enjoyed it. Setting up NuoDB to play with it. Thanks. For folks to learn more on statistics and machine learning, there are free courses at the below site.


    https://www.coursera.org/­

    1 · October 10, 2012

  • Carol Yeung

    very informative! great speakers, great audience. I made lots of connections last night.

    October 10, 2012

  • A former member
    A former member

    I really enjoyed the meetup. Great location!

    October 10, 2012

  • Juan Espinosa

    It was very interesting...

    October 10, 2012

  • Bill Humphries

    Knewton most interesting - by far. Machine learning ok. NuoDB not so hot.

    October 10, 2012

  • Michael Latulippe

    Great talks and questions from the audience.

    October 10, 2012

  • A former member
    A former member

    really good talks, but would have loved to see some code. it was also quite long - two of those talks together would have been easier to keep people's attention.

    October 9, 2012

  • Michael Latulippe

    Yes we will post all speaker slides on the comments of this event, so check back by the end of the week.

    October 9, 2012

  • Femi Anthony

    Will the slides used by the various speakers be posted ?

    October 9, 2012

  • Jordan Grossman

    I have a funded startup and I'm looking for a co-founder CTO. Interested in helping people get their we news more effectively? Let me know!

    October 9, 2012

  • Tyler Green

    Medical student looking forward to meeting programming engineers with skill in developing adaptive learning platforms an user interfaces.

    October 2, 2012

    • Dave Rogers

      Should be a good meetup.. Looking to apply to healthcare as well.

      October 3, 2012

Our Sponsors

  • Grind

    Members only workspace and community.

  • Turn To Tech

    Software company with a focus on software education.

  • Conde Nast

    Magazine publisher with 18 consumer magazines including GQ and Vogue.

  • Gilt Groupe

    Instant insider access to today's top designer labels

  • Knewton

    Adaptive Learning Platform

  • AppNexus

    Powerful, open and customizable advertising technology platform.

  • O'Reilly Media

    Technical Manuals and Book Giveaways.

  • Climb

    We're Reinventing the business of IT Recruiting.

  • Aditiv

    Retooling global manufacturing with emerging technologies.

People in this
Meetup are also in:

Meetup has 16 million members with thousands of interests

Log in

Not registered with us yet?

Sign up

Meetup members, Log in

By clicking "Sign up" or "Sign up using Facebook", you confirm that you accept our Terms of Service & Privacy Policy