[builds-list] [intelligence] The Boston Data Festival Starts Next Week

Benjamin Chen algorithmicascension at gmail.com
Fri Oct 31 15:36:03 EDT 2014


On Thu, Oct 30, 2014 at 1:56 PM, Sheamus McGovern <info at meetup.com> wrote:

>
> Hi Everyone,
>
> Just  a reminder that Boston Data Festival starts next week!  Tickets are
> either free or $5.  In addition to talks all events will have food and the
> opportunity to network.
>
>
>
> *Tuesday, Nov 4th**Four talks at three locations: *
>
> • Quantifying Uncertainty: Evaluating Trading Algorithms using
> Probabilistic Programming, Thomas Wiecki, 5:30pm@ hack/reduce
> *Register to Attend
> <https://www.eventbrite.com/e/quantifying-uncertainty-evaluating-trading-algorithms-using-probabilistic-programming-thomas-wiecki-tickets-13335048489?ref=elink>*
>
> • Vector Space Word Representations:  - Rani Nelken, 7:30pm @ hack/reduce
>
>
> *Register to Attend
> <https://www.eventbrite.com/e/vector-space-word-representations-rani-nelken-hackreduce-tickets-13334565043?ref=elink>*•
>  Big Data for All, All for Big Data: The Cross-Industry impact of Big Data,
> 5:30pm @ DataXu
>
>
> *Register to Attend
> <https://www.eventbrite.com/e/big-data-for-all-all-for-big-data-the-cross-industry-impact-of-big-data-sandro-catanzaro-and-bill-tickets-13338386473>*•
> Chris Lynch, co-sponsored by Business Analytics and Data Club, 6:00 PM @
> Harvard Business School
> *Register to Attend
> <https://www.eventbrite.com/e/chris-lynch-harvard-business-school-at-aldrich-hall-classroom-111-tickets-13677801673>*
>
>
>
> *Wednesday, Nov 5th**Six talks at three locations: *
>
> • Building Fast Applications for Streaming Data, Ryan Betts, 5:30pm, Microsoft
> Nerd Center
>
>
> *Register to Attend
> <https://www.eventbrite.com/e/building-fast-applications-for-streaming-data-ryan-betts-microsoft-nerd-center-tickets-13335584091>*• Big
> But Personal Data: How Human Behavior Bounds Privacy and What We Can We Do
> About It, 7:30pm, Microsoft Nerd Center
>
>
> *Register to Attend
> <https://www.eventbrite.com/e/big-but-personal-data-how-human-behavior-bounds-privacy-and-what-we-can-we-do-about-it-yves-tickets-13334262137>*• In
> Defense of Imprecision: Why Traditional Approaches to Data Visualization
> are Changing, Mark Schindler, 5:30pm, Cambridge Innovation Center
>
>
> *Register to Attend
> <https://www.eventbrite.com/e/in-defense-of-imprecision-why-traditional-approaches-to-data-visualization-are-changingmark-tickets-13334109681>*• Visualizing
> Networks, Lynn Cherny, 7:30pm, Cambridge Innovation Center
>
>
> *Register to Attend
> <https://www.eventbrite.com/e/visualizing-networks-lynn-cherny-cambridge-innovation-center-tickets-13338033417>*• Data
> Science on a Budget: Maximizing Insight and Impact, Nicholas Arcolano,
> 5:30pm, hack/reduce
>
>
> *Register to Attend
> <https://www.eventbrite.com/e/data-science-on-a-budget-maximizing-insight-and-impact-nicholas-arcolano-hack-reduce-tickets-13333688421>*• How
> to Quantify Culture, Introduction to R Workshop, Ethan Fosse, 7:30pm,
> hack/reduce
>
> *Register to Attend
> <https://www.eventbrite.com/e/how-to-quantify-culture-introduction-to-r-workshop-ethan-fosse-hackreduce-tickets-13333810787>*
>
>
>
> *Thursday, Nov 6th**Six talks at three locations: *
>
> • The Shape of Data: An Intuitive Introduction to the Geometry
> Behind Machine Learning/Data Learning, Jesse Johnson, 5:30pm, Thomson
> Reuters
> *Register to Attend*
>
> <https://www.eventbrite.com/e/the-shape-of-data-an-intuitive-introduction-to-the-geometry-behind-machine-learningdata-learning-tickets-13333118717>
> • Mining Big Data to Solve a Specific Customer Need, Mans Olof-Ors, 7:30pm,
> Thomson Reuters
>
>
> *Register to Attend
> <https://www.eventbrite.com/e/mining-big-data-to-solve-a-specific-customer-need-mans-olof-ors-thomson-reuters-tickets-13681958105>*• Data
> Science to the Rescue of Healthcare Costs, Ramesh Kumar, 5:30pm,
> Cambridge Innovation Center
>
>
> *Register to Attend
> <https://www.eventbrite.com/e/data-science-to-the-rescue-of-healthcare-costs-ramesh-kumar-cambridge-innovation-centerventure-cafe-tickets-13335451695>*• Neural
> Networks, Deep Learning, and Financial Modeling, Eric Morris, 7:00pm,
> Cambridge Innovation Center
>
>
> *Register to Attend
> <https://www.eventbrite.com/e/neural-networks-deep-learning-and-financial-modeling-eric-morris-cambridge-innovation-center-tickets-13579832645>*• Bringing
> Coherence to Chaos-Automated Analysis on Large-Scale Social Data for the
> 2014 World Cup, Catherine Havasi, 5:30pm, hack/reduce
>
>
> *Register to Attend
> <https://www.eventbrite.com/e/bringing-coherence-to-chaos-automated-analysis-on-large-scale-social-data-for-the-2014-world-cup-tickets-13334853907>*• Multi-Armed
> Bandits and Reinforcement Learning in Computational Advertising, Michael
> Els, 6:30pm, hack/reduce
> *Register to Attend
> <https://www.eventbrite.com/e/multi-armed-bandits-and-reinforcement-learning-in-computational-advertising-michael-els-hackreduce-tickets-13333333359>*
>
>
>
> *Friday, Nov 7th**Three talks at two locations:*
>
> Doing Data Science with Python and Scikit-Learn: The Mystery of the
> Sicilian Olive Oils, Rahul Dave, 5:00pm, Cambridge Innovation Center
>
>
> *Register to Attend
> <https://www.eventbrite.com/e/doing-data-science-with-python-and-scikit-learn-the-mystery-of-the-sicilian-olive-oils-rahul-dave-tickets-13467663143>*Thinking
> in Data Workshop, David Weisman, 5:30pm, hack/reduce
>
>
> *Register to Attend
> <https://www.eventbrite.com/e/thinking-in-data-workshop-david-weisman-hackreduce-tickets-13338185873>*
> Mining Living Organisms: Inferring Biological Models from Wet-Lab
> Experiments, Daniel Lobo, 7:30pm, hack/reduce
> *Register to Attend
> <https://www.eventbrite.com/e/mining-living-organisms-inferring-biological-models-from-wet-lab-experiments-daniel-lobo-hackreduce-tickets-13377058141>*
>
> *Saturday, Nov 8th*
>
> Workshop – An introduction to Bayesian Statistics using Python (Allen
> Downey) @ CIC
>
> *Register to Attend
> <https://www.eventbrite.com/e/workshop-an-introduction-to-bayesian-statistics-using-python-allen-downey-cambridge-innovation-tickets-13639894291>*
>
>
> For more information, please visit the Festival Website: *http://www.bostondatafest.com
> <http://www.bostondatafest.com>*
>
> We look forward to seeing you there!
>
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