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Dual talk: Neural Networks and Machine Learning in Finance + Networking Event

  • Jun 18, 2014 · 6:30 PM
  • This location is shown only to members

We have two great talks scheduled for June that will explore the application of both neural networks and machine learning in the financial markets. We will have our usual networking session after the talks with food and drink generously provided by our sponsors.

Many of you have requested we videotape these events.  For this meetup I’m going to see if we can crowdfund that cost.  For those of you who contribute $10 or more we will send a link to the video once it’s taped.  I’ve set up an Eventbrite page to collect funds.

https://www.eventbrite.com/e/crowdfund-videotaping-of-bdm-event-neural-nets-and-ml-in-finance-tickets-9152255643

Event details:

Professor Mark Kon presents: “Some background on machine learning and its uses in financial prediction”

Machine learning is still a growing field in both its theoretical aspects and its applications.  It is being applied to such areas as robotics, self-driving cars, and  computational biology/drug discovery.   Its origins lie in artificial neural network theory, which began an evolution in the 90s toward the broader field of machine learning.  The area is based on some simple principles which I will discuss. The first is the  universality of feature vectors, i.e., the possibility of encoding all objects into strings of numbers.  The second is the "geometrization" of learning, i.e., the translation of learning problems into geometrical location tasks, and the third is the so-called kernel trick.  I will explain the basic ideas and give examples of applications in financial and other areas.

About the presenter:  

Mark Kon is a professor of Mathematics and Statistics at Boston University, and is also a faculty member in the Neuroscience and Bioinformatics programs.   His areas of research  have included neural networks, machine learning, computational biology, and quantum computation.   He studied mathematics, physics, and psychology at Cornell, and mathematics at MIT.

Eric Morris presents “Introduction to Neural Networks in Financial Market Analysis”

Neural networks for machine learning have a rich history and recent resurgence in applied problems across a wide range of fields, especially where it is challenging to write rule-based programs. In this talk we will briefly explore the biological foundation of neural networks and why the human brain can be a highly advantageous paradigm from which to construct analytic hypotheses. After an introduction to biological neural networks, we will explore the application of these characteristics to artificial neural networks and their components. Finally, we will use what we have learned to demonstrate a practical application of applying neural networks to financial data to generate a predictive hypothesis. 

About the presenter:

Eric Morris is consulting out of the Cambridge Innovation Center and working on several projects in the finance and technology space. He recently left the French firm Capgemini where he was a consultant on strategy and technology to Fortune 500 clients. Eric graduated with honors from Cornell University where he earned a double major studying Biology (concentrating in biotechnology and business) and Applied Economics and Management in Cornell's College of Agriculture and Life Sciences School and Dyson School of Applied Economics and Management respectively.

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  • Erik W.

    Is the video available yet? I contributed via EventBright, but don't believe I've received the link... Thanks

    June 23, 2014

    • Tom B.

      The link to the video will come from Sheamus. It should be available soon.

      June 25, 2014

  • David O.

    You've got to be careful when you criticize with text. The first talk was more introductory than I expected and didn't provide me with much new information, but for some I'm sure it was a very useful introduction to the field. An assessment by future speakers of the intended audience or level would be appreciated. That said, I come to meetups primarily to meet new people and learn lots from these conversations.

    1 · June 20, 2014

  • Larry

    I agree with Russ. I expected higher level and this was all introductory material. It help to state that in the meeting announcement. I think it is a shame that people cannot express their feelings without being called mean spirited.

    1 · June 20, 2014

  • Dan T.

    I don't get it. The first speaker was a salesman who had platitudes about the complexity of the brain. I couldn't stay for the second speaker.

    3 · June 19, 2014

    • Russ H.

      BTW, I second Tim's comment about Andrew Ng's ML course on Coursera. Very well organized and presented. Probably the best on-line course I have taken to date. Highly recommended!

      June 19, 2014

    • Krishnakumar R.

      A constructive feedback will always be welcomed. But the comments shouldn't be abrasive. We all are here to share and learn from each other. I guess that is one of the ideas in any Meetup event !!

      June 20, 2014

  • Hugh

    I thought they were both pretty good, but I have only seen a few quant investment talks.

    June 19, 2014

  • Brenden C. M.

    The talks were excellent, providing high level accessible content as well as deep useful nuance!

    June 19, 2014

  • Erik W.

    Looking forward to reviewing video. Also, agree more info on the arch would be extremely useful. Any chance the presenters are willing to provide additional details?

    June 19, 2014

  • Krishnakumar R.

    The math and the ML concepts were explained well by the Prof. But had they told at least little bit about how the system (architecture and the tools) used for building whatever learning algo being used, it would have more beneficial to software devs like me ! But overall brilliant event. Kudos to the team who organized !

    June 19, 2014

  • David W.

    I was registered but unable to attend... Is there a video of the presentations available?

    June 19, 2014

  • Sang L.

    I would have loved to have stayed and listened to the speaker. However, people grabbing pizza and soda during the talk made it impossible for me hear the speaker (I was in the kitchen area due to lack of seats)... I hope in future people can wait until the talk was over to eat... Just my two cents. I really hope the talk will be online.

    3 · June 18, 2014

    • Scott F.

      I've been to a lot of these and it is always hard to get people to wait and if they do they are disappointed at the cold pizza. Perhaps having the networking/pizza part in the start and then sitting down to hear the talk would be a better option. I notice people are far more talkative when they first arrive then after the talk is over anyway.

      3 · June 19, 2014

    • David O.

      Whenever I've attended meetups the networking has happened and I've had more interesting conversations at the beginning.

      June 19, 2014

  • Nees

    Excellent talks. Thank you.

    June 19, 2014

  • Hugh

    Great talks Sheamus. Thanks for setting up.

    1 · June 18, 2014

  • Sheamus M.

    Sincere thanks to Eric Morris and Mark Kon for two great talks that nicely balanced introductory material with applicable financial models. Very relevant.

    2 · June 18, 2014

  • Zhongyi C.

    More applications are preferable.

    June 18, 2014

  • andrzej

    duda's pattern classification is standard very readable reference.
    if you are mathematically inclined, the bible is the 4 volume van trees book on detection.

    1 · June 18, 2014

  • Mlworle

    I'm interested in outlier detection, classification and algorithms. Heard Aggarwal's book is good. Any thoughts?

    1 · June 18, 2014

  • Krishnakumar R.

    I'm looking forward to understanding the algorithms involved. And how I can apply that to different problems ?

    June 18, 2014

  • A former member
    A former member

    I'm looking to get deep into modern machine learning

    1 · June 18, 2014

  • Hao H.

    Sounds cool

    June 13, 2014

  • Abdel

    Intersted in neural networks and machine learning

    June 13, 2014

  • A former member
    A former member

    I donated towards the taping, but I won't be able to attend the meeting-- will I get the link through eventbrite if I cancel my attendance here?

    June 12, 2014

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