[Boston.pm] Correction Re: Tech Meeting "Deep Learning in Perl" Nov. 14th - Adam Russell (live!)

2017-11-09 Thread Bill Ricker via Boston-pm
I mistakenly used later timing. Talk normally begins 7:30, gather/mingle 7ish.


On Thu, Nov 9, 2017 at 5:50 PM, Bill Ricker  wrote:
> We changed speakers and topics at the last minute last month because real 
> life.
>
> Our very interesting previously-planned speaker will instead speak
> this month -- next week.
> Remember, if you get Veterans' Day Monday off work, Tuesday will feel
> like Monday.
>

 Next Meeting - Tuesday, November 14th - 7 ish gather, 7:30 talk


> Adam Russell
> "Deep Learning in Perl with AI::MXNet: Navigating implementation issues"
>
> LIVE Speaker !
> ROOM Change (from spring): E51-372 (MIT 2 Amherst St, Cambridge)
>
>
> ABSTRACT
> This talk will cover lessons learned from a recent experience in
> getting a deep learning projected started, with little prior
> experience in AI. All code will use the Perl MXNet API and guide the
> audience through developing a simple model, which is then built on to
> perform more complex tasks.
>
> Artificial Intelligence (AI) has for a long time captured the popular
> imagination. Results from academia and industry have finally started
> to deliver on some of the long hoped for results: self driving cars,
> automated medical diagnoses, and written and verbal language
> processing. These areas are showing advances that were once simply
> products of fiction writers. The current wave of AI enthusiasm may be
> attributed to what is called Deep Learning which is a convenient label
> for relatively new techniques using neural networks. The possibility
> for increased automation across virtually every industry has resulted
> in the spinning up of many new startup companies, as well as new
> projects within existing enterprises, resulting in the need to develop
> the skills necessary to pursue this new area.
>
> While not the language of production, Perl is used to develop
> algorithms and demonstrate concepts before they receive fuller
> treatment. Deep Learning practitioners often begin their deep learning
> work, correctly, with a review of the literature and research into the
> fundamentals. Projects then often start confidently with high hopes,
> built on that conceptual understanding, only to quickly get bogged
> down in unforeseen, but critically important, issues of
> implementation.
>
>  SPEAKER
> Adam Russell is a software engineer with OptumLabs' Center for Applied
> Data Science (CADS). CADS is tasked with developing prototype
> applications which implement recent advances in algorithms and
> technology to address issues of importance to Optum business
> interests. Most recent projects have been focused on Deep Learning.
> Adam has a PhD in Computer Science from the University of
> Massachusetts Lowell, his academic interests involve Computational
> Geometry and Data Visualization and these explorations, much like the
> work described in this talk, are all Perl driven. He also teaches, on
> an adjunct basis, at Wentworth Institute of Technology in Boston.
>
> NOTES
>> Parking Alert.
>> Recent changes in MIT Parking Dept web pages (parking ,
>> visitors, public ) no longer allow un-permitted parking after-hours.
>> (This is a natural response to several other East Campus parking lots
>> being eaten by new building sites for campus expansion.)
>> Only legit parking is Cambridge meters (late hours! and several blocks
>> lost to construction), free spaces on Memorial Drive (allow time for
>> circling), and paid lot/garages.
>
> (Some circle to get a meter that will be free after 8pm and toss in a couple
> quarters for good luck until then, hoping more folk are leaving than arriving
> until after they become free.)
>
>> Come by Train, Bus, Bicycle, or Foot if you can!
>> (Parking at MBTA Garages are convenient to T and not overpriced,
>> unlike most in-town garages.)
>> Also, construction detour is even longer than last time if driving,
>> Wadsworth to/from Mem Drive & Amherst St to Amess both closed, only
>> access by car is Wadsworth to/from Main St east-bound.
>
> parking links available via http://boston.pm.org/Calendar
>
> DETAILS
>> Tech Meetings are held on the 2nd Tuesday of every month at MIT
>> building E51, Sloan School Tang Center [not the other Tang building!]
>> nearer to Kendall Sq than Mass Ave. (directions).
>> Talk begins at 7:30.
>> Refreshments in the hallway prior.
>
>> RSVP for count encouraged but not required, to bill.n1...@gmail.com or
>> Boston-PM list, by 4pm Tuesday.
>> (NOTE: Fall 2017: we're moving back to the squarer room 372 (first
>> door after the partition), not the wider 376 (second door) that we had
>> the last several years)



-- 
Bill Ricker
bill.n1...@gmail.com
https://www.linkedin.com/in/n1vux

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[Boston.pm] Tech Meeting "Deep Learning in Perl" Nov. 14th - Adam Russell (live!)

2017-11-09 Thread Bill Ricker via Boston-pm
We changed speakers and topics at the last minute last month because real life.

Our very interesting previously-planned speaker will instead speak
this month -- next week.
Remember, if you get Veterans' Day Monday off work, Tuesday will feel
like Monday.

Next Meeting - Tuesday, November 14th - 7:30ish gather, 8pm talk
Adam Russell
"Deep Learning in Perl with AI::MXNet: Navigating implementation issues"

LIVE Speaker !
ROOM Change (from spring): E51-372 (MIT 2 Amherst St, Cambridge)


ABSTRACT
This talk will cover lessons learned from a recent experience in
getting a deep learning projected started, with little prior
experience in AI. All code will use the Perl MXNet API and guide the
audience through developing a simple model, which is then built on to
perform more complex tasks.

Artificial Intelligence (AI) has for a long time captured the popular
imagination. Results from academia and industry have finally started
to deliver on some of the long hoped for results: self driving cars,
automated medical diagnoses, and written and verbal language
processing. These areas are showing advances that were once simply
products of fiction writers. The current wave of AI enthusiasm may be
attributed to what is called Deep Learning which is a convenient label
for relatively new techniques using neural networks. The possibility
for increased automation across virtually every industry has resulted
in the spinning up of many new startup companies, as well as new
projects within existing enterprises, resulting in the need to develop
the skills necessary to pursue this new area.

While not the language of production, Perl is used to develop
algorithms and demonstrate concepts before they receive fuller
treatment. Deep Learning practitioners often begin their deep learning
work, correctly, with a review of the literature and research into the
fundamentals. Projects then often start confidently with high hopes,
built on that conceptual understanding, only to quickly get bogged
down in unforeseen, but critically important, issues of
implementation.

 SPEAKER
Adam Russell is a software engineer with OptumLabs' Center for Applied
Data Science (CADS). CADS is tasked with developing prototype
applications which implement recent advances in algorithms and
technology to address issues of importance to Optum business
interests. Most recent projects have been focused on Deep Learning.
Adam has a PhD in Computer Science from the University of
Massachusetts Lowell, his academic interests involve Computational
Geometry and Data Visualization and these explorations, much like the
work described in this talk, are all Perl driven. He also teaches, on
an adjunct basis, at Wentworth Institute of Technology in Boston.

NOTES
> Parking Alert.
> Recent changes in MIT Parking Dept web pages (parking ,
> visitors, public ) no longer allow un-permitted parking after-hours.
> (This is a natural response to several other East Campus parking lots
> being eaten by new building sites for campus expansion.)
> Only legit parking is Cambridge meters (late hours! and several blocks
> lost to construction), free spaces on Memorial Drive (allow time for
> circling), and paid lot/garages.

(Some circle to get a meter that will be free after 8pm and toss in a couple
quarters for good luck until then, hoping more folk are leaving than arriving
until after they become free.)

> Come by Train, Bus, Bicycle, or Foot if you can!
> (Parking at MBTA Garages are convenient to T and not overpriced,
> unlike most in-town garages.)
> Also, construction detour is even longer than last time if driving,
> Wadsworth to/from Mem Drive & Amherst St to Amess both closed, only
> access by car is Wadsworth to/from Main St east-bound.

parking links available via http://boston.pm.org/Calendar

DETAILS
> Tech Meetings are held on the 2nd Tuesday of every month at MIT
> building E51, Sloan School Tang Center [not the other Tang building!]
> nearer to Kendall Sq than Mass Ave. (directions).
> Talk begins at 7:30.
> Refreshments in the hallway prior.

> RSVP for count encouraged but not required, to bill.n1...@gmail.com or
> Boston-PM list, by 4pm Tuesday.
> (NOTE: Fall 2017: we're moving back to the squarer room 372 (first
> door after the partition), not the wider 376 (second door) that we had
> the last several years)

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