[datameet] ML-India Meetups | Hyderabad chapter coming up!

2017-04-20 Thread Nishank Varshney
Hi all,

As a part of our effort to organize ML meetups across India, we are
planning to kick-start the Hyderabad chapter soon.

We are looking for data science and ML enthusiasts who would like to step
up and help put this together. This will be a great chance to not only pick
up useful entrepreneurial skills, but also experience enriching discussions
by various ML/DS practitioners and researchers in the industry and
academia.

Since we hold the meetups fortnightly, and only on weekends, it won't
require much investment of time.

Read about our Mumbai, Bangalore and Gurgaon meetups here
.

Interested? Write a response to this mail and we'll get in touch!

Thanks
Aspiring Minds Research

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[datameet] Reminder: Data science test | Beta testing

2016-11-08 Thread Nishank Varshney
Hi all,

This is a gentle reminder about the beta-testing opportunity at Aspiring
Minds.

Aspiring Minds is ready to roll out the first version of its simulated Data
Science test. The test, ~60 minutes, has 4-5 problems for which the person
has to write the code in Python/R. The code can be compiled and tested
within the test. This is an addition to our current machine learning based
assessment of programming, spoken english skills and motor skills among
others. Have a quick peek at research.aspiringminds.com

We are looking for enthusiastic beta-testers, experienced in data science
(>2 years), from the industry as well as academia (Ph.D./Master students
preferred), who are well versed in machine learning programming in Python
and/or R languages. This will greatly help us build a good product which is
very useful for the community.

If you are a data science enthusiast, you'll definitely have fun
experiencing the test. We are sure you will also have some learning about
data science.

We have exciting rewards up for grabs for our beta testers, as a token of
appreciation.

Think you'd like to be a part of this enriching experience?


*Apply here
<https://docs.google.com/forms/d/e/1FAIpQLSf6WpTz3oCU3m9V_pGUZgIGDN7iUMByNqtJPKdIE3OtPJu5KQ/viewform>!*

*Additional information and guidelines:*

The questions in this test module are designed to assess the data science
acumen of the candidate. The results of these assessments will then be used
as job credentials by a large pool of big corporates! Your work would
involve solving 4-5 data science questions comprising MCQs and programming
problems, within a span of 10 days. During this period, we'd like you to be
committed to the assignment and provide an extensive feedback about the
various aspects of the test module. The questions from the feedback form
will also be made visible to you before you start the test so that you have
in your mind, the kind of feedback you need to provide before you start
testing. You can then write your responses to the questions after you
finish the test.
Thanks Nishank Varshney

*Data Angels <http://ml-india.org/data-angels/>* India's first angel
initiative to encourage AI-backed technologies
Research blog <http://research.aspiringminds.com/>: Learn more about what
we do
*Data science for kids* <http://datasciencekids.org/>: Our fun initiative
to teach kids data science

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[datameet] Data science test | Beta testing

2016-10-27 Thread Nishank Varshney
Hi all,

Aspiring Minds is ready to roll out the first version of its simulated Data
Science test. The test, ~60 minutes, has 4-5 problems for which the person
has to write the code in Python/R. The code can be compiled and tested
within the test. The test will help data science enthusiasts to evaluate
themselves and companies to easily identify good data scientists.

This is an addition to our current machine learning based assessment of
programming, spoken english skills and motor skills among others. Have a
quick peek at research.aspiringminds.com

We are looking for enthusiastic beta-testers, experienced in data science
(>2 years), from the industry as well as academia (Ph.D./Master students
preferred), who are well versed in machine learning programming in Python
and/or R languages. This will greatly help us build a good product which is
very useful for the community.

For this, you will take a 60-minute test and then share your feedback in a
10-minute form on question quality, comprehensiveness and platform.

If you are a data science enthusiast, you'll definitely have fun
experiencing the test. We are sure you will also have some learning about
data science.

We have exciting rewards up for grabs for our beta testers, as a token of
appreciation.

Think you'd like to be a part of this enriching experience?


*Apply here
<https://docs.google.com/a/aspiringminds.in/forms/d/134V_1hWg_L-uvNiacFOvy_lCtJqDv26_rLLpOq7h9iQ/edit>!*

*Additional information and guidelines:*

The questions in this test module are designed to assess the data science
acumen of the candidate. The results of these assessments will then be used
as job credentials by a large pool of big corporates! Your work would
involve solving 4-5 data science questions comprising MCQs and programming
problems, within a span of 10 days. During this period, we'd like you to be
committed to the assignment and provide an extensive feedback about the
various aspects of the test module. The questions from the feedback form
will also be made visible to you before you start the test so that you have
in your mind, the kind of feedback you need to provide before you start
testing. You can then write your responses to the questions after you
finish the test.

Thanks
Nishank Varshney

*Data Angels <http://ml-india.org/data-angels/>* India's first angel
initiative to encourage AI-backed technologies
Research blog <http://research.aspiringminds.com/>: Learn more about what
we do
*Data science for kids* <http://datasciencekids.org/>: Our fun initiative
to teach kids data science

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[datameet] ML India | Bangalore chapter 7th meetup - Guest speaker from Aspiring Minds Research

2016-10-20 Thread Nishank Varshney
Hi all,

ML India's Bangalore chapter is going to have its 7th meetup on this
Saturday, 22nd October 2016.

We have a guest speaker - Shashank Srikant
<https://shashank-srikant.github.io/>, he's a senior research engineer at
Aspiring Minds' research lab. His key work there has been in developing and
leading automated programming evaluation products. He has developed
algorithms for performance assessment, maintainability and semantic
assessment of software code. He has filed 3 patents and his work has been
published at KDD and NIPS.

He will be talking about mapping a person's skills to the right job and why
it is a problem of great relevance today. He'll also talk about how one can
take such real-world problems and frame it as a problem in machine learning and
some challenges that one may face in doing so.

RSVP your participation on the link below.

*https://www.meetup.com/Machine-Learning-India-Bangalore/events/234944768/
<https://www.meetup.com/Machine-Learning-India-Bangalore/events/234944768/>*


Read about our earlier meetups here
<http://ml-india.org/ml-chapter/#bangalore>.

To join our mailing list for the latest updates, click here
<https://groups.google.com/forum/?hl=en#!forum/ml-india>.

Thanks
Nishank Varshney

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[datameet] ML India Bangalore chapter | Fifth meetup - Guest speaker from Microsoft Research

2016-10-14 Thread Nishank Varshney
ML-India is pleased to inform that the fifth ML-India meetup, for the
Bangalore chapter, was held on 28th August 2016.

Read about it here
<http://ml-india.org/ml-india-bangalore-chapter-fifth-meetup/>.

They had a guest speaker - Chhaya Methani
<https://in.linkedin.com/in/chhaya-methani-77b48a2a>, an Applied Scientist
at Microsoft and former Lead Researcher at Siemens. At Microsoft, Chhaya is
working on Query Reformulation
<http://searchuserinterfaces.com/book/sui_ch6_reformulation.html> and User
Intent Understanding
<http://unbounce.com/conversion-glossary/definition/user-intent/>. Her
areas of interests include ML, Data Analytics and Computer Vision. She gave
a talk on multiple vector representations of words. She explained how most
NLP approaches work with a word as the basic building block and the
importance of considering the context in which the word is being used.

The slide deck can be found here
<https://www.slideshare.net/secret/gKiRuDly7hbtsJ>.

The participation, response and feedback from the participants was very
encouraging! The participants were very active and had a lot of questions
on the day's agenda. We’ll keep up with having such engaging meetups on ML,
and having researchers and practitioners involved in ML to discuss their
work and insights.

We urge other members in the Bangalore region to join/contribute in these
meetups and help spread the word.

Please feel free to write to Sritulasi [email
<edupuganti.sritul...@gmail.com>] to see how you can specifically engage in
this initiative.

If you are interested in organizing a similar meetup in your city, please write
to us <va...@aspiringminds.com> and we'll help get you going.

Stay tuned for the latest updates!

Nishank Varshney
Aspiring Minds Research

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[datameet] Data Angels: Building the world’s smartest companies in India

2016-09-07 Thread Nishank Varshney
Hi all,
We are happy to announce that ml-india.org has launched *Data Angels
<http://ml-india.org/data-angels/>* – angel investors and advisors for the
most innovative machine learning led companies from India. These angels
have expertise in machine learning and/or experience in building successful
technology companies.

Our angels:

   - Varun Aggarwal <https://in.linkedin.com/in/varunaggarwal2>, Founder and
   CTO, Aspiring Minds
   - Manish Gupta <http://www.xrci.xerox.com/profile-main/113/>, Director,
   Xerox Research India
   - Akshay Kothari <http://www.linkedin.com/in/akothari>, Head, Linkedin
   India
   - Una-May O’Reilly <http://people.csail.mit.edu/unamay/>, Principal
   Research Scientist, MIT, USA
   - K <http://www.linkedin.com/in/kunalshah1>unal Shah
   <http://www.linkedin.com/in/kunalshah1>, Founder & Chairman, Freecharge,
   India
   - Lav Varshney <http://varshney.web.engr.illinois.edu/>, Assistant
   Professor, UIUC, USA

In the list of the world’s 50 smartest companies
<https://www.technologyreview.com/lists/companies/2016/> by MIT Technology
review, there are 5 from China, 3 from Japan, 2 from Israel, 6 from Europe
and one each from South Korea and Nigeria and the rest from the United
States. India draws a blank. This needs to change. There is hardly any
company from India with worldwide respect for its innovative product or
technology. (Read more here
<http://ml-india.org/data-angels-building-smartest-companies-in-india/>.)

We need to build smart companies in India which are highly innovative,
technology driven and develop products with no substitutes across the
world. We have a huge opportunity to build companies which use machine
learning and data science at its core. We hope Data Angels will catalyze
the data science ecosystem in India by helping budding data science
entrepreneurs in building smart and successful technology companies.

Got a great idea that uses data science at its core? Apply now!
<https://docs.google.com/forms/d/e/1FAIpQLSf1clg_H5UGZPpZUEumvzXlArWGb4Jgiz7Zqs-3q_wasbpKCg/viewform?c=0=1>

Join <https://groups.google.com/forum/#!forum/ml-india> our mailing list
for latest updates.



Thanks
Nishank Varshney

*Research blog <http://research.aspiringminds.com/>*: Learn more about what
we do
*ASSESS 2015* <http://aspiringminds.com/assess/2015>: Our annual
international workshop on data-driven assessments
*Data science for kids* <http://datasciencekids.org/>: Our fun initiative
to teach kids data science

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[datameet] India's stand in CVPR 2015

2016-08-05 Thread Nishank Varshney
Hi all,

CVPR is the number one venue in Computer Vision and number seven in
Engineering and Computer Science. It also has the highest h-index of any
conference in any field, is the leading IEEE publications including
journals, and it is ranked in the top 70 of all publications. CVPR 2015 was
held in Boston from June 7-12, 2015.

[image: Inline image 1]
Fig 1: Comparison of top contributors at CVPR 2015 by number of paper
accepts

US tops the chart and has been the top research contributor with the
highest number of accepts. China has a decent increase in its accepts from
2014, whereas India and UK both dropped with lesser number of accepts in
2015.


*Read more here <http://ml-india.org/ml-india-stand-cvpr-2015/>.*

*Join <https://groups.google.com/forum/#!forum/ml-india> our mailing list
for the latest updates.*
Nishank Varshney
Aspiring Minds Research

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[datameet] ML-India Interview series | Tanmoy Chakraborty, University of Maryland Institute for Advanced Computer Studies

2016-07-16 Thread Nishank Varshney
Hi all,

We had the pleasure of interacting with Tanmoy Chakraborty
<https://sites.google.com/site/tanmoychakra88/>, a postdoctoral researcher
at University of Maryland Institute for Advanced Computer Studies,
completed his PhD from IIT Kharagpur. His broad research interests are in
data mining, complex networks, social media, natural language processing,
cyber-security and machine learning.


He talks about his PhD project on Community Analysis and how they came up
with a new metric called 'Permanence' giving a new definition for a
'community'. He also talks about his work on cyber security and contrasted
research environments in India and US.

He urges the research community to focus on devising innovative problem
statements to help showcase their research in top conferences.


Read the complete interview here
<http://ml-india.org/ml-india-interview-tanmoy-chakraborty/>.
To join our mailing list for the latest updates, click here
<https://groups.google.com/forum/?hl=en#!forum/ml-india>.


Nishank Varshney
Aspiring Minds Research

*Research blog* <http://research.aspiringminds.com/>: Learn more about what
we do
*ASSESS 2015* <http://aspiringminds.com/assess/2015>: Our annual
international workshop on data-driven assessments
*Data science for kids* <http://datasciencekids.org/>: Our fun initiative
to teach kids data science

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[datameet] India's stand in KDD 2016

2016-07-07 Thread Nishank Varshney
Hi all,

The 22nd ACM SIGKDD 2016  will be held at San
Francisco, California from August 13-17, 2016.

KDD has come out with its list
 of accepted papers for
2016.

. Fig.1: Comparison of top contributors at KDD 2016 by number of paper
accepts

*Clearly, US has been the top research contributor for the past two years,
with the highest number of accepts, though a tad less than 2015. China has
a decent increase in its accepts from last year, whereas India and UK still
stand on similar stats as compared to 2015.*




*Read more here . *


*Join  our mailing list
for the latest updates.*




*Nishank VarshneyResearch blog : Learn
more about what we do*
*ASSESS 2015* : Our annual
international workshop on data-driven assessments

*Data science for kids* : Our fun initiative
to teach kids data science

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[datameet] ML India Gurgaon chapter | Second meetup- Proactive Search and Digital Assistants

2016-07-01 Thread Nishank Varshney
ML-India is pleased to inform that the second ML-India meetup, in its
Gurgaon chapter, was held last Saturday, on 25th June 2016.

Read about it here
<http://ml-india.org/ml-india-gurgaon-chapter-second-meetup/>.

They had a guest speaker -  R
<https://in.linkedin.com/in/arijit-biswas-46690236>ishabh Mehrotra, Machine
Learning/Information Retrieval PhD student at University College London,
UK. He discussed about his experience in ‘Proactive Search and Digital
Assistants’. He talked about different features that are utilized by search
engines like Google, and focused, multi-tasking, super-tasking users.

Watch the video here <https://youtu.be/6wMnQk-SOp0>.

The crowd was very diverse and enthusiastic. One participant was from a
firm working to materialize new hardware optimized for machine learning
algorithms. Another participant was from an HR consultancy firm looking
forward to using machine learning to select better candidates. This
diversity really helps in brainstorming a variety of ideas on current
applications of ML.

We really look forward to having such engaging and interesting meetups, and
having researchers and practitioners involved in ML to discuss their work
and insights.

If you are interested in organizing a similar meetup in your city, please write
to us <va...@aspiringminds.com> and we'll help get you going.

Join <https://groups.google.com/forum/#!forum/ml-india> our mailing list
for the latest updates.

Stay tuned!

Nishank Varshney

*Research blog* <http://research.aspiringminds.com/>: Learn more about what
we do
*ASSESS 2015* <http://aspiringminds.com/assess/2015>: Our annual
international workshop on data-driven assessments
*Data science for kids* <http://datasciencekids.org/>: Our fun initiative
to teach kids data science

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[datameet] ML-India Interview series | Dr. Vasudeva Varma IIIT Hyderabad

2016-06-24 Thread Nishank Varshney
Hi all,

We had the pleasure of interacting with Dr. Vasudeva Varma, professor and
the Dean (Research & Development) at IIIT Hyderabad, India.

His research interests are in the broad areas of Information Retrieval,
Extraction and Access. More specifically, social media analysis, cross
language information access, summarization and semantic search. He also
works in the areas of Cloud Computing and Reuse in software engineering.

He talks about his past work experience in the Silicon Valley and its
influence on his future work. He elaborates on the genesis and development
of IIIT-H Foundation and how it is curating a powerful incubation system
for promising start-ups. He also discusses interesting problems he is
working on and his views on the current ML scenario.

He emphasized that there needs to be an efficient framework of investors
and consumers to best utilize the latest research.
Read the complete interview here
<http://ml-india.org/ml-india-interview-vasudeva-varma/>.

To join our mailing list for the latest updates, click here
<https://groups.google.com/forum/?hl=en#!forum/ml-india>.

Nishank Varshney
Aspiring Minds Research

*Research blog* <http://research.aspiringminds.com/>: Learn more about what
we do
*ASSESS 2015* <http://aspiringminds.com/assess/2015>: Our annual
international workshop on data-driven assessments
*Data science for kids* <http://datasciencekids.org/>: Our fun initiative
to teach kids data science

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[datameet] ML India Bangalore chapter | Fourth meetup - Guest speaker from Xerox Research

2016-06-16 Thread Nishank Varshney
ML-India is pleased to inform that the fourth ML-India meetup, for the
Bangalore chapter, was held on 28th May, 2016.

Read about it here
<http://ml-india.org/ml-india-bangalore-chapter-fourth-meetup/>.

They had a guest speaker -  Arijit Biswas
<https://in.linkedin.com/in/arijit-biswas-46690236>, research scientist at
Xerox Research Centre India (XRCI), who talked about the motivation behind
Deep Learning. He took them through the basics of Neural Network and its'
different applications. He also presented his is present work on Multimodal
Deep Learning at Xerox.

The slide deck can be found here
<https://drive.google.com/folderview?id=0B5e-wnFrLgTETktvdERDdlNtWEk=sharing>
.

The participation, response and feedback from the participants was very
encouraging! The participants were very active and some of them who are
using these concepts in their corporate projects had a lot of questions. We’ll
keep up with having such engaging meetups on ML, and having researchers
and practitioners involved in ML to discuss their work and insights.

We urge other members in the Bangalore region to join/contribute in these
meetups and help spread the word. Please feel free to write to Sritulasi [
email <edupuganti.sritul...@gmail.com>] to see how you can specifically
engage in this initiative. Special thanks to *Sunny* for volunteering to
host the meetup this time around.

If you are interested in organizing a similar meetup in your city, please write
to us <va...@aspiringminds.com> and we'll help get you going.

Stay tuned!

Nishank Varshney

*Research blog* <http://research.aspiringminds.com/>: Learn more about what
we do
*ASSESS 2015* <http://aspiringminds.com/assess/2015>: Our annual
international workshop on data-driven assessments
*Data science for kids* <http://datasciencekids.org/>: Our fun initiative
to teach kids data science

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[datameet] ML India Bangalore chapter - 4th meetup - Guest speaker from Xerox Research

2016-05-23 Thread Nishank Varshney
Hi all,

ML India's Bangalore chapter is going to have its fourth meetup next
Saturday, on 28th May 2016.

We have a guest speaker - Arijit Biswas, research scientist at Xerox
Research Centre India (XRCI), who'll be talking about fundamentals of
Convolutional
Neural Networks
<https://en.wikipedia.org/wiki/Convolutional_neural_network> such
as convolution, pooling, dropout etc. He will also talk about RNN
<https://en.wikipedia.org/wiki/Recurrent_neural_network>, LSTM  and
their architectural details. In the end, he will briefly discuss his recent
research work on multimodal deep learning where temporal and multimodal
information are combined using deep neural networks for classification or
regression tasks.

RSVP your participation on the link below.

*Link: *

*http://bit.do/b3iSi <http://bit.do/b3iSi>*
*Speaker bio: *http://bit.do/b3iSa

A shout out to Sritulasi for leading the meetup initiative in Bangalore.

Read about our earlier meetups here
<http://ml-india.org/ml-chapter/#bangalore>.

To join our mailing list for the latest updates, click here
<https://groups.google.com/forum/?hl=en#!forum/ml-india>.

Thanks
Nishank Varshney
Aspiring Minds Research

*Research blog* <http://research.aspiringminds.com/>: Learn more about what
we do
*ASSESS 2015* <http://aspiringminds.com/assess/2015>: Our annual
international workshop on data-driven assessments
*Data science for kids* <http://datasciencekids.org/>: Our fun initiative
to teach kids data science

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[datameet] ML India Gurgaon chapter - 1st meetup

2016-05-09 Thread Nishank Varshney
Hi All,

As an initiative ​of ML-India <http://ml-india.org/>, we have started
it's Gurgaon
chapter <http://www.meetup.com/Machine-Learning-India-Gurgaon/>, which will
hold frequent machine learning meetups where machine learning enthusiasts
can meet and discuss latest or seminal research in the field.

We are starting off with an event this Saturday (14/5/2016), where we will
be starting off with the intro to supervised learning along with some
hands-on exercises. If time permits, we can discuss this paper: *A Machine
Learning Approach to Twitter User Classification by Marco Pennacchiotti and
Ana-Maria Popescu* [Link]
<http://www.aaai.org/ocs/index.php/ICWSM/ICWSM11/paper/view/2886/3262>,
which talks about detecting user's political affiliation, ethnicity and
affinity for a particular business using rich linguistic features on user's
behavior, with an application to Twitter.

Earlier, we had also started the *Banglore chapter* which has conducted
multiple interesting meetups. Read about them here
<http://ml-india.org/ml-chapter/#bangalore>.

RSVP your participation for the meetup here
<http://www.meetup.com/Machine-Learning-India-Gurgaon/events/230983479/>.

To join the Bangalore chapter, click here
<http://www.meetup.com/Machine-Learning-India-Bangalore/>.

To join our mailing list for the latest updates, click here
<https://groups.google.com/forum/?hl=en#!forum/ml-india>.

Thanks

Nishank Varshney
Aspiring Minds Research

*Research blog* <http://research.aspiringminds.com/>: Learn more about what
we do
*ASSESS 2015* <http://aspiringminds.com/assess/2015>: Our annual
international workshop on data-driven assessments
*Data science for kids* <http://datasciencekids.org/>: Our fun initiative
to teach kids data science

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[datameet] ML-India Interview series - Prof. Mausam, IIT Delhi

2016-04-27 Thread Nishank Varshney
We had the pleasure of interacting with Prof. Mausam, Associate Professor
at Indian Institute of Technology - Delhi (IIT-D) and an affiliate faculty
at University of Washington, as a part of our ML-India interview series.

Mausam's work focuses on large-scale information extraction and text
summarization, AI & ML applications to crowdsourcing and education,
automated planning under uncertainty, machine learning, and probabilistic
reasoning.

He talks about his research on Crowdsourcing and Information Extraction. He
also talks about his developing work in learning the habits of students
interacting with e-learning websites like Coursera, Khan Academy etc. He
also talks about the contrast of ecosystem for ML in India to his
experience at the University of Washington.

He stresses on nurturing a critical mass of serious researchers in ML which
would keep the students engaged and play a vital role in the growth of ML
in India.


Read the complete interview here
<http://ml-india.org/ml-india-interview-prof-mausam/>.

To join our mailing list for the latest updates, click here
<https://groups.google.com/forum/?hl=en#!forum/ml-india>.

Nishank Varshney
Aspiring Minds Research

*Research blog* <http://research.aspiringminds.com/>: Learn more about what
we do
*ASSESS 2015* <http://aspiringminds.com/assess/2015>: Our annual
international workshop on data-driven assessments
*Data science for kids* <http://datasciencekids.org/>: Our fun initiative
to teach kids data science

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us by visiting http://datameet.org
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[datameet] ML India Bangalore chapter - 3rd meetup - Guest speaker from Scribble Data

2016-04-21 Thread Nishank Varshney
Hi all

ML India's Bangalore chapter is going to have its third meetup next
Saturday, on 30th April 2016.

We have a guest speaker - Venkata Pingali, founder of Scribble Data
<http://scribbledata.io/> and former VP of FourthLion Technologies
<https://www.linkedin.com/company/fourthlion-technologies?trk=ppro_cprof>,
who'll
be talking about using dataset versioning to address some data science
challenges which will be followed by a workshop session on a Kaggle problem.

RSVP your participation on the link below.

*Link: *
http://www.meetup.com/Machine-Learning-India-Bangalore/events/230484243/

*Speaker bio: *https://in.linkedin.com/in/pingali

A shout out to Sritulasi for organizing the Bangalore chapter meetups.
Read about our first and second meetups: [1]
<http://ml-india.org/ml-india-bangalore-chapter/> [2]
<http://ml-india.org/ml-india-bangalore-chapter-second-meetup/>

To join our mailing list for the latest updates, click here
<https://groups.google.com/forum/?hl=en#!forum/ml-india>.

Nishank Varshney
Aspiring Minds Research

*Research blog* <http://research.aspiringminds.com/>: Learn more about what
we do
*ASSESS 2015* <http://aspiringminds.com/assess/2015>: Our annual
international workshop on data-driven assessments
*Data science for kids* <http://datasciencekids.org/>: Our fun initiative
to teach kids data science

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us by visiting http://datameet.org
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[datameet] ML-India Interview Series - Mr. Avisek Lahiri, doctoral student, IIT Kharagpur

2016-04-13 Thread Nishank Varshney
We had the pleasure of interacting with Mr. Avisek Lahiri, a doctoral 
student at IIT Kharagpur, as a part of our ML-India interview series.

Mr. Avisek Lahiri joined IIT-KGP in 2013 as a master's student in the 
computer vision lab. After having worked in the field of computer vision, 
machine learning (ML) caught his attention and he joined the same 
department as a PhD student.

He talks about his research on Image Captioning using ML and the data 
annotation problem in supervised ML. He also talks about the current state 
and growth of innovative ML start-ups in India and also talks about other 
projects being worked on in his lab. 

He stresses on the need to improve foreign collaborations in ML research 
which could bring in fresh ideas and a culture of innovation. 

Read the complete interview here 
<http://ml-india.org/ml-india-interview-avisek-lahiri/>.

To join our mailing list for the latest updates, click here 
<https://groups.google.com/forum/?hl=en#!forum/ml-india>.

Nishank Varshney
Aspiring Minds Research

*Research blog* <http://research.aspiringminds.com/>: Learn more about what 
we do
*ASSESS 2015* <http://aspiringminds.com/assess/2015>: Our annual 
international workshop on data-driven assessments
*Data science for kids* <http://datasciencekids.org/>: Our fun initiative 
to teach kids data science

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Datameet is a community of Data Science enthusiasts in India. Know more about 
us by visiting http://datameet.org
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