machine learning workshop for developers (dubai 2016)
TRANSCRIPT
MACHINE LEARNINGW I T H O P E N S O U R C E A N D C L O U D P L A T F O R M S
2-DAY DEVELOPERS WORKSHOP
<end-to-end machine learning integration into your applications>
30-31 MAY, 2016, MEDIA ROTANA, HESSA ST, DUBAI, UNITED ARAB EMIRATES
M A C H I N E L E A R N I N G W O R K S H O P F O R D E V E L O P E R S
30-31 MAY: DUBAI: 2016 #MLDXB
Data Science Middle East (#DSME) in partnership with
PAPIs and The School of Data Science are excited to
announce 2-day hands-on "Machine Learning
Workshop for Developers" in Dubai. Great opportunity
to learn practical machine learning techniques for
building smart and intelligent applications.
END-TO-END ML FOR REAL-WORLD
APPLICATIONS
Most Machine Learning courses are given from the perspective of
a Data Scientist and focus on the techniques and algorithms that
allow to learn from data. This workshop takes the perspective of
an application developer and instead provides an end-to-end
view of ML integration into your applications. We’ll go all the way
from data preparation to the integration of predictive models in
your domain and their deployment in production
"I do think in the long run we will evolve in
computing from a mobile-first to an A.I.-first
world," Sundar Pichai, Google's CEO
THE RIGHT MIX OF THEORY AND
HANDS-ON WORK
The workshop is agnostic and features the best open source Python
libraries (Pandas, scikit-learn, SKLL), APIs and ML-as-a-Service platforms
(Microsoft Azure ML & Cortana Intelligence Suite, Amazon ML, BigML) for
developers getting started in Machine Learning. It focuses on only two
learning techniques, which turn out to be the most commonly used in
practice: decision trees and ensembles.
Workshop is 2 day long and comprises 8 modules of 3 blocks of 30’
each—including time for questions. Blocks are either Theory or Exercise,
with at least one Exercise per module. The goal is to make you operational
with machine learning at the end of the workshop.
WHAT YOU WILL LEARN
How Machine Learning works, its possibilities, its limitations, and the importance of data.
How to create, evaluate and deploy predictive models, via open source libraries, APIs and ML-as-a-Service platforms.
How to formulate ML problems that create value from data and that power predictive applications with innovative features.
“Great mix between lectures, hands-on work and Q&A.
Everyone in the team was really glad they came!”
— Nicolas Schwartz, Tech Lead at BlaBlaCar
PREREQUISITES
Experience in programming and with the command line
Attendees are expected to bring their own laptops for the
hands-on practical work
Basic knowledge of calculus, linear algebra, and probability
theory will be useful for Theory in Modules 2, 4, 5
TARGET AUDIENCE
This workshop is ideal for: Developers / Programmers / Software Engineers Technology Architects, Development Team Leads,
Data Analysts and IT Project Managers CTOs, CIOs and CSOs All of you who know programing and now
interested in learning how to use Machine Learning to make your Apps and Systems more intelligent and smart
WORKSHOP AGENDA
From industries including: Government/ Public Sector Technology Companies and Start-ups Banking and Finance Retail Aviation Telecommunication Manufacturing Healthcare Universities and Colleges
WORKSHOP FACILITATORS
Louis Dorard is General Chair of the PAPIs conferences, author
of Bootstrapping Machine Learning, and an independent
consultant. Louis holds a PhD in Machine Learning from
University College London.
“Louis is an excellent teacher and you can feel how knowledgeable and
passionate he is about this domain. I highly recommend this course!”
— Charles-Emmanuel Camus, Web Developer at Groupe Express-Roularta
Dr. Louis DorardGeneral Chair PAPIs
As a global data and analytics thought leader, Ali is collaborating with thinkers,
researchers, designers, makers, doers, and business leaders. He has more than
16 years of professional experience and success assisting public and
commercial organisations in using data analytics, insights and machine
intelligence as a value amplifier. He works with people to understand and
translate their aspirations into data and analytical solutions that enhance their
ability to make choices, better decisions, realise performance gains and
uncover opportunities. Before founding Persontyle, Ali worked with some of the
leading technology and consulting organisations of the world namely PwC,
KPMG BearingPoint, Sapient, EMC, UBS, NHS UK, and Capgemini.
Ali Syed Chief Data Scientist and StrategistPersontyle, UK and The School of Data Science, UK
WORKSHOP REGISTRATION
DELEGATE PACKAGES
All Inclusive
2 Day
Workshop
Early Bird
Register and Pay
before May 20, 2016 and save 20%
Standard
Pricing
US $ 998 US $ 1248
You can reserve your seat by registering online
or by emailing Natasha at [email protected]
or by calling us on +971 506024248
For more information about the workshop please
visit mldxb.eventbrite.com or contact our team
SPONSORSHIP AND PARTNERSHIP
Are you looking to showcase big data, data science and analytics
technologies and services in front of the professional industry
gathering? If the answer is yes, then get in touch!
To enquire about sponsoring and exhibiting, contact our team!
Email at [email protected]
or call us on +971 55 875 2588.
CONVINCE YOUR BOSS <RETURN ON INVESTMENT>
We all need to learn how to analyse data, find the value and glean insights. The adventof the data driven connected era means that analysing massive scale, messy, noisy, andunstructured data is going to increasingly form part of everyone's work. The School ofData Science learning programs provide a unique investment opportunity that pay’s foritself many times over.
For corporate bookings or to organize on-site training email [email protected] or call now +971 55 875 2588.
World-class Instructors
Develop Practical Data Science Skills
Real World Industry Use Cases
Short Courses For Time Convenience
Value For Money
Register Now
Limited seats. We encourage you to register as soon as you can.
"Machine Learning has created the greatest
business opportunity in history“
- Dr. Pedro Domingos
DATA SCIENCE MIDDLE EASTDIGITAL TALENT AND DATA LEADERSHIP DEVELOPMENT EDUCATION INITIATIVE.
Vision: Enabling data-driven digital Middle East
Data Science Middle East (DSME) has been started with the vision to create regional
collaboration on digital skills and data talent development that brings together
business and technology professionals, researchers, experts, practitioners, and
industry leaders to promote data science literacy, research and development through
open learning projects for digital literacy, capacity building, and community
engagements. We are looking forward to working with all of you to put data and
machine intelligence at the core of economic development and innovation with the aim
of building a sustainable Middle East.
For membership details, collaborations and industry partnership opportunities, please
email [email protected]
#DSME PARTNERS AND SPONSORS
Contact us:Nitesh Marwaha
Co-Founder & Chief Events OfficerEverati Events Management FZE
Phone: +971 558752588Email: [email protected]
Everati is a business and technology innovation media company specializing in
enterprise transformation. We bring our exceptional cross-industry knowledge to the
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We are dedicated to the enable enterprise innovation, digital leadership and talent
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