Machine Learning School in Doha

November 4-5, 2018, Doha, Qatar

BigML and the Qatar Computing Research Institute (QCRI), part of Hamad Bin Khalifa University, bring the first edition of our Machine Learning School to Doha, the MLSD18. This event will be one of the first activities to be hosted by QCRI's new Qatar Center for Artificial Intelligence (QCAI). QCAI's mission is to help Qatar realize its vision of becoming a knowledge-based economy by developing and promoting cutting-edge AI innovations for the betterment of human society.

We will hold a two-day crash course ideal for business leaders, industry practitioners, developers, graduate students, as well as advanced undergraduates, seeking a quick, practical, and hands-on introduction to Machine Learning to solve real-world problems. The MLSD18 will help attendees to understand how to work in this new wave of innovation that is changing the face of all sectors of the economy. The Machine Learning School will serve as a good introduction to the kind of work that students can expect if they enroll in advanced Machine Learning masters.

Comment about the Machine Learning School using #MLSD18


José Antonio Ortega (jao), Ph.D.

Co-Founder, Hacker at Large, and CTO at BigML

Poul Petersen, M.Sc.

Chief Infrastructure Officer at BigML

Greg Antell, Ph.D.

Product Manager and Machine Learning Architect at BigML

Sanjay Chawla, Ph.D.

Research Director at QCRI

Saravanan Thirumuruganathan, Ph.D.

Scientist at QCRI

Mourad Ouzzani, Ph.D.

Principal Scientist at QCRI

Schedule of Lectures

The goal of this Machine Learning School is to introduce basic as well as more advanced Machine Learning concepts and techniques that will help you boost your productivity significantly. All lectures will take place at Marriott Marquis City Center Doha Hotel (Al Areen Hall 4-6, 1st floor), from 8:00 AM to 6:30 PM AST during November 4 and 5, 2018.

Day 1

08:00 AM - 08:30 AM
Registration, Coffee, and Networking
08:30 AM - 08:45 AM
Opening Remarks
by Maria Jesús Alonso (BigML) and Sanjay Chawla (QCRI)
08:45 AM - 09:15 AM
End-to-End Machine Learning
by Poul Petersen (BigML) Slides
09:15 AM - 10:45 AM
Data Profiling, Data Cleaning, and Error Detection Data Extraction
by Saravanan Thirumuruganathan (QCRI) Slides
10:45 AM - 11:15 AM
Coffee Break and Networking
11:15 AM - 12:15 PM
Basic Transformations
by Poul Petersen (BigML) and Saravanan Thirumuruganathan (QCRI) Slides Slides
12:15 PM - 12:45 PM
Real-World Use Case #1: Preparing your Data for Machine Learning
by Poul Petersen (BigML) Slides
12:45 PM - 01:00 PM
Summary of Morning Sessions
by Saravanan Thirumuruganathan (QCRI) Slides
01:00 PM - 02:00 PM
Lunch and Networking
02:00 PM - 03:00 PM
Clusters and Anomaly Detection
by Sanjay Chawla (QCRI) Slides
03:00 PM - 03:30 PM
Association Discovery and Latent Dirichlet Allocation
by Sanjay Chawla (QCRI) Slides
03:30 PM - 04:00 PM
Coffee Break and Networking
04:00 PM - 04:15 PM
Summary of Afternoon Sessions
by Sanjay Chawla (QCRI)
04:15 PM - 05:30 PM
Practical Workshop: Building your own Unsupervised Models
by Gregory Antell (BigML) Slides
05:30 PM - 06:00 PM
Real-World Use Case #2
by Poul Petersen (BigML) Slides

Day 2

08:00 AM - 08:30 AM
Coffee and Networking
08:30 AM - 09:30 AM
Feature Engineering and Dataset Creation
by Poul Petersen (BigML) Slides
09:30 AM - 10:30 AM
Models and Evaluations
by Gregory Antell (BigML) Slides
10:30 AM - 11:00 AM
Coffee Break and Networking
11:00 AM - 12:00 PM
Ensembles, Logistic Regression, and Deepnets
by Gregory Antell (BigML) Slides
12:00 PM - 12:45 PM
OptiML and Fusions
by Gregory Antell (BigML) Slides
12:45 PM - 02:00 PM
Lunch and Networking
02:00 PM - 02:15 PM
Summary of Morning Sessions
by Gregory Antell (BigML) Slides
02:15 PM - 03:00 PM
Practical Workshop: Building your own Supervised Models
by Gregory Antell (BigML) Slides
03:00 PM - 04:00 PM
REST API, Bindings, and Basic Workflows with WhizzML
by jao (BigML) Slides
04:00 PM - 04:30 PM
Coffee Break and Networking
04:30 PM - 05:30 PM
Advanced Workflows: Feature Selection, Boosting, Gradient Descent, and Stacking
by jao (BigML) Slides
05:30 PM - 05:45 PM
Summary of Afternoon Sessions
by jao (BigML)
05:45 PM - 06:30 PM
Cutting-edge Research in the Machine Learning Field
by Mourad Ouzzani (QCRI) Slides
06:30 PM - 06:45 PM
Closing Remarks
by Mourad Ouzzani (QCRI)
06:45 PM - 07:30 PM
Meeting the Speakers


Marriott Marquis City Center Doha Hotel
(Al Areen Hall 4-6, 1st floor)
Omar Al Mukhtar Street, Area 61, Al Dafna, Street #850,
Doha, Qatar.

How to Arrive

From West Bay 10 min. approx. (walk)
From Downtown 15 min approx. (drive)
From Doha International Airport 30 min approx. (drive)


Premier Inn Doha Education City Hotel

Single / Double: QR 210
Single with breakfast: QR 250
Single with breakfast and dinner: QR 320
Double with breakfast: QR 290
Please book your room here to receive the discount for the MLSD18 attendees. There is no need to add any code.

Co-organized and powered by:

Qatar Computing Research Institute