GRADnet Machine learning and AI workshop
from
Wednesday 15 January 2020 (09:00)
to
Thursday 16 January 2020 (17:15)
Monday 13 January 2020
Tuesday 14 January 2020
Wednesday 15 January 2020
10:30
Break
Break
10:30 - 11:00
Room: LT
11:00
11:00 - 12:30
Room: LT
Contributions
11:00
Welcome and housekeeping
-
A Bevan
(
Queen Mary
)
11:10
Why is data wrangling important?
-
Nick Barlow
(
Alan Turing Institute
)
11:30
Data wrangling exercises
-
Nick Barlow
(
Alan Turing Institute
)
12:30
Lunch
Lunch
12:30 - 13:30
Room: LT
13:30
13:30 - 15:00
Room: LT
Contributions
13:30
Introduction to Python and TensorFlow (linear regression and neural network examples)
-
A Bevan
(
Queen Mary
)
JMM Davies
(
Queen Mary
)
Marcella Bona
(
QMUL
)
TP Charman
(
Queen Mary
)
15:00
Break
Break
15:00 - 15:30
Room: LT
15:30
Plenary
Plenary
15:30 - 17:00
Room: LT
Contributions
15:30
Reinforcement learning
-
A Pourtsidou
(
Queen Mary
)
16:15
Sci ML team @ RAL
-
Jeyan Thiyagalingam
(
STFC
)
18:00
Dinner
Dinner
18:00 - 20:00
Room: LT
Thursday 16 January 2020
09:00
09:00 - 10:30
Room: LT
Contributions
09:00
Linear regression, neural network model building, and decision trees (tutorial using SciKit Learn and Keras)
-
A Bevan
(
Queen Mary
)
JMM Davies
(
Queen Mary
)
Marcella Bona
(
QMUL
)
TP Charman
(
Queen Mary
)
10:30
Break
Break
10:30 - 11:00
Room: LT
11:00
11:00 - 12:30
Room: LT
Contributions
11:00
NNPDF - using neural networks to compute parton density functions
-
Maria Ubiali
(
DAMPT
)
11:45
ABBA - Automatically Building Better Algorithms.
-
John Woodward
(
QMUL
)
12:30
Lunch
Lunch
12:30 - 13:30
Room: LT
13:30
13:30 - 15:00
Room: LT
Contributions
13:30
SQL tutorial
-
A Pourtsidou
(
Queen Mary
)
14:15
Data in finance
-
Thomas Babbedge
(
Gresham Investment Management LLC
)
15:00
Break
Break
15:00 - 15:30
Room: LT
15:30
15:30 - 17:15
Room: LT
Contributions
15:30
Challenges of Machine Learning in Physics
-
A Bevan
(
Queen Mary
)
16:15
Machine Learning applied to neutrino physics
-
Sophie King
(
Kings College London
)