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COGNITIVE CLOUD
TRADING AND ARTIFICIAL INTELLIGENCE WORKSHOP
変通 [hen-tsoo]
noun
1. Resourcefulness - the quality of being able to cope with a difficult situation
2. Adaptability -the ability to change (or be changed) to fit changed circumstances
3. Agility - the power of moving quickly and easily; nimbleness
̶̶ Introduction to machine learning
Taxonomy
Application areas
Application to finance
̶̶ Demo of basic machine learning algorithms
Supervised learning: linear and kernel regression
Unsupervised learning: dimension reduction
̶̶ Advanced Demo
Factor selection
AGENDA
2
MACHINE LEARNING
3
̶̶ Supervised Learning
Find the connection between input data and their associated labels
̶̶ Unsupervised Learning
Discover the underlying structure given the input data
̶̶ Reinforcement Learning
Solving the problem of how to act for maximising rewards in an environment
TAXONOMY
4
̶̶ Classic Problem Setting
Classification
Regression
Learning to rank
̶̶ Some Applications
Object recognition from images
Speech recognition
SUPERVISED LEARNING
5
̶̶ Classic Problem Setting
Clustering
Dimension reduction
̶̶ Some Applications
Data visualisation
(Some) Recommendation system
UNSUPERVISED LEARNING
6
̶̶ Recognise an object from a photo
COMPUTERVISION
7
̶̶ Recognise an object from a sketch
COMPUTERVISION
8
̶̶ Face recognition
COMPUTERVISION
9
̶̶ Increase image resolution
COMPUTERVISION
̶̶ Turn a photo into art
10
COMPUTERVISION
̶̶ Generate images ̶̶ Lip reading
11
̶̶ Personal assistant: Siri, Cortana, Alexa, Google Now
NATURAL LANGUAGE PROCESSING
12
̶̶ Chat-bot (e.g.,AI customer service)
NATURAL LANGUAGE PROCESSING
13
̶̶ Automatic article summarising
NATURAL LANGUAGE PROCESSING
14
̶̶ Ordinary conversation
SPEECH RECOGNITION
15
̶̶ Recommendation system
WWW
16
̶̶ AlphaGO
ROBOTIC
̶̶ Playing computer games
17
̶̶ Lending: predict bad loans
APPLICATIONTO FINANCE
18
̶̶ Trading: AI-based algorithm trading
APPLICATIONTO FINANCE
19
̶̶ Monitoring: anomaly detection
APPLICATIONTO FINANCE
20
̶̶ Portfolio: stock selection
APPLICATIONTO FINANCE
21
Next Event: NewYork, June 2017
LONDON
1 Fore St
London, EC2Y 9DT
+44 203 857 1630
NEWYORK
450 Lexington Ave
NewYork, NY 10017
+1 315 257 4284
CONTACT US
hello@hentsu.com
22

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