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QU Winter School 2021 Kickoff
+
10 things about ML you need to know in 2021
2021 Copyright QuantUniversity LLC.
Presented By:
Sri Krishnamurthy, CFA, CAP
sri@quantuniversity.com
www.quantuniversity.com
Jan 27th 2021
2
Speaker bio
• Advisory and Consultancy for Financial
Analytics
• Prior Experience at MathWorks, Citigroup
and Endeca and 25+ financial services and
energy customers.
• Columnist for the Wilmott Magazine
• Author of forthcoming book
“ML in Finance: A pragmatic approach”
• Teaches AI/ML and Fintech Related topics in
the MS and MBA programs at Northeastern
University, Boston
• Reviewer: Journal of Asset Management
Sri Krishnamurthy
Founder and CEO
QuantUniversity
3
QuantUniversity
• Boston-based Data Science, Quant
Finance and Machine Learning
training and consulting advisory
• Trained more than 1000 students in
Quantitative methods, Data Science
and Big Data Technologies using
MATLAB, Python and R
• Building a platform for AI
and Machine Learning Audit and
Experimentation
1. Winter school 2021
2. Key trends in AI, Machine Learning & Fintech
3. 10 things you need to know in 2021
4. Demos
Agenda
QuantUniversity Winter School 2021
6
• Summer School 2020
Recap 2020
7
• Fall School 2020
Recap 2020
8
• 13+ countries
• 2400+ participants!
• Participants from FED, PWC, Goldman Sachs, OCC, E&Y, Deloitte, Genpact, BNP-
Paribas, Fidelity, State Street, Discover, Charles Schwab, etc. etc.
• Participant profile:
▫ Data Scientists
▫ Quants
▫ Risk Managers
▫ Consultants
▫ Regulators
▫ Students
Some numbers!
https://quwinterschool.splashthat.com/
10
Guest speakers
11
12
Visit us at
www.quantuniversity.com to
know more!
• Use Code “QuAffiliate” for a
$100 off all courses
Join us!
AI and Machine Learning in Finance
14
The 4th Industrial revolution is Here!
Source: Christoph Roser at AllAboutLean.com
As per Wikipedia*, “The 4th Industrial Revolution ….. marked by emerging technology breakthroughs in a
number of fields, including robotics, artificial intelligence, nanotechnology, quantum computing, biotechnology,
the Internet of Things, the Industrial Internet of Things (IIoT), decentralized consensus, fifth-generation wireless
technologies (5G), additive manufacturing/3D printing and fully autonomous vehicles.”
* https://en.wikipedia.org/wiki/Fourth_Industrial_Revolution
15
Scientists are disrupting the way we live!
Source: https://www.ladn.eu/tech-a-suivre/mobilite-2030-vehicules-volants-open-data/
16
Interest in Machine learning continues to grow
https://www.wipo.int/edocs/pubdocs/en/wipo_pub_1055.pdf
17
MACHINE LEARNING AND AI IS REVOLUTIONIZING FINANCE
18
• Machine learning is the scientific study of algorithms and statistical
models that computer systems use to effectively perform a specific task
without using explicit instructions, relying on patterns and inference
instead1
• Artificial intelligence is intelligence demonstrated by machines, in
contrast to the natural intelligence displayed by humans and animals1
Defining Machine Learning and AI
18
1. https://en.wikipedia.org/wiki/Machine_learning
2. Figure Source: http://www.fsb.org/wp-content/uploads/P011117.pdf
19
https://www.federalreserve.gov/supervisionreg/srletters/sr
1107a1.pdf
Source:
A model consists of three components:
an information input component, which
delivers assumptions and data to the model;
a processing component, which transforms
inputs into estimates;
a reporting component, which translates the
estimates into useful business information
https://landscape.lfai.foundation/
21
Machine Learning & AI in finance: A paradigm shift
21
Stochastic
Models
Factor Models
Optimization
Risk Factors
P/Q Quants
Derivative pricing
Trading Strategies
Simulations
Distribution
fitting
Quant
Real-time analytics
Predictive analytics
Machine Learning
RPA
NLP
Deep Learning
Computer Vision
Graph Analytics
Chatbots
Sentiment Analysis
Alternative Data
Data Scientist
22
The Virtuous Circle of
Machine Learning and AI
22
Smart
Algorithms
Hardware
Data
23
The rise of Big Data and Data Science
23
Image Source: http://www.ibmbigdatahub.com/sites/default/files/infographic_file/4-Vs-of-big-data.jpg
24
Smart Algorithms
24
Distributing Computing Frameworks Deep Learning Frameworks
1. Our labeled datasets were thousands of times too
small.
2. Our computers were millions of times too slow.
3. We initialized the weights in a stupid way.
4. We used the wrong type of non-linearity.
- Geoff Hinton
“Capital One was able to determine fraudulent credit
card applications in 100 milliseconds”*
* http://go.databricks.com/hubfs/pdfs/Databricks-for-FinTech-170306.pdf
25
Hardware
Speed up calculations with
1000s of processors
Scale computations with
infinite compute power
26
“Financial Technologies or “Fintech” is used to describe
a variety of
innovative business models
and
emerging technologies
that have the potential to transform the financial
services industry ”
Technology drives finance!
https://www.iosco.org/library/pubdocs/pdf/IOSCOPD554.pdf
27
http://www.analyticscertificate.com/fintech/
28
http://www.analyticscertificate.com/fintech/
29
http://www.analyticscertificate.com/fintech/
30
http://www.analyticscertificate.com/fintech/
31
Source: https://www.cbinsights.com/research/artificial-intelligence-top-startups/
Machine Learning in Finance: 10 Things You Need to Know in 2021
Machine Learning in Finance: 10 Things You Need to Know in 2021
Machine Learning Workflow
Data Scraping/
Ingestion
Data
Exploration
Data Cleansing
and Processing
Feature
Engineering
Model
Evaluation
& Tuning
Model
Selection
Model
Deployment/
Inference
Supervised
Unsupervised
Modeling
Data Engineer, Dev Ops Engineer
Data Scientist/Quants
Software/Web Engineer
• AutoML
• Model Validation
• Interpretability
Robotic Process Automation (RPA) (Microservices, Pipelines )
• SW: Web/ Rest API
• HW: GPU, Cloud
• Monitoring
• Regression
• KNN
• Decision Trees
• Naive Bayes
• Neural Networks
• Ensembles
• Clustering
• PCA
• Autoencoder
• RMS
• MAPS
• MAE
• Confusion Matrix
• Precision/Recall
• ROC
• Hyper-parameter
tuning
• Parameter Grids
Risk Management/ Compliance(All stages)
Analysts
&
Decision
Makers
Machine Learning in Finance: 10 Things You Need to Know in 2021
36
http://www.asimovinstitute.org/neural-network-zoo/
Machine Learning in Finance: 10 Things You Need to Know in 2021
Machine Learning in Finance: 10 Things You Need to Know in 2021
Machine Learning in Finance: 10 Things You Need to Know in 2021
40
Machine Learning in Finance: 10 Things You Need to Know in 2021
42
Machine Learning in Finance: 10 Things You Need to Know in 2021
44
Race to the cloud
Machine Learning in Finance: 10 Things You Need to Know in 2021
46
ML as a service
Machine Learning in Finance: 10 Things You Need to Know in 2021
48
AutoML ecosystem grows
48
Machine Learning in Finance: 10 Things You Need to Know in 2021
50
Heated discussions on AI-Bias, Fairness, Ethics
50
51
Regulation is coming!
51
https://www.housingwire.com/articles/fed-considers-
regulating-ai-used-by-financial-institutions/
Machine Learning in Finance: 10 Things You Need to Know in 2021
53
54
55
Synthetic VIX generation
Extreme scenario generation
56
To try the QuSandbox and QuSynthesize or any of
the other demos,
Email us at info@qusandbox.com
56
https://quwinterschool.splashthat.com/
Thank you!
Sri Krishnamurthy, CFA, CAP
Founder and CEO
QuantUniversity LLC.
srikrishnamurthy
www.QuantUniversity.com
Contact
Information, data and drawings embodied in this presentation are strictly a property of QuantUniversity LLC. and shall not be
distributed or used in any other publication without the prior written consent of QuantUniversity LLC.
58

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