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Navigation Menu
Navigation Menu
Homepage
Magazine
Moodle
Wiki
Education
Graduate Training Programmes
Schools
The First Thalesian Full-Day Workshop: GPUs in Finance
The First Thalesian Intensive School in ML/AI
The Second Thalesian Intensive School in ML/AI
The Third Thalesian Intensive School in ML/AI
Certificate Programmes
Courses
Python (foundations)
The fundamentals of the Python programming language and Jupyter notebooks (without solutions)
Python libraries for working with data (without solutions)
Visualisation (without solutions)
The fundamentals of the Python programming language and Jupyter notebooks (with solutions)
Python libraries for working with data (with solutions)
Visualisation (with solutions)
Big Data and High-Frequency Data with kdb+/q
Seminars
Consulting
Work
News
Resources
Books
Videos
Datasets
Slides
Videos
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Shop
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Presentation and lecture
Videos
Industry-leading content
(For our upcoming events information, please visit our MeetUp page - https://www.meetup.com/thalesians/)
Video Gallery
1:20
Michael Kearns – Differentially Private Call Auctions and Market Impact
1:33
Ira Baxter: Automated transformation for software (re)engineering using DMS
1:23
Jan W. Dash – Climate Change: Opportunity and Risk
1:03
Agatha Murgoci: Time Inconsistent Optimal Control in Finance
0:39
Andrea Barbon: Gamma Fragility
1:08
Alec Schmidt: Diversifying Mean-Variance Portfolio: Physics vs Maths
1:23
Olga Petrova: Introduction to Transformers for NLP
1:17
MLI Seminar: David Foster: DALL.E 2: Text-to-image generation
1:02
Irene Aldridge: Noise Dynamics in Big Data Inference
1:11
Uwe Wystup: Mixed Local Volatility Models for FX Derivatives
0:45
Masaaki Fukasawa: Volatility has to be rough
1:35
Piotr Karasinski: Random Walk from Physics to Finance
1:34
Rob Carver: Risk targeting: Infinity war
1:23
Lee, Munoz Constantine & Pervushyna: ML with MlFinLab Python library
1:21
Panel: Alexander Denev and Saeed Amen: The Book of Alternative Data
1:02
Jens Nordvig: Forecasting the dollar using capital flow data
1:12
Viral Shah & Matt Bauman: High performance fin. computing with JuliaHub
1:25
Thalesians / KX Webinar: Ryan Siegler: GenAI, RAG & Vector Databases
1:15
Thomas Spooner: Market Making, Reinforcement Learning, and Uncertainty
1:35
Yves Hilpisch: RL: From Games to Intraday Algorithmic Trading
1:07
Jesper Andreasen (Kwant Daddy): Next Generation Local Volatility
3:03
The Hudson & Thames / Thalesians Evening Conference on Algorithmic Trading & Machine Learning
1:14
Marek Capinski: Three stories on mathematical finance
0:55
QDC Seminar: Saeed Amen: Visualisation for financial markets in Python
1:22
Jay Cao, Jacky Chen, John Hull, Zissis Poulos: Deep Hedging Using RL
0:59
Grady Booch: Software Architecture for AI-intensive Systems
1:14
Blanka Horvath: A Data-driven Market Simulator
2:12
Daniel Duffy: Some Perspectives on Computational Finance and ML
1:29
Thomas Wiecki: Bayesian Portfolio Allocation
1:06
Ernest Chan: Tail Hedging in the Age of Machine Learning
1:23
Luigi Ballabio: A Short Introduction to QuantLib
1:30
Christina Qi: Starting a Modern Hedge Fund