Computational finance

What is Quantum Machine Learning?

Generative machine learning is the field of ML that focuses on generating data. If you've seen any of the realistic-looking faces on pages such as www.thispersondoesnotexist.com or www.whichfaceisreal.com, you've seen generative machine learning in action. Quantum computing is a rapidly ad

From playlist Fundamentals of Machine Learning

Optimal transport for machine learning - Gabriel Peyre, Ecole Normale Superieure

This workshop - organised under the auspices of the Isaac Newton Institute on “Approximation, sampling and compression in data science” — brings together leading researchers in the general fields of mathematics, statistics, computer science and engineering. About the event The workshop ai

From playlist Mathematics of data: Structured representations for sensing, approximation and learning

Machine Learning

If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.

From playlist Machine Learning

Lower Bound on Complexity - Intro to Algorithms

This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.

From playlist Introduction to Algorithms

11b Machine Learning: Computational Complexity

Short lecture on the concept of computational complexity.

From playlist Machine Learning

What Is Quantum Computing | Quantum Computing Explained | Quantum Computer | #Shorts | Simplilearn

🔥Explore Our Free Courses With Completion Certificate by SkillUp: https://www.simplilearn.com/skillup-free-online-courses?utm_campaign=QuantumComputingShorts&utm_medium=ShortsDescription&utm_source=youtube Quantum computing is a branch of computing that focuses on developing computer tech

From playlist #Shorts | #Simplilearn

Deep dictionary learning approaches for image super-resolution - Pier Luigi Dragotti, Imperial

This workshop - organised under the auspices of the Isaac Newton Institute on “Approximation, sampling and compression in data science” — brings together leading researchers in the general fields of mathematics, statistics, computer science and engineering. About the event The workshop ai

From playlist Mathematics of data: Structured representations for sensing, approximation and learning

The mother of all representer theorems for inverse problems & machine learning - Michael Unser

This workshop - organised under the auspices of the Isaac Newton Institute on “Approximation, sampling and compression in data science” — brings together leading researchers in the general fields of mathematics, statistics, computer science and engineering. About the event The workshop ai

From playlist Mathematics of data: Structured representations for sensing, approximation and learning

The Computer Chronicles - Personal Finance Software (1985)

Keeping track of your finances has been a staple of households throughout time, but with new improvements in personal finance software, this task is easier than ever. Special thanks to archive.org for hosting these episodes. Downloads of all these episodes and more can be found at: http:/

From playlist The Computer Chronicles 1985 Episodes

Jonathan Weare (DDMCS@Turing): Stratification for Markov Chain Monte Carlo

Complex models in all areas of science and engineering, and in the social sciences, must be reduced to a relatively small number of variables for practical computation and accurate prediction. In general, it is difficult to identify and parameterize the crucial features that must be incorp

From playlist Data driven modelling of complex systems

1. Introduction for 15.S12 Blockchain and Money, Fall 2018

MIT 15.S12 Blockchain and Money, Fall 2018 Instructor: Prof. Gary Gensler View the complete course: https://ocw.mit.edu/15-S12F18 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63UUkfL0onkxF6MYgVa04Fn This lecture provides an introduction to the course and to blockchai

From playlist MIT 15.S12 Blockchain and Money, Fall 2018

Getting Financial Predictions Right

From the November 1st, 2017 Human AI Collaboration: A Dynamic Frontier Conference; David Bailey, Leading Figure, High-performance Scientific Computing and Computational Mathematics looks at... 1. AI and other software tools are being utilized extensively in the world of finance. 2. Howeve

From playlist Human AI Collaboration: A Dynamic Frontier Conference

Enhancing Hands-on Learning Using Mathematica

Ramesh Adhikari

From playlist Wolfram Technology Conference 2019

2018 Career Trajectories Panel Discussion: Opportunities for Physicists in Finance and Data

What can you do with a Physics degree? Plenty! Find out more about career paths in and outside of academia at Perimeter's Career Trajectories page: https://perimeterinstitute.ca/training/trajectories-careers-physicists Amir Feizpour, Royal Bank of Canada Rene Stock, Scotiabank Moderated b

From playlist Career Trajectories -- Where Physics Can Take You

Class 4: Open APIs & Marketing Channels

MIT 15.S08 FinTech: Shaping the Financial World, Spring 2020 Instructor: Prof. Gary Gensler View the complete course: https://ocw.mit.edu/15-S08S20 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP61Q_RVDn6srWbLV_zFnd9n0 In this video, Prof. Gensler leads a discussion on

From playlist MIT 15.S08 FinTech: Shaping the Financial World, Spring 2020

[See Description] Programming for Finance with Python and Quantopian and Zipline Part 1

UPDATED series: https://pythonprogramming.net/quantopian-trading-strategies-introduction-python-programming-for-finance/ This series has become outdated with Quantopian 2.0. What is going on welcome to a python for finance tutorial video. Just to clarify right out of the gate, a lot of

From playlist Python for Finance with Zipline and Quantopian

The Computer Chronicles - Personal Finance Software (1996)

Special thanks to archive.org for hosting these episodes. Downloads of all these episodes and more can be found at: http://archive.org/details/computerchronicles

From playlist Computer Chronicles Episodes on Software

Prospect Theory and Stock Market Anomalies - L. Jin - 1/31/2020

"Prospect Theory and Stock Market Anomalies" Lawrence Jin, Assistant Professor of Finance, Caltech Abstract: This talk discusses some recent development in the field of behavioral finance, with a focus on a new model of asset prices in which investors evaluate risk according to prospect t

From playlist HSS Caltech + Finance 2020

SketchySVD - Joel Tropp, California Institute of Technology

This workshop - organised under the auspices of the Isaac Newton Institute on “Approximation, sampling and compression in data science” — brings together leading researchers in the general fields of mathematics, statistics, computer science and engineering. About the event The workshop ai

From playlist Mathematics of data: Structured representations for sensing, approximation and learning

Kohei Tanaka (10/20/22): Sectional category for maps of finite spaces

We consider the sectional category of a map between finite T_0 spaces (posets) from a combinatorial viewpoint. We compute some examples of the sectional category (or number) for the McCord map, the weak homotopy equivalence on the barycentric subdivision, and the Fadell-Neuwirth fibration

From playlist Topological Complexity Seminar