David Willingham

Last seen: Today | Con actividad desde 2016

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MathWorks Secures Silver in Chartis RiskTech AI 50 and Excels in Key Categories
We are proud to announce that MathWorks has been ranked second overall in the inaugural Chartis RiskTech AI 50, an...

7 días hace

Publicado

Accelerating Model Deployment in Financial Institutions with Automation
Today’s topic is one that’s really making waves in the financial world these days: speeding up the deployment of models...

14 días hace

Publicado

Highlights from the MathWorks Finance Conference 2024
The 2024 MathWorks Finance Conference brought together industry leaders to explore the evolving landscape of finance...

19 días hace

Publicado

A MATLAB Implementation of the DICE-2023 Model for Climate-Economic Analysis
The DICE (Dynamic Integrated model of Climate and the Economy) model has been a cornerstone for understanding the intricate...

26 días hace

Publicado

Trading Analysis in MATLAB using Python DataFrames
The following blog was written by Sara Galante, Senior Finance Application Engineer at Mathworks. The GitHub documentation...

alrededor de 1 mes hace

Publicado

Modeling Carbon Emissions: An Econometric Approach
In a recent webinar hosted by MathWorks, we were joined by Andy Cates, a senior economist at Haver Analytics, one of our...

2 meses hace

Publicado

Deep Learning in Quantitative Finance: Multiagent Reinforcement Learning for Financial Trading
The following blog was written by Adam Peters, Software Engineer at Mathworks. Download the code for this example from...

7 meses hace

Publicado

Key Insights from our Executive Panel Discussion: Addressing Climate Risk through effective Stress Testing, Reporting, and Governance
Background In the rapidly evolving landscape of financial risk management, addressing climate risk has emerged as a...

8 meses hace

Enviada

MATLAB Deep Learning Model Hub
Discover pretrained models for deep learning in MATLAB

8 meses hace | 14 descargas |

Publicado

MATLAB Portfolio Backtesting – A new app now on GitHub!
The following blog was written by Sara Galante, Senior Finance Application Engineer at Mathworks. MathWorks has a new...

9 meses hace

Publicado

Top MATLAB Quantitative Finance Resources now on GitHub
The following blog was written by Sara Galante, Senior Finance Application Engineer at Mathworks. MathWorks now has a...

9 meses hace

Publicado

Model Monitoring and Drift Detection with Modelscape
MathWorks recently hosted a webinar on Model Monitoring and Drift Detection, where Paul Peeling presented strategies for...

9 meses hace

Publicado

Deep Learning in Quantitative Finance: Transformer Networks for Time Series Prediction
The following blog was written by Owen Lloyd , a Penn State graduate who recently join the MathWorks Engineering...

10 meses hace

Publicado

Climate Risk in Finance: Insights from Our Comprehensive Executive Panel Discussion
The following blog was written by Arpit Narain from the MathWorks Finance team. 1. Introduction In today’s financial...

11 meses hace

Publicado

Managing and Fine-Tuning Portfolio Optimization Workflows with Experiment Manager
The following blog was written by Sara Galante, Senior Finance Application Engineer at Mathworks. The code used to develop...

alrededor de 1 año hace

Publicado

The Path to Carbon Neutrality: A Time Series Approach
The following blog was written by Leslie Zhang, a Northeastern graduate who recently joined MathWorks Engineering...

alrededor de 1 año hace

Publicado

Time Series Analysis of Trends in Global Carbon Emissions from Fossil Fuels
The following post is from Hang Qian, Software Developer on the Econometrics Toolbox Team. Global carbon emissions have...

alrededor de 1 año hace

Publicado

MathWorks Finance Conference 2023
It’s my pleasure to give everyone a sneak peek into the upcoming MathWorks Finance 2023 conference, which will be held...

alrededor de 1 año hace

Publicado

Reinforcement Learning as your portfolio advisor
The following post is from Ian Chie, Bowen Fang, Botao Zhang and Yichen Yao from Columbia University. Inspiration Let’s say...

más de 1 año hace

Publicado

Quantum Computing for Optimizing Investment Portfolios
The following post is from Sofia Ma, Senior Engineer for Finance Quantum computing is a cutting-edge field of study that...

más de 1 año hace

Publicado

The evolution of Quantitative Finance in MATLAB (What’s New)
Hi Everyone, I would like to welcome you to our new blog on Quantitative Finance. To kick things off, I’d like to give an...

más de 1 año hace

Respondida
exportNetworkToTensorFlow is not recognized as a function, despite addon is installed
Hi Karol, exportNetworkToTensorFlow came out in R2022b. Was this the release you tried it in originally? If so, maybe the pref...

casi 2 años hace | 0

| aceptada

Respondida
Matlab R2022a: Are all prediction models available in Matlab?
Genetic Algorithms are available in the Global Optimization Toolbox.

casi 2 años hace | 2

Respondida
Is there a fix for trainAutoencoder with GPU speedup that crashes with single precision inputs (OK on double precision inputs)
Hi Kyle, There isn't single precision support for GPU with trainAutoencoder. It's an older implementation of autoencoders. I...

alrededor de 2 años hace | 0

Respondida
Can I call the neural network trained in *. mat in Python through the matlab API?
There is a good example that shows how to call MATLAB from Python for deep learning on Github: coexecution_speech_command See ...

alrededor de 2 años hace | 0

Respondida
training MLP by learning from PID controller
Hi, Firstly, you may need to train a model that type includes state information, i.e.LSTM. I would recommend trying a LSTM ne...

alrededor de 2 años hace | 0

Respondida
Using a python trained neural network
Hi Sania, I would recommend saving the model in the TensorFlow saved model format and then import it via the TensorFlow convert...

alrededor de 2 años hace | 0

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Respondida
What is the coffee machine in the Mathworks Lakeside Campus?
There are several coffee options available at MathWorks right now. Do you have any recollection of how the machine looked or wor...

alrededor de 2 años hace | 1

| aceptada

Respondida
Importing Trained Tensorflow/Keras LSTM network into MATLAB
Hi, To use importTensorflowNetwork, you'll first need to convert the model into the SavedModel format in Tensorflow. Here is an...

alrededor de 2 años hace | 0

Respondida
train a deep learning model (resnet-50 network) on a remote HPC cluster
Just to confirm, you're sending batch jobs to a HPC cluster that has MATLAB parallel server installed? If so, one option to try...

alrededor de 2 años hace | 0

| aceptada

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David Willingham

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