David Willingham

Last seen: 11 giorni fa | Attivo dal 2016

Followers: 4 Following: 0

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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...

circa un mese fa

Pubblicato

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...

circa un mese fa

Pubblicato

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

circa 2 mesi fa

Pubblicato

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...

circa 2 mesi fa

Pubblicato

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

2 mesi fa

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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...

3 mesi fa

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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...

8 mesi fa

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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...

9 mesi fa

Inviato

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

9 mesi fa | 15 download |

Pubblicato

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...

10 mesi fa

Pubblicato

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...

10 mesi fa

Pubblicato

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

10 mesi fa

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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...

11 mesi fa

Pubblicato

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...

12 mesi fa

Pubblicato

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...

circa un anno fa

Pubblicato

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...

circa un anno fa

Pubblicato

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...

circa un anno fa

Pubblicato

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...

oltre un anno fa

Pubblicato

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...

oltre un anno fa

Pubblicato

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...

oltre un anno fa

Pubblicato

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...

oltre un anno fa

Risposto
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...

quasi 2 anni fa | 0

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

circa 2 anni fa | 2

Risposto
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...

circa 2 anni fa | 0

Risposto
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 ...

circa 2 anni fa | 0

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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...

circa 2 anni fa | 0

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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...

circa 2 anni fa | 0

| accettato

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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...

circa 2 anni fa | 1

| accettato

Risposto
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...

circa 2 anni fa | 0

Risposto
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...

circa 2 anni fa | 0

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