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David Willingham

Last seen: Today Attivo dal 2016

Followers: 2   Following: 0

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Pubblicato


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

circa 15 ore fa

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Pubblicato


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...

circa un mese fa

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Inviato


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

circa 2 mesi fa | 10 download |

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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...

2 mesi fa

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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...

3 mesi fa

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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...

3 mesi fa

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Pubblicato


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...

4 mesi fa

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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...

4 mesi fa

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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...

6 mesi fa

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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...

7 mesi fa

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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...

7 mesi fa

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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...

8 mesi fa

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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...

9 mesi fa

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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...

10 mesi fa

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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...

12 mesi fa

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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...

oltre un anno fa | 0

| accettato

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

oltre un anno 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...

oltre un anno 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 ...

oltre un anno fa | 0

Risposto
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...

oltre un anno fa | 0

Risposto
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...

oltre un anno fa | 0

| accettato

Risposto
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...

oltre un anno 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...

oltre un anno 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...

oltre un anno fa | 0

| accettato

Risposto
How to pass neural network model as handle for GUI - it always says can't identify!
I believe it should be: handles.Minist_LeNet5 = Minist_LeNet5;

oltre un anno fa | 0

Risposto
Bayesian Deep Learning Convolution Network(BDL)?
This is supported as of R2022b. See this example for more details: Train Bayesian Neural Network

oltre un anno fa | 0

Risposto
MATLAB API for web
You may not need to have MATLAB act as a server. For example, you could deploy the model you want as a microservice, which you c...

oltre un anno fa | 2

| accettato

Risposto
convert matlab neural network to onnx
Hi, is it possible to share the model you're looking to export?

oltre un anno fa | 0

| accettato

Risposto
BERT:how to change the output feature?
Can you explain why you would like to change the output to 300?

oltre un anno fa | 0

Risposto
What's the difference between dlnetwork and DAGNetwork about deep learning?
DAGNetwork was the object created when the Deep Learning Toolbox first started supporting CNNs and LSTMs. A few years after dlne...

oltre un anno fa | 1

| accettato

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