Do not forget about the last few slots for the Quant Elite membership. This means you get immediate 10+ years archive plus 3 another years on what I do in the future. See the many benefits here as deep reinforcement learning. Some may start doubting machine learning techniques like Deep Learning or Deep Reinforcement Learning. …
DeepMind’s Loss and the Future of AI like deep reinforcement learning Read More »
After talking to the quant/HFT ‘Gods’ on my private chat server, I learned a couple of things of optimal machine learning: 1. Use mid range or near end of life GPU cards to get best deal when you build machine learning rigs 2. Use data from logs like a watchlist to determine easy input …
Build a super fast deep learning machine learning rig for under $1k Read More »
The tools for winners I have spoken about for month. This is all you need to know: But when it comes to APIs, all roads lead to Python – the clear API of choice for deep learning tool developers. Given these trends, and announcements around TensorFlow 2.0 that bring it parity with PyTorch, expect more …
Top Deep Learning Tools for Python Machine Learning Read More »
There are some very good tips on ensuring to use clear and established indutry data. It seems you also need to apply business definitions to the your models. You think this could be applied to enterprise wide strategy with these types? I think large High Frequency Trading shops like Sigma Two implement across their own …
Real-World trading Application of Deep Learning at Industrial Scale Read More »
As I am wanting to learn about machine learning in early 2019, I want to know a few things about your attack on it. 1. What programming language and framework are you using or learning? e.g. R vs Python, TensorFlow 1 or 2, PyTorch, SciKitLearn, etc 2. What resources are you using? e.g. which course …
Deep learning algorithmic trading? Machine learning? Read More »
If you are struggling to learn these popular machine learning concepts (eg neural networks), you may to check out this article below. It contains easy to consume chunks which include topics of: What is a Neuron? Step function Sigmoid Function Tanh Function ReLU Function Neural Networks Convolutional Neural Networks (CNN) Recurrent Neural Networks (RNN) https://towardsdatascience.com/understanding-neural-networks-from-neuron-to-rnn-cnn-and-deep-learning-cd88e90e0a90 …
Understand Neural Networks: neuron to RNN, CNN, and Deep Learning Read More »
It seems that deep learning has been questioned when it comes to financial modelling. A decent article came out from a WorldQuant. This Medium article covers how to improve your forecasting using both in and out samples. It also covers: 1. Return Prediction comparing ARIMA, VAR, Deep Regression, Convoluted Neural Networks, and Long Short Term …
Deep Learning in Finance: Most effective methods for returns and portfolio construction Read More »
A deep learning framework for financial time series using stacked autoencoders and long-short term memory Most accurate machine deep learning model type? This appears to use LSAM and SAE (long short term memory and stacked auto encoders) which appears to be more accurate than recurrent neural network (RNN). Do I sound like a machine learning …
Intro Deep Learning with Python, TensorFlow and Keras This looks like the best page to learn how to apply math to machine learning https://sandipanweb.wordpress.com/2017/11/25/some-deep-learning-with-python-tensorflow-and-keras/amp/ NOTE I now post my TRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don’t worry as I don’t post stupid cat videos or what I eat!
Deep learning for bond pricing This could be good for deep recessions unless the nut bars at ECB love those negative rates https://www.linkedin.com/pulse/deep-learning-neural-networks-bond-pricing-gaurav-singh/ NOTE I now post my TRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don’t worry as I don’t post stupid cat videos or what I eat!
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