PyQuant News 🐍
PyQuant News 🐍

@pyquantnews

11 Tweets 4 reads Feb 15, 2023
7 powerful machine learning techniques everyone should know (with links to Python code):
pyGAM: Getting Started with Generalized Additive Models in Python
Generalized additive models provide a modeling approach that combines powerful statistical learning with interpretability, smooth functions, and flexibility.
codeburst.io
Neural Style Transfer in Python
Neural Style Transfer (NST) is one of the most fun techniques in deep learning which it merges two images.
sandipanweb.wordpress.com
Creating REST API for TensorFlow Models
Step-by-step guide to build a REST API in Flask to host your TensorFlow models.
becominghuman.ai
TensorFlow Neural Network Tutorial
This post walks through the installation, basic low-level components, and building a feed-forward neural network from scratch to perform learning on a real dataset.
stackabuse.com
Extract A Feature Vector For Any Image With PyTorch
In this tutorial we will convert images to vectors, and test the quality of our vectors with cosine similarity.
becominghuman.ai
How To Unit Test Machine Learning Code
Walking through how to unit test machine learning code - a vital skill for any practitioner.
@keeper6928/how-to-unit-test-machine-learning-code-57cf6fd81765" target="_blank" rel="noopener" onclick="event.stopPropagation()">medium.com
Horovod: Distributed Deep Learning Framework for TensorFlow
In this article, we pull back the curtain on Horovod, which makes it easier to start - and speed up - distributed deep learning projects with TensorFlow.
eng.uber.com
If you're a data scientist, machine learning engineer or data analyst, you need the best tools available.
Use Python directly with SQL to supercharge your analysis.
Find out how:
pyquantnews.com
And you enjoyed this thread, here's 2 final things for you.
• Follow @pyquantnews for more resources on quantitative finance, trading and data science
• RT the tweet below to share this thread with your audience
A structured experience with the right steps to save time and apply what you learn.
Go from beginner to up and running with Python in 30 days.
• Community
• Live sessions
• Special guests
• Code templates
Enrollment is open (with limited spots).
gettingstartedwithpythonforquantfinance.com

Loading suggestions...