Newsletter #2: Machine Learning Anti-patterns, EfficientNet, Github's Actions, Decision Tree and More
Hello there,
It's a challenging moment for everyone on our planet as we learn how to adapt to the "new normal". Amid #stayhome🏠, here are the top links I thought were worth sharing with you this month.
Machine Learning Systems Anti-patterns
Anti-patterns are counterproductive, and you should avoid them at all costs. This paper explains anti-patterns in machine learning systems you should watch out for.
Training EfficientNet
Last month, Google open-sourced EfficientNet, a state-of-the-art object detection tool that is more performant than YOLO. On Google's blog, this tutorial shows you how to train EfficientNet on Cloud TPU.
Automate Machine Learning Workflows with Github's Actions
I recently started working with Github's actions, and I think they're cool. It's even cooler when you can automate your machine learning workflows with Github's actions. Hamel, a Machine Learning Engineer at Github shows how to automate machine learning workflows with Github's actions on youtube.
10 state-of-the-art Image Classification Papers
If you're working on an image classification problem, you will find these top papers on image classification useful.
Standford University Deep Learning Courses
Do you know Standford University made some of her deep learning courses available for free on youtube? You can find them here.
Scalyr's 1000 Performance Breakthroughs
How do you optimize a system by a factor of 100, when you already built it the best you knew how? This is a question we all face at a point in time. See how Scalyr's scale from 1GB/s to 1PB/day and beyond.
Understanding Decision Tree
Decision tree has applications spanning a number of areas in supervised learning. On HackerEarth's blog, there's an excellent blog on what a decision tree is and how.
Introduction to Natural Language Processing
If you're starting to study natural language processing, this excellent introduction from Vibhor Nigam is where to begin.
Introducing Hubofml.com
I'm especially glad to share this one with you. My goal for hubofml has always been to help people get into machine learning by collating high-quality resources vetted by humans in one place. I'm glad to let you know that hubofml now has a website dedicated to machine learning.
Featured Frameworks 📙
This week, I encountered two frameworks I would like to share with you.
WebDNN allows you to run trained DNN model on web browser.
Spacy is an advanced library for Natural Language Process in Python and Cython.
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If you have feedback, I would love to hear it in your reply.
Cheers,
Samuel