blog.kubeflow.org
Data Science Meets Devops: MLOps with Jupyter, Git, & Kubernetes
10 min read · 2020-08-04 · Kubeflow is a fast-growing open source project that makes it easy to deploy and manage machine learning on Kubernetes. Due to Kubeflow’s explosive popularity, we receive a large influx of GitHub…
nlpers.blogspot.com
Doing Named Entity Recognition? Don't optimize for F1
4 min read · 2020-02-11 · (Guest post by Chris Manning . Thanks Chris!) Among ML-oriented nlpers, using a simple F 1 of precision and recall is the standard way to...
atlantbh.com
First in the world to extract Hours of Operation (HOP)
3 min read · From 2019 · When you think Hours of Operation (HOP), you probably think it’s really easy to extract this data from any website. However, you can’t even begin to imagine all the possible formats in which HOP can…
yugeten.github.io
Gaussian Processes, not quite for dummies
~11 min read · From 2019 · Before diving inI have procrastinated reading up about Gaussian process for many many moons. However, as always, I’d like to think that this is not just due to my procrastination superpowers. Whenever…
inovex.de
Uncertainty Quantification in Deep Learning
~14 min read · From 2019 · Teach your Deep Neural Network to be aware of its epistemic and aleatory uncertainty. Get a quantified confidence measure for your Deep Learning predictions.
phili.pe
Free Concurrency with GNU Parallel
6 min read · From 2019 · Parallelizing code without writing any
Towards Data Science
Turn Python Scripts into Beautiful ML Tools
7 min read · From 2019 · Introducing Streamlit, an app framework built for ML engineers
medium.com
How to get up to speed on Machine Learning and AI
4 min read · From 2019 · By Oren Etzioni and the AI2 Team
The Gradient
The #BenderRule: On Naming the Languages We Study and Why It Matters
10 min read · From 2019 · Progress in the field of Natural Language Processing (NLP) depends on the existence of language resources:
medium.com
📚The Current Best of Universal Word Embeddings and Sentence Embeddings
8 min read · From 2018 · Word & Sentence Embeddings have evolved really fast over the last few months - A brief primer on what happened
Domino Data Lab
Deep Learning Illustrated: Building Natural Language Processing Models
From 2019 · Many thanks to Addison-Wesley Professional for providing the permissions to excerpt “Natural Language Processing” from the book, Deep Learning Illustrated by Krohn, Beyleveld, and Bassens. The excerpt…
medium.com
Text Similarities : Estimate the degree of similarity between two texts
From 2019 · Note to the reader: Python code is shared at the end
supernlp.github.io
On sentence representations, pt. 1: what can you fit into a single #$!%@*&% blog post?
~20 min read · From 2018
ruder.io
The State of Transfer Learning in NLP
~13 min read · From 2019 · This post expands on the NAACL 2019 tutorial on Transfer Learning in NLP. It highlights key insights and takeaways and provides updates based on recent work.
pouannes.github.io
How to initialize deep neural networks? Xavier and Kaiming initialization
~14 min read · From 2019 · Initialization of neural networks isn’t something we think a lot about nowadays. It’s all hidden behind the different Deep Learning frameworks we use, like TensorFlow or PyTorch. However, it’s at the…
prateekvjoshi.com
Understanding Xavier Initialization In Deep Neural Networks
4 min read · From 2018 · I recently stumbled upon an interesting piece of information when I was working on deep neural networks. I started thinking about initialization of network weights and the theory behind it. Does th…
