Someone asked about Machine Learning in production:
What’s your team’s approach to tracking the quality of ML models in production? How do you know if a model is decaying? How do you quality-check the data going into a model? Who builds and tracks these things?…
Answer: Mo models, mo problems: tracking the quality of ML models in production
I see this in many enterprise projects: Why is It So Hard to Put Data Science in Production? and Your Deep Learning Startup for Enterprise Will Fail
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Gaussian Processes Are Not So Fancy
A Sane Intro to Maximum Likehood Estimation (MLE)
Best Practices for Building Recommender Systems
A Great Review of ACM RecSys 2018 Conference
Tensors Considered Harmful: An Alternative
A Review and Highlights of NLP 2018 [pdf, 50 pages]
Uncertainty and Machine Learning: A Tutorial
Causal Inference: Counterfactuals
The Illustrated BERT… How NLP Cracked Transfer Learning
[free course] Advances in Causality & Machine Learning
Detecting Patterns & Anomalies in Massive Datasets
StanfordNLP: SOTA, Multi-Language NLP in Python Torch
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Feature Selection with Genetic Algorithms in R
A Library for Neural Differential Equations
Intro to Bayesian Regression: Julia vs. Python & R
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Machine Learning in Clojure with XGBoost
RTrees in Clojure
MachineBox: Text & Image Classification in Clojure
Spark Custom Stream Sources
Type Safety and Spark Datasets in Scala
Writing a Spark Dataframe to an Elasticsearch Index
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A Visual Exploration of Gaussian Processes
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Scaling Jupyter Notebooks with Kubernetes & Tensorflow
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An Intensive Introduction to Cryptography (Harvard Uni)
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OpenEdge - Open Framework for Seamless Edge Computing
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Hands-On Workshop on IoT with Arduino @IoTDevFest
Generative Q&A: Learning to Answer the Whole Question
Papers from Bayesian Deep Learning Workshop NIPS2018
Generative Ensembles for Robust Anomaly Detection
[free book] Algorithms, Jeff Erikson (Dec, 2018)
Divide and Conquer Algorithms
Transition Matrix Clustering Algorithms
A Biomimetic, Bionic Flying Fox
Inside Dexter - The Groundbreaking Robotic Arm
Supervising Robots with Brain & Muscle Signals
Deep Learning State of the Art (2019) - MIT Talks
Alibaba’s Industrial Deep Learning for HighDim Sparse Data
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Basis AI - A Modern Platform for Enterprise AI
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The AI Reasoning Challenge Dataset - Allen AI Institute
A Large-scale Dataset for Visual Learning & Image Captioning
Face Diversities Recognition Dataset - IBM Research
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Curated by Carlos @ds_ldn in the middle of the night.
Hello!
If there any way to perform a search through issues