Ben FredericksonAlgorithms Simulating A/B tests offline with counterfactual inferenceabhadury.com While developing machine learning (ML) algorithms in production environments, we usually optimize a function or a loss that has nothing to do with …
Ben Frederickson A few Recommendations for a Data Scientist who wants to get started in Recommender Systemsbbvadata.com As a Data Scientist, you are expected to be able to build all sort of data products, that may involve simple-yet highly valuable business trends …
Ben Frederickson The deepest problem with deep learningmedium.com - Gary Marcus On November 21, I read an interview with Yoshua Bengio in Technology Review that to a suprising degree downplayed recent successes in deep learning, …
Ben Frederickson NLP's ImageNet moment has arrivedthegradient.pub - Sebastian Ruder Big changes are underway in the world of Natural Language Processing (NLP).The long reign of word vectors as NLP’s core representation technique has …
Ben Frederickson AdamW and Super-convergence is now the fastest way to train neural netsfast.ai Written: 02 Jul 2018 by Sylvain Gugger and Jeremy Howard Note from Jeremy: Welcome to fast.ai’s first scholar-in-residence, Sylvain Gugger. What better …
Ben Frederickson Visualizing Matrix Factorization Using Self-Organizing Maps - Zillow AI Blogzillow.com Visualizing Matrix Factorization Using Self-Organizing Maps Posted by ondrejl on June 12, 2018 in Machine Learning, Research One of the core methods used …
Ben Frederickson The Machine Learning Reproducibility Crisispetewarden.com - Pete Warden Gosper Glider GunI was recently chatting to a friend whose startup’s machine learning models were so disorganized it was causing serious problems as …
Ben Frederickson Black-box optimization — Graduate Descenttimvieira.github.io - Posted by Tim Vieira Black-box optimization algorithms are a fantastic tool that everyone should be aware of. I frequently use black-box optimization algorithms for …
Ben Frederickson The Building Blocks of Interpretabilitydistill.pub Interpretability techniques are normally studied in isolation. We explore the powerful interfaces that arise when you combine them -- and the rich …
Ben Frederickson Deep Reinforcement Learning Doesn't Work Yetalexirpan.com June 24, 2018 note: If you want to cite an example from the post, please cite the paper which that example came from. If you want to cite the post as …
Ben Frederickson How to do machine learning efficientlyhackernoon.com Radek OsmulskiBlockedUnblockFollowFollowing Jan 22, 2018 I have just come out of a project where 80% into it I felt I had very little. I invested a lot …
Ben Frederickson How To Create Data Products That Are Magical Using Sequence-to-Sequence Modelstowardsdatascience.com - Hamel Husain Hamel HusainBlockedUnblockFollowFollowing Jan 18, 2018 A tutorial on how to summarize text and generate features from Github Issues using deep learning …
Ben Frederickson AI and Deep Learning in 2017 – A Year in Reviewwildml.com - Denny Britz The year is coming to an end. I did not write nearly as much as I had planned to. But I’m hoping to change that next year, with more tutorials around …
Ben Frederickson Implementing Poincaré Embeddingsrare-technologies.com - Jayant Jain I have been working on implementing a model called Poincaré embeddings over the last month or so. The model is from an interesting paper by Facebook …
Ben Frederickson Optimization for Deep Learning Highlights in 2017ruder.io - Sebastian Ruder Table of contents:• Improving Adam• Decoupling weight decay • Fixing the exponential moving average • Tuning the learning rate • Warm restarts• SGD with …
Ben Frederickson Understanding Hinton’s Capsule Networks. Part I: Intuition.medium.com - Max Pechyonkin Part I: Intuition (you are reading it now) Part II: How Capsules Work Part III: Dynamic Routing Between Capsules Part IV: CapsNet Architecture Quick …
Ben Frederickson How to unit test machine learning code.medium.com - Chase Roberts Edit: The popularity of this post has inspired me to write a machine learning test library. Go check it out! Second Edit: The Github user suriyadeepan …
Ben Frederickson Word embeddings in 2017: Trends and future directionsruder.io - Sebastian Ruder Table of contents:• Subword-level embeddings • OOV handling • Evaluation • Multi-sense embeddings • Beyond words as points • Phrases and multi-word …
Ben Frederickson Approximate Nearest Neighbours for Recommender Systemsbenfrederickson.com One challenge that recommender systems face is in quickly generating a list of the best recommendations to show for the user. These days many …
Ben Frederickson Language identificationfasttext.cc Fast and accurate language identification using fastText We are excited to announce that we are publishing a fast and accurate tool for text-based …
Ben Frederickson Exploring K-Means in Python, C++ and CUDAgoldsborough.me - Peter Goldsborough Sep 10, 2017 29 minute read K-means is a popular clustering algorithm that is not only simple, but also very fast and effective, both as a quick hack …
Ben Frederickson Named Entity Recognition and the Road to Deep Learningnlp.town Not so very long ago, Natural Language Processing looked very different. In sequence labelling tasks such as Named Entity Recognition, Conditional …
Ben Frederickson datas-frame – Scalable Machine Learning (Part 1)tomaugspurger.github.io - Tom Augspurger This work is supported by Anaconda Inc. and the Data Driven Discovery Initiative from the Moore Foundation. Anaconda is interested in scaling the …
Ben Frederickson Meet Michelangelo: Uber’s Machine Learning Platformuber.com - Jeremy Hermann & Mike Del Balso Uber Engineering introduces Michelangelo, our machine learning-as-a-service system that enables teams to easily build, deploy, and operate ML …
Ben Frederickson DrQAgithub.com - facebookresearch README.md This is a PyTorch implementation of the DrQA system described in the ACL 2017 paper Reading Wikipedia to Answer Open-Domain Questions. Quick …
Ben Frederickson 37 Reasons why your Neural Network is not working – Slavslavv.com - Slav Ivanov Slav IvanovBlockedUnblockFollowFollowing Jul 25, 2017 The network had been training for the last 12 hours. It all looked good: the gradients were …
Ben Frederickson Deep Learning for NLP Best Practicesruder.io - Sebastian Ruder Update July 26, 2017: For additional context, the HackerNews discussion about this post.Table of contents:• Introduction • Best practices• Word …
Ben Frederickson Convolutional Methods for Textmedium.com - Tal Perry Over the last three years, the field of NLP has gone through a huge revolution thanks to deep learning. The leader of this revolution has been the …
