Andrew Fairless, Ph.D.
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2021-11-30
What I Read: How to assign partial credit on an exam of true-false questions
2021-11-29
What I Read: machine learning with differential privacy
2021-11-23
What I Read: A Behind-the-Scenes Look at How Postman’s Data Team Works
2021-11-22
What I Read: Is the data engineer still the “worst seat at the table?”
2021-11-18
What I Read: Machine learning is just statistics + quantifier reversal
2021-11-17
What I Read: First-Principles Theory of Neural Network Generalization
2021-11-16
What I Read: Deciding Which Tasks Should Train Together
2021-11-15
What I Read: Introduction AutoEncoder
2021-11-10
What I Read: Data Orchestration w/ Nick Schrock (Elementl)
2021-11-09
What I Read: The Brain Processes Speech in Parallel With Other Sounds
2021-11-08
What I Read: How Train Large Deep Learning Models
2021-11-03
What I Read: ETL Pipelines with Airflow
2021-11-02
What I Read: The Uselessness of Useful Knowledge
2021-11-01
What I Read: Neuron Bursts Can Mimic Famous AI Learning Strategy
2021-10-27
What I Watch: Streaming Data Systems w/ Eric Sammer (Decodable)
2021-10-26
What I Read: How to Train Really Large Models
2021-10-25
What I Read: binary cross-entropy, log loss
2021-10-20
What I Read: Machine learning is not nonparametric statistics
2021-10-19
What I Read: How Animals Map 3D Spaces
2021-10-18
What I Read: Wavelets Transform Data
2021-10-13
What I Read: Mystery of Deep Learning
2021-10-12
What I Learn: Scaling TensorFlow
2021-10-11
What I Learn: Robots Must Be Ephemeralized
2021-10-07
What I Read: Bayesian Media Mix Modeling
2021-10-06
What I Read: learning-to-rank
2021-10-05
What I Read: Permutation-Invariant Neural Networks for Reinforcement Learning
2021-10-04
What I Read: Deep One-class Classification
2021-09-30
What I Read: introduction to machine learning compilers and optimizers
2021-09-29
What I Read: Understanding Convolutions on Graphs
2021-09-28
What I Read: Introduction to Graph Neural Networks
2021-09-27
What I Read: How Computationally Complex Is a Neuron?
2021-09-23
What I Read: How Generally Capable Agents Trained
2021-09-22
What I Read: AI Story Generation
2021-09-21
What I Read: Dissecting “Noise”
2021-09-20
What I Read: Learning Neural Network Subspaces
2021-09-18
What I Read: To Learn, Brain Cells Break DNA
2021-09-16
What I Read: Graph Theory Into New Dimensions
2021-09-15
What I Read: Machines Can Learn, Can They Unlearn?
2021-09-14
What I Read: Systems for Machine Learning
2021-09-13
What I Read: XGBoost, Order Does Matter
2021-09-11
What I Read: The Brain Doesn’t Think the Way You Think It Does
2021-09-09
What I Read: The dysfunctions of Data Engineering
2021-09-08
What I Read: Machine Learning, Rendezvous Architecture
2021-09-07
What I Read: Computer Scientists Discover Limits of Major Research Algorithm
2021-09-06
What I Read: Machine Learning Wont Solve Natural Language Understanding
2021-09-02
What I Read: Pathfinder, A parallel quasi-Newton algorithm
2021-09-01
What I Read: Against SQL
2021-08-31
What I Read: Advances in TF-Ranking
2021-08-30
What I Read: demystifying graph deep learning
2021-08-26
What I Read: The one data platform to rule them all
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