Andrew Fairless, Ph.D.
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2020-12-29
What I Read: Fundamental Theorem for Epidemiology
2020-12-29
What I Read: Penrose, Mathematical Notation to Beautiful Diagrams
2020-12-28
What I Read: GPT-3, The New Mighty Language Model
2020-12-28
What I Read: Self Supervised Representation Learning in NLP
2020-12-27
What I Read: ML models in production
2020-12-27
What I Read: Symbolic Mathematics, Neural Networks
2020-12-26
What I Read: Exploring Bayesian Optimization
2020-12-26
What I Read: Possible Alzheimer’s Treatment
2020-12-25
What I Read: Deep Generative Models
2020-12-25
What I Read: Feature Management
2020-12-24
What I Read: Neural Networks to Find Answers in Tables
2020-12-24
What I Read: regularization of linear models
2020-12-23
What I Read: Common Sense Computers
2020-12-23
What I Read: DevOps for ML Data
2020-12-22
What I Read: Coding habits for data scientists
2020-12-22
What I Read: Tonks Multi-Task Model
2020-12-21
What I Read: Developers Databases
2020-12-21
What I Read: Peer Reviewing Data Science Projects
2020-12-20
What I Read: Guide to Graph Neural Networks
2020-12-20
What I Read: Monitoring Machine Learning Models in Production
2020-12-19
What I Read: Diffusion Map for manifold learning
2020-12-19
What I Read: sub-linear deep learning algorithm
2020-12-18
What I Read: Introduction to Circuits
2020-12-18
What I Watch: Probabilities of probabilities binomial
2020-12-17
What I Read: doctor, one story at a time
2020-12-17
What I Read: Transformers Graph Neural Networks
2020-12-16
What I Read: Does Time Really Flow?
2020-12-16
What I Read: Neural State Machine
2020-12-15
What I Read: forecast suicide rates
2020-12-15
What I Read: Kids’ brains building AI
2020-12-14
What I Read: Strictly-Typed Schemas
2020-12-14
What I Read: The New Business of AI
2020-12-13
What I Read: Mental Shortcuts Physician Errors
2020-12-13
What I Read: Neighbourhood Components Analysis
2020-12-12
What I Read: Reproducible Machine Learning
2020-12-12
What I Read: Tiny Brain Cells Connect Mental and Physical Health
2020-12-11
What I Read: Economics of AI
2020-12-11
What I Read: phones detect health problems
2020-12-10
What I Read: HDBSCAN and Density-Based Clustering
2020-12-10
What I Read: Reformer efficient Transformer
2020-12-09
What I Read: Artificial Intelligence Will Do What We Ask
2020-12-09
What I Read: Chain Pharmacies Patients Risk
2020-12-08
What I Read: America health care cost problem Maryland
2020-12-08
What I Read: Replacing do-calculus with Bayes rule
2020-12-07
What I Read: Bayesian Neural Networks Need Not Concentrate
2020-12-07
What I Read: Help AI See in Higher Dimensions
2020-12-06
What I Read: The Case for Bayesian Deep Learning
2020-12-06
What I Read: Visualizing Geometric Harmonic Means
2020-12-05
What I Read: AI Epidemiologist First Warnings Virus
2020-12-05
What I Read: Cutting Food Stamps Can Add Costs Elsewhere
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