Machine Learning

concepts · 68 notes linked

Related: Scikit Learn · Deep Learning · Supervised Learning · Neural Networks · Github · Reinforcement Learning · University Of Chicago · Data Science

Notes

• 35 Best Resources To Learn Machine Learning — Curated list of free interactive ML and deep learning visualization tools
• A Tour of Machine Learning Algorithms - MachineLearningMastery.com — Taxonomy of machine learning algorithms by learning style and similarity
• AI 50 2021: America's Most Promising Artificial Intelligence Companies — Forbes annual ranking of 50 promising private North American AI companies
• AI Comes Up With Bizarre Physics Experiments. But They Work. | Quanta Magazine — AI designs counterintuitive physics experiments outperforming human-designed setups
• Algorithm predicts crime a week in advance, but reveals bias in police response — ML model predicts urban crime 90% accurately while exposing police enforcement bias
• An Applied Mathematician Strengthens AI With Pure Math | Quanta Magazine — Applying topology and algebraic geometry to explain and improve neural networks
• Architecting a Machine Learning System for Risk — Airbnb's real-time fraud detection ML pipeline architecture
• Artificial Intelligence — The Revolution Hasn't Happened Yet — Michael Jordan argues AI hype obscures the real ML/data-engineering challenge
• Automatic Differentiation: The most criminally underused tool in the potential machine learning toolbox? — Reverse-mode autodiff computes gradients at same cost as the forward function
• BUS 41204: Machine Learning — Chicago Booth inaugural MBA machine learning course 2015
• Basic Linear Algebra for Deep Learning and Machine Learning Python Tutorial — Introductory linear algebra tutorial for ML and deep learning with Python
• Bias in Criminal Risk Scores Is Mathematically Inevitable, Researchers Say — Mathematical proof that predictive parity and equal error rates are incompatible fairness criteria
• Building a Decision Tree in Python from Postgres data - Gary Sieling — Tutorial building scikit-learn decision tree from PostgreSQL relational data
• Data Science Most Read Articles — Curated quarterly top-read data science newsletter articles from 2013-2014
• Deep Learning — Goodfellow, Bengio, Courville canonical deep learning textbook freely online
• Deep Skies — Community accelerating AI application to astronomical research challenges
• Distill — Latest articles about machine learning — Distill journal homepage for clear interactive ML research explanations
• Educating national security leaders on artificial intelligence — MIT three-day AI4NSL course trains military and government leaders on AI
• Finding Clandestine Graves: Using Geospatial Analysis to Search for Missing Persons in Baja California, Mexico — Three-method geospatial ML framework to prioritize search areas for clandestine graves
• Gausian distributions form a monoid — Abstract algebra monoid and group structure enables parallelizable ML training
• GitHub - OpenADMET/openadmet-models: Machine learning workflows for the OpenADMET project — Open-source ML framework for drug ADMET property prediction tasks
• GitHub - eriklindernoren/ML-From-Scratch: Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning. — Bare-bones NumPy educational implementations of ML algorithms
• GitHub - eugeneyan/applied-ml — Curated industry ML blog posts and papers from production deployments
• GitHub - josephmisiti/awesome-machine-learning: A curated list of awesome Machine Learning frameworks, libraries and software. — Curated multi-language catalog of machine learning frameworks and libraries
• GitHub - kvh/ramp: Rapid Machine Learning Prototyping in Python — Pandas-based Python library for declarative ML feature and model exploration
• Google DeepMind's AI Weather Forecaster Handily Beats a Global Standard — DeepMind's GraphCast beats ECMWF across 90% of atmospheric variables
• HLearn cross-validates >400x faster than Weka — Algebraic structure exploits cut cross-validation from Θ(kn) to Θ(n)
• Homepage — University of Chicago Data Science Institute homepage and recent news feed
• How To Build and Deploy a Machine Learning Model with FastAPI — Wrapping and serving scikit-learn models as REST APIs with FastAPI
• How a Russian mathematician constructed a decision tree - by hand - to solve a medical problem — 1980s hand-built decision tree for kidney transplant rejection diagnosis
• How machine-learning models can amplify inequities in medical diagnosis and treatment — Four-type taxonomy of ML subpopulation shifts causing medical inequity
• How the Pandemic Made Algorithms Go Haywire — COVID-19 distribution shift caused healthcare and finance ML algorithms to fail
• In-depth introduction to machine learning in 15 hours of expert videos — Free 15-hour Stanford ISLR video course covering statistical learning fundamentals
• Inscribe bags $25M to fight financial fraud with AI | TechCrunch — Inscribe raises $25M Series B for AI-powered financial document fraud detection
• Introduction to Graph Machine Learning — Graph neural network fundamentals from representations to transformers
• Introduction to Machine Learning Interviews Book — Chip Huyen's guide to ML interview preparation and hiring
• January 7-9th, 2018, Sheraton Philadelphia Downtown — AEA 2018 short courses on ML, econometrics, and market design
• John Santerre — John Santerre academic publication record spanning ML, bioinformatics, and applied data science
• John Santerre — ML researcher and SMU faculty member with applied proof-of-concept focus
• Machine Learning Algorithm Recipes in scikit-learn - MachineLearningMastery.com — Five standalone scikit-learn supervised classification code recipes
• Machine Learning Could Create the Perfect Game Bosses — ML-driven NPC behavior in games balances difficulty tuning over scripted trees
• Machine Learning Course Series — Three-course ML curriculum from Python basics to LLMs
• Machine Learning Course Series — Three-course ML curriculum from Python basics to LLMs
• Machine Learning Crash Course — Google for Developers — Google's free practical ML course with interactive modules
• Machine Learning Done Wrong — Seven common practitioner mistakes in applied machine learning modeling
• Machine Learning Video Library — Caltech indexed video segments covering core ML topics
• Machine-Learning Maestro Michael Jordan on the Delusions of Big Data and Other Huge Engineering Efforts — Michael Jordan critiques deep learning hype and big data statistical risks
• Mathematicians Are Close to Building the Perfect Periodic Table of Shapes — ML used to classify Fano varieties toward a geometric periodic table
• Microsoft Announces Azure ML, Cloud-based Machine Learning Platform That Can Predict Future Events | TechCrunch — Microsoft Azure ML cloud machine learning platform launch announcement 2014
• Modular toolkit for Data Processing MDP — Python modular ML pipeline framework with PCA, ICA, and manifold methods
• Open Source Data Science Masters — Free self-guided open-source curriculum for entry-level data science roles
• Out-of-core classification of text documents — Scikit-learn online learning for text classification without loading full dataset
• Pacific Northwest startups most likely to have a successful exit, according to PitchBook — ML tool predicting VC-backed startup exit likelihood and type
• PitchBook's new tool uses AI to predict which startups will successfully exit | TechCrunch — ML startup exit predictor accuracy claims and embedded bias risks
• PredictionIO Raises $2.5M For Its Open Source Machine Learning Server | TechCrunch — Open source ML server startup raises seed funding
• Project Goals — ONR-MURI program applying ML to sea ice modeling
• Python_for_Data_Science/simple_ml.py at master · gumption/Python_for_Data_Science — Python utility library implementing decision tree ML from scratch
• Raman spectroscopy in open world learning settings using the Objectosphere approach — Objectosphere loss reduces false positives for unknown Raman spectra classes
• Researchers Discover a More Flexible Approach to Machine Learning | Quanta Magazine — MIT liquid neural networks inspired by C. elegans offer adaptive continuous-time inference
• Stock Price Prediction With Big Data and Machine Learning — Spark MLLib decision-tree classifier for limit order book price movement prediction
• Top 25 Machine Learning Startups To Watch In 2020 — Forbes 2020 survey of top ML startups with funding data and use cases
• U of Texas will stop using controversial algorithm to evaluate Ph.D. applicants — ML admissions tool encodes historical bias in PhD candidate selection
• Vector Norms: A Quick Guide | Built In — L1, L2, Lp, and Linfinity vector norms explained for ML
• What is Reinforcement Learning and 9 examples of what you can do with it. — Introductory overview of reinforcement learning with real-world examples
• What is the kernel trick? Why is it important? — Kernel trick enabling non-linear SVM classification without explicit high-dimensional feature maps
• Writing 'Python Machine Learning' — Sebastian Raschka's process writing 454-page ML Python textbook
• scikit-learn — Python machine learning library covering classification through preprocessing
• tslearn's documentation# — Python machine learning toolkit for time series analysis