#machine-learning
5 notes and posts, 62 links.
Notes and posts
Machine Learning Books
Patterns, Predictions, and Actions by Moritz Hardt and Benjamin Recht; PDF, problem sets. Learning Theory from First Principles by Francis Bach. Foundations of Machine Learning by Mehryar Mohri. Understanding Machine…
Conformal Prediction
Heard it first time via Valeriy Manokhin on X. His feed often posts on well regarded mathematical learning materials on archive.org. Introduction How statisticians got prediction wrong by Manokhin on X. Predicting with…
PCA
Principal Component Analysis is mostly commonly used for dimensionality reduction. It is a data preperation technique performed on data prior to modeling. After data cleaning and data scaling and before training a…
ML Ops
MLOps Requirements ---- visenger/awesome-mlops: A curated list of references for MLOps MLOps References Papers Operationalizing machine learning: An interview study (Shankar et al. 2022) The process of operationalizing…
Machine Learning
Learning How I learn machine learning | ★❤✰ Vicki Boykis ★❤✰; 2022. Machine Learning Engineer Roadmap | /home/vigi99 ludwigbap/ml learning resources Stanford CS229: Machine Learning, Spring 2022 Notes) Lecture Videos…
Links Open in the Archive
Machine Learning Math: 67 Interactive Lessons | TensorTonic
Reinforcement Learning: An Introduction : Andrew Barto and Richard S. Sutton : Internet Archive
Textbook, second edition
Lil'Log
good blog on LLM, Machine Learning etc
Speech and Language Processing
Textbook by Dan Jurafsky and James H. Martin of Stanford
Stanford CS229: Machine Learning | Summer 2019 (Anand Avati) - YouTube
Full course video on machine learning. I liked the instructor's style.
Thread by @TivadarDanka on Thread Reader App – Thread Reader App
150 successful machine learning models: 6 lessons learned at Booking.com – the morning paper
Comparing Python Clustering Algorithms
(Why you should use HDBSCAN)
CMU 11-761 / Spring 2014 Language and Statistics
Internet search, speech recognition, machine translation, question answering, information retrieval, biological sequence analysis -- are all at the forefront…
10601A14spring Machine learning
Machine Learning (ML) asks "how can we design programs that automatically improve their performance through experience?" This includes learning to perform many…
Learning from the best | no free hunch
understand how they were consistently performing well in competitions.
10708 Probabilistic Graphical Models
Machine Learning Video Library - Learning From Data (Abu-Mostafa)
Alexandre Passos's ML blog
Fall 09 Course: Computational Data Analysis: Foundations of Machine Learning and Data Mining
datasets released by Google
A Course in Machine Learning
book by Hal Daume III
Machine Learning Resources
The Shape of Data | Exploring the geometry behind machine learning, data mining, etc.
EE364a: Convex Optimization I
recommended by someone on Quora as requisite math for learning Machine Learning.
Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series): Kevin P. Murphy: 9780262018029: Amazon.com: Books
has tips by reviewers on other books + guide on which ones to take up depending on time/learning objectives.
T-61.6020 Popular Algorithms in Data Mining and Machine Learning
implments popular algorithms in datamining.
CSEP 546 - Data Mining - Spring 2012
Waffles
C++ data machine learning library.
Machine learning papers from NIPS 2011
Papers from NIPS2011 workshop on parallel and large-scale machine learning
shogun | A Large Scale Machine Learning Toolbox
Machine Learning Exercises in R
The Gaussian Processes Web Site
Proggit, can you recommend a gentle introduction to AI techniques for an application developer? : programming
Pattern Recognition and Machine Learning by Christopher M. Bishop
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