Skip to content
Menu
machinelearning.to
  • Home
  • Contact
machinelearning.to

Book: Wasserman – All of Statistics

July 23, 2021July 23, 2021 by admin

Status: Online

All pages will be updated and added to, thank you for your patience!

Categories

Quick Links:

  • ML Tutorials
  • ML Everyday Challenge – Anjum Ismail
  • ML Discussions
  • ML Applications
  • ML News
  • ML Ops
  • ML Books
  • ML Careers
  • ML Researchers
  • ML Podcasts
  • ML Papers
  • ML Domains
  • ML Ethics
  • ML Certificate Programs
  • ML Degree Programs

Recent Posts:

  • Tutorials: Towards AI – Machine Learning Fundamentals
  • Tutorial: KDnuggets – Retraining the Model
  • Tutorial: Siddhardhan – Machine Learning Models
  • Tutorial: Siddhardhan – Machine Learning Projects
  • Tutorial: Siddhardhan – Python Basics for Machine Learning

RSS arxiv.org Computer Science – ML RSS Feed

  • Sequential pattern mining in educational data: The application context, potential, strengths, and limitations. (arXiv:2302.01932v1 [cs.LG])
  • Multi-Domain Long-Tailed Learning by Augmenting Disentangled Representations. (arXiv:2210.14358v2 [cs.LG] UPDATED)
  • DiGress: Discrete Denoising diffusion for graph generation. (arXiv:2209.14734v3 [cs.LG] UPDATED)
  • Predicting the power grid frequency of European islands. (arXiv:2209.15414v2 [stat.AP] UPDATED)
  • Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning. (arXiv:2210.00226v3 [cs.LG] UPDATED)

RSS arxiv.org Statistics – ML RSS Feed

  • On a continuous time model of gradient descent dynamics and instability in deep learning. (arXiv:2302.01952v1 [stat.ML])
  • On Representation Knowledge Distillation for Graph Neural Networks. (arXiv:2111.04964v4 [cs.LG] UPDATED)
  • Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis. (arXiv:2205.13496v4 [stat.ML] UPDATED)
  • Polynomial-time sparse measure recovery. (arXiv:2204.07879v3 [cs.LG] UPDATED)
  • Side Effects of Learning from Low-dimensional Data Embedded in a Euclidean Space. (arXiv:2203.00614v5 [cs.LG] UPDATED)

Sites We Like:

  • madewithml
  • Mr. Daniel Bourke
  • Tech with Tim
  • https://pythonprogramming.net
  • geeksforgeeks
  • mlexpert
  • Chip Huyen
  • /r/MachineLearning
  • /r/LearnMachineLearning
  • machinelearningmastery
  • paperswithcode
  • towardsai
  • kdnuggets
  • Analytics Vidhya
  • William Rinehart – Resource DB

YouTube Channels We Like

  • Sentdex
  • freeCodeCamp.org
  • Clément Mihailescu
  • Tech With Tim
  • 3Blue1Brown
  • Aaron Jack
  • Statquest with Josh Starmer
  • Ken Jee
  • Daniel Bourke
  • DeepLearningAI
  • Mike Dane
  • Khan Academy
  • Keith Galli
  • Lex Fridman
  • Professor Leonard
  • Part Time Larry
  • Jon Krohn
  • Tübingen Machine Learning
  • Shai Ben-David
  • Krish Naik

Help support this site:

Buy me a coffee

©2023 machinelearning.to