Mark Fontenot

...computer scientist turned engineering educator...

  • Home
  • About Me
  • Teaching
    • CS 3200 – Database Design – Fall 2022
    • Data Structures (SMU)
      • CS 2341 – Spring 2022
      • CS 2341 – Fall 2021
      • CS 2341 – Spring 2021
      • CS 2341 – Spring 2020
      • CS 2341 – Fall 2020
      • CS 2341 – Spring 2020
      • CS 2341 – Fall 2019
      • CSE 2341 – Spring 2019
      • CSE 2341 – Spring 2018
      • CSE 2341 – Fall 2017
      • CSE 2341 – Spring 2017
      • CSE 2341 – Fall 2016
      • CSE 2341 – Spring 2016
      • CSE 2341 – Fall 2015
      • CSE 2341 – Spring 2015
    • Database Concepts (SMU)
      • CSE 3330 – Spring 2019
      • CSE 3330 – Spring 2018
      • CSE 3330 – Fall 2017
      • CSE 3330 – Spring 2017
      • CSE 3330 – Spring 2016
      • CSE 3330 – Fall 2015
      • CSE 3330 – Spring 2015
    • Programming Concepts (SMU)
      • CS 1342 – May Term 22
      • CS 1342 – Summer 2019
      • CSE 1342 – Summer 2018
      • CSE 1342 – Summer 2018 (SMU in Germany)
      • CSE 1342 – Summer 2017
      • CSE 1342 – Summer 2016 in Weimar
      • CSE 1342 – Summer 2014
    • Algorithms (SMU)
      • CS 3353 – Spring 2022
      • CS 3353 – Fall 2021
      • CS 3353 – Spring 2021
    • Introduction to Engineering Design (SMU)
  • Research
    • PhD Programs in CS or Engineering Education
  • CV
    • Education
    • Experience
    • Research
    • Consulting
    • Service
    • Honors and Awards
You are here: Home / ML Resources

ML Resources

Here are some semi-organized ML and ML-elated resources.

ML Books

  • Machine Learning – A First Course for Engineers and Scientists

Datasets

  • Open ML

Posts and Tutorials

  • Bayes’ Theorem with Legos
  • Lecture Notes from Stanford ML course by Andrew Ng
    • Supervised Learning
  • Linear Algebra Review and Reference

Python

  • Dr Andrew Harrington – Hands-On Python Tutorial Release 2.0
  • Jake VanderPlas – A Whirl-wind Tour of Python (from around 2016)
    • also available as a set of Jupyter Notebooks.
    • Jake is also the author of Python Data Science Handbook from O’Reilly Press

 

Collections of Resources by Others

  • Data Labs at Tufts

Recent Posts

  • Gearing Up for Spring 22 Data Structures January 10, 2022
  • Adding Timeout to Github Actions September 21, 2021
  • Old Python2 Code Causing you a Headache? Convert Python3 Automagically! May 2, 2021
  • What are the gcc system include paths? February 2, 2021
  • Customizing CLion January 31, 2020

Important Links

  • CS 3200 – Database Design – Spring 2023

Follow me on Twitter

Tweets by @MarkTheSpot

Blogs and Things I Read

  • Coding Horror
  • Data Science Reader
  • Hacker Noon
  • List of Awesome Lists
  • Medium Blogs
  • Organizing Creativity
  • R-Bloggers
  • Towards Data Science

Tags

17S 17Su-Germany 1342su14 c catch clion coding cpp cs3353 cse1341 cse2341 cse3330 csed databases DataStructures docker education Fall2014 fall2016 highered Java learning linux mysql oh-my-zsh pointers programming Python3 Software Development sql terminal zsh

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