diff --git a/doc/pub/week35/html/._week35-bs000.html b/doc/pub/week35/html/._week35-bs000.html index e6f5e6ee0..606fe872d 100644 --- a/doc/pub/week35/html/._week35-bs000.html +++ b/doc/pub/week35/html/._week35-bs000.html @@ -37,6 +37,7 @@ doconce format html week35.do.txt --html_style=bootstrap --pygments_html_style=d
  • Plans for week 35
  • +
  •    Reading recommendations:
  • Thursday September 1
  • Why Linear Regression (aka Ordinary Least Squares and family), repeat from last week
  • Regression analysis, overarching aims
  • @@ -390,7 +392,7 @@ MathJax.Hub.Config({
    -

    Aug 23, 2022

    +

    Aug 28, 2022


    diff --git a/doc/pub/week35/html/._week35-bs001.html b/doc/pub/week35/html/._week35-bs001.html index fdade8102..a4291f69b 100644 --- a/doc/pub/week35/html/._week35-bs001.html +++ b/doc/pub/week35/html/._week35-bs001.html @@ -37,6 +37,7 @@ doconce format html week35.do.txt --html_style=bootstrap --pygments_html_style=d
  • Plans for week 35
  • +
  •    Reading recommendations:
  • Thursday September 1
  • Why Linear Regression (aka Ordinary Least Squares and family), repeat from last week
  • Regression analysis, overarching aims
  • @@ -375,10 +377,21 @@ MathJax.Hub.Config({

    Plans for week 35

    +

    position

    + +

    Reading recommendations:

    +
      +
    1. See lecture notes for week 35 at https://compphysics.github.io/MachineLearning/doc/web/course.html
    2. +
    3. For a review on statistics see jupyter-book https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/statistics.html, the most relevant parts are covered by sections 1.1.1-1.1.5
    4. +
    5. HTF chapter 3. GBC chapters 1 and and sections 3.1-3.11 and 5.1
    6. +
    7. CMB sections 1.1 and 3.1
    8. +
    9. A good review on statistics is given by Murphy's text, chapter 2, see https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/MachineLearningMurphy.pdf
    10. +