diff --git a/doc/Projects/2022/Project1/html/._Project1-bs000.html b/doc/Projects/2022/Project1/html/._Project1-bs000.html
index 229495544..0d3f77bae 100644
--- a/doc/Projects/2022/Project1/html/._Project1-bs000.html
+++ b/doc/Projects/2022/Project1/html/._Project1-bs000.html
@@ -491,8 +491,6 @@ of your model complexity (the degree of the polynomial) and the number
 of data points, and possibly also your training and test data using the <b>bootstrap</b> resampling method.
 You can follow the code example in the jupyter-book at <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/chapter3.html#the-bias-variance-tradeoff" target="_self"><tt>https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/chapter3.html#the-bias-variance-tradeoff</tt></a>.
 </p>
-
-<p>Note also that when you calculate the bias, in all applications you don't know the function values \( f_i \). You would hence replace them with the actual data points \( y_i \).</p>
 <h3 id="part-d-cross-validation-as-resampling-techniques-adding-more-complexity" class="anchor">Part d):  Cross-validation as resampling techniques, adding more complexity  </h3>
 
 <p>The aim here is to write your own code for another widely popular
diff --git a/doc/Projects/2022/Project1/html/Project1-bs.html b/doc/Projects/2022/Project1/html/Project1-bs.html
index 229495544..0d3f77bae 100644
--- a/doc/Projects/2022/Project1/html/Project1-bs.html
+++ b/doc/Projects/2022/Project1/html/Project1-bs.html
@@ -491,8 +491,6 @@ of your model complexity (the degree of the polynomial) and the number
 of data points, and possibly also your training and test data using the <b>bootstrap</b> resampling method.
 You can follow the code example in the jupyter-book at <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/chapter3.html#the-bias-variance-tradeoff" target="_self"><tt>https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/chapter3.html#the-bias-variance-tradeoff</tt></a>.
 </p>
-
-<p>Note also that when you calculate the bias, in all applications you don't know the function values \( f_i \). You would hence replace them with the actual data points \( y_i \).</p>
 <h3 id="part-d-cross-validation-as-resampling-techniques-adding-more-complexity" class="anchor">Part d):  Cross-validation as resampling techniques, adding more complexity  </h3>
 
 <p>The aim here is to write your own code for another widely popular
diff --git a/doc/Projects/2022/Project1/html/Project1.html b/doc/Projects/2022/Project1/html/Project1.html
index 2034ad644..ae1c3646a 100644
--- a/doc/Projects/2022/Project1/html/Project1.html
+++ b/doc/Projects/2022/Project1/html/Project1.html
@@ -527,8 +527,6 @@ of your model complexity (the degree of the polynomial) and the number
 of data points, and possibly also your training and test data using the <b>bootstrap</b> resampling method.
 You can follow the code example in the jupyter-book at <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/chapter3.html#the-bias-variance-tradeoff" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/chapter3.html#the-bias-variance-tradeoff</tt></a>.
 </p>
-
-<p>Note also that when you calculate the bias, in all applications you don't know the function values \( f_i \). You would hence replace them with the actual data points \( y_i \).</p>
 <h3 id="part-d-cross-validation-as-resampling-techniques-adding-more-complexity">Part d):  Cross-validation as resampling techniques, adding more complexity  </h3>
 
 <p>The aim here is to write your own code for another widely popular
diff --git a/doc/Projects/2022/Project1/ipynb/Project1.ipynb b/doc/Projects/2022/Project1/ipynb/Project1.ipynb
index 28018807d..f138874db 100644
--- a/doc/Projects/2022/Project1/ipynb/Project1.ipynb
+++ b/doc/Projects/2022/Project1/ipynb/Project1.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "2f0d0303",
+   "id": "ca1c2e24",
    "metadata": {
     "editable": true
    },
@@ -14,7 +14,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "383fa1e8",
+   "id": "02930a2d",
    "metadata": {
     "editable": true
    },
@@ -27,7 +27,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "00edcc37",
+   "id": "1333230f",
    "metadata": {
     "editable": true
    },
@@ -63,7 +63,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b8f880fc",
+   "id": "3a7fd4e5",
    "metadata": {
     "editable": true
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@@ -85,7 +85,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1e667978",
+   "id": "67295d49",
    "metadata": {
     "editable": true
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@@ -100,7 +100,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3ce1ab3a",
+   "id": "13e004d0",
    "metadata": {
     "editable": true
    },
@@ -129,7 +129,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "965d1f48",
+   "id": "274827d8",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -181,7 +181,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6171ab22",
+   "id": "95e656c7",
    "metadata": {
     "editable": true
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@@ -197,7 +197,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "969dd687",
+   "id": "719bdbb4",
    "metadata": {
     "editable": true
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@@ -209,7 +209,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9194b1fc",
+   "id": "cd83cea7",
    "metadata": {
     "editable": true
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@@ -220,7 +220,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "cb6e0c5a",
+   "id": "3273d0b9",
    "metadata": {
     "editable": true
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@@ -232,7 +232,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ef0c8ce0",
+   "id": "74550be5",
    "metadata": {
     "editable": true
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@@ -244,7 +244,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c4e904d3",
+   "id": "fc4dbadf",
    "metadata": {
     "editable": true
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@@ -256,7 +256,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8ce55ba5",
+   "id": "c6afdf2e",
    "metadata": {
     "editable": true
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@@ -267,7 +267,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3aa94ac5",
+   "id": "5c4dc29b",
    "metadata": {
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@@ -279,7 +279,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8a15da0c",
+   "id": "acc5cbf5",
    "metadata": {
     "editable": true
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@@ -292,7 +292,7 @@
   },
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    "cell_type": "markdown",
-   "id": "9761270b",
+   "id": "d93a6eb5",
    "metadata": {
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@@ -304,7 +304,7 @@
   },
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    "cell_type": "markdown",
-   "id": "12f47ebc",
+   "id": "152d18ff",
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     "editable": true
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@@ -314,7 +314,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "be6e6c6e",
+   "id": "b850a49f",
    "metadata": {
     "editable": true
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@@ -326,7 +326,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "734989a3",
+   "id": "542f2716",
    "metadata": {
     "editable": true
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@@ -337,7 +337,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7e01db05",
+   "id": "615e0737",
    "metadata": {
     "editable": true
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@@ -359,7 +359,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6431c5d5",
+   "id": "786dc334",
    "metadata": {
     "editable": true
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@@ -372,7 +372,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e4eae5de",
+   "id": "640d183d",
    "metadata": {
     "editable": true
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@@ -384,7 +384,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6b7f7088",
+   "id": "4ea51524",
    "metadata": {
     "editable": true
    },
@@ -396,7 +396,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "57e680b6",
+   "id": "de75d17f",
    "metadata": {
     "editable": true
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@@ -406,7 +406,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "bbee460a",
+   "id": "da65f25e",
    "metadata": {
     "editable": true
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@@ -418,7 +418,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ab772d43",
+   "id": "537854a8",
    "metadata": {
     "editable": true
    },
@@ -447,7 +447,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "022b31d9",
+   "id": "8272e5b5",
    "metadata": {
     "editable": true
    },
@@ -479,7 +479,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "38c61204",
+   "id": "dc84027a",
    "metadata": {
     "editable": true
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@@ -491,7 +491,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "aa00d7dd",
+   "id": "a3e762aa",
    "metadata": {
     "editable": true
    },
@@ -510,7 +510,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6240984f",
+   "id": "17aab5fa",
    "metadata": {
     "editable": true
    },
@@ -522,7 +522,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0f01484d",
+   "id": "ff787790",
    "metadata": {
     "editable": true
    },
@@ -536,7 +536,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "37f1b3f8",
+   "id": "094a8507",
    "metadata": {
     "editable": true
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@@ -548,7 +548,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0673dacf",
+   "id": "44017f87",
    "metadata": {
     "editable": true
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@@ -558,7 +558,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "281ae919",
+   "id": "0e4bc241",
    "metadata": {
     "editable": true
    },
@@ -570,7 +570,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3604e435",
+   "id": "226339d0",
    "metadata": {
     "editable": true
    },
@@ -580,7 +580,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "cb6e58c2",
+   "id": "22627a64",
    "metadata": {
     "editable": true
    },
@@ -592,7 +592,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "65111a57",
+   "id": "e692e756",
    "metadata": {
     "editable": true
    },
@@ -606,14 +606,12 @@
     "Discuss the bias and variance trade-off as function\n",
     "of your model complexity (the degree of the polynomial) and the number\n",
     "of data points, and possibly also your training and test data using the **bootstrap** resampling method.\n",
-    "You can follow the code example in the jupyter-book at <https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/chapter3.html#the-bias-variance-tradeoff>.\n",
-    "\n",
-    "Note also that when you calculate the bias, in all applications you don't know the function values $f_i$. You would hence replace them with the actual data points $y_i$."
+    "You can follow the code example in the jupyter-book at <https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/chapter3.html#the-bias-variance-tradeoff>."
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "54283cc7",
+   "id": "8dc1e0c1",
    "metadata": {
     "editable": true
    },
@@ -638,7 +636,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "47078a1a",
+   "id": "b7e92ecb",
    "metadata": {
     "editable": true
    },
@@ -658,7 +656,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "97849c2c",
+   "id": "d5c0bb8b",
    "metadata": {
     "editable": true
    },
@@ -675,7 +673,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c37b1811",
+   "id": "f253b365",
    "metadata": {
     "editable": true
    },
@@ -703,7 +701,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "646b70df",
+   "id": "bbd345fb",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -715,7 +713,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5107f3b6",
+   "id": "8342b19a",
    "metadata": {
     "editable": true
    },
@@ -727,7 +725,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "24ae3ba0",
+   "id": "adf76147",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -753,7 +751,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1f239875",
+   "id": "e7ed037b",
    "metadata": {
     "editable": true
    },
@@ -778,7 +776,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ea729b77",
+   "id": "5a0572b6",
    "metadata": {
     "editable": true
    },
@@ -792,7 +790,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "61fd5713",
+   "id": "ac2218c8",
    "metadata": {
     "editable": true
    },
@@ -822,7 +820,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9579c5f3",
+   "id": "32926fbf",
    "metadata": {
     "editable": true
    },
@@ -844,7 +842,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ecf2eb04",
+   "id": "c16d8495",
    "metadata": {
     "editable": true
    },
diff --git a/doc/Projects/2022/Project1/ipynb/ipynb-Project1-src.tar.gz b/doc/Projects/2022/Project1/ipynb/ipynb-Project1-src.tar.gz
index 4cffa264f..bd1eae7c9 100644
Binary files a/doc/Projects/2022/Project1/ipynb/ipynb-Project1-src.tar.gz and b/doc/Projects/2022/Project1/ipynb/ipynb-Project1-src.tar.gz differ
diff --git a/doc/Projects/2022/Project1/pdf/Project1.p.tex b/doc/Projects/2022/Project1/pdf/Project1.p.tex
index 130c4ecc0..15f6d9278 100644
--- a/doc/Projects/2022/Project1/pdf/Project1.p.tex
+++ b/doc/Projects/2022/Project1/pdf/Project1.p.tex
@@ -450,8 +450,6 @@ of your model complexity (the degree of the polynomial) and the number
 of data points, and possibly also your training and test data using the \textbf{bootstrap} resampling method.
 You can follow the code example in the jupyter-book at \href{{https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/chapter3.html#the-bias-variance-tradeoff}}{\nolinkurl{https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/chapter3.html\#the-bias-variance-tradeoff}}.
 
-Note also that when you calculate the bias, in all applications you don't know the function values $f_i$. You would hence replace them with the actual data points $y_i$.
-
 \paragraph{Part d):  Cross-validation as resampling techniques, adding more complexity.}
 The aim here is to write your own code for another widely popular
 resampling technique, the so-called cross-validation method.  Again,
diff --git a/doc/Projects/2022/Project1/pdf/Project1.pdf b/doc/Projects/2022/Project1/pdf/Project1.pdf
index c64d5e78f..0d300eeef 100644
Binary files a/doc/Projects/2022/Project1/pdf/Project1.pdf and b/doc/Projects/2022/Project1/pdf/Project1.pdf differ
diff --git a/doc/Projects/2022/Project1/pdf/Project1.tex b/doc/Projects/2022/Project1/pdf/Project1.tex
index eed358f11..4dce85388 100644
--- a/doc/Projects/2022/Project1/pdf/Project1.tex
+++ b/doc/Projects/2022/Project1/pdf/Project1.tex
@@ -420,8 +420,6 @@ of your model complexity (the degree of the polynomial) and the number
 of data points, and possibly also your training and test data using the \textbf{bootstrap} resampling method.
 You can follow the code example in the jupyter-book at \href{{https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/chapter3.html#the-bias-variance-tradeoff}}{\nolinkurl{https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/chapter3.html\#the-bias-variance-tradeoff}}.
 
-Note also that when you calculate the bias, in all applications you don't know the function values $f_i$. You would hence replace them with the actual data points $y_i$.
-
 \paragraph{Part d):  Cross-validation as resampling techniques, adding more complexity.}
 The aim here is to write your own code for another widely popular
 resampling technique, the so-called cross-validation method.  Again,
diff --git a/doc/src/Projects/2022/Project1/Project1.do.txt b/doc/src/Projects/2022/Project1/Project1.do.txt
index 218bf785e..2a7da10ed 100644
--- a/doc/src/Projects/2022/Project1/Project1.do.txt
+++ b/doc/src/Projects/2022/Project1/Project1.do.txt
@@ -320,8 +320,6 @@ of your model complexity (the degree of the polynomial) and the number
 of data points, and possibly also your training and test data using the _bootstrap_ resampling method.
 You can follow the code example in the jupyter-book at URL:"https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/chapter3.html#the-bias-variance-tradeoff".
 
-Note also that when you calculate the bias, in all applications you don't know the function values $f_i$. You would hence replace them with the actual data points $y_i$.
-
 
 === Part d):  Cross-validation as resampling techniques, adding more complexity  ===