Merge pull request #86 from CUQI-DTU/fix_small_typo

Fix a typo and remove redundant display of sample shape

Author: chaozg

README.md

@@ -1,3 +1 @@
-**Note: the mini-book is under construction**
-
 It is available at https://cuqi-dtu.github.io/CUQI-Book

chapter03/basics_distributions.ipynb

@@ -7,7 +7,7 @@
    "source": [
     "# Introduction to distributions and basic sampling in CUQIpy\n",
     "\n",
-    "This notebooks describes basic usage of distributions in CUQIpy including visualizing their probability density function (PDF) and cumulative distribution function (CDF), and generating samples. Then conditional distributions are demonstrated along with the creation of user-defined distributions.\n",
+    "This notebook describes basic usage of distributions in CUQIpy including visualizing their probability density function (PDF) and cumulative distribution function (CDF), and generating samples. Then conditional distributions are demonstrated along with the creation of user-defined distributions.\n",
     "\n",
     "\n",
     "## Learning objectives of this notebook:\n",
@@ -470,8 +470,7 @@
    "outputs": [],
    "source": [
     "y_samples = y.sample(1000)\n",
-    "print(y_samples)\n",
-    "y_samples.shape"
+    "print(y_samples)"
    ]
   },
   {

intro.md

@@ -1,16 +1,10 @@
 # Uncertainty Quantification in Inverse Problems with CUQIpy
 
-**Note: this mini-book is under construction**
-
 Welcome to the mini-book on "Uncertainty Quantification in Inverse Problems with CUQIpy".
 This mini-book contains training material on how to use the [CUQIpy](https://github.com/CUQI-DTU/CUQIpy) library for uncertainty quantification in inverse problems. It also covers some of the theoretical background behind the methods implemented in CUQIpy.
 
 > ⚠️ **Disclaimer:** The code in this book runs without a fixed random seed, so results will vary with each re-compilation and user run. While conclusions should remain consistent, specific values may differ due to the probabilistic nature of Bayesian sampling, which is fundamental when working with uncertainty quantification.
 
-
-
-
-
 ## Table of contents
 
 ```{tableofcontents}
@@ -25,4 +19,4 @@ This mini-book contains training material on how to use the [CUQIpy](https://git
 
 - [Chao Zhang](https://github.com/chaozg)
 
-- [Felipe Uribe](https://github.com/furibec)
+- [Felipe Uribe](https://github.com/furibec)