My guess is I have to install a library that renders markdown in a certain way, but I don’t know how to find out its name.
The original markdown:

## Notation
Here is a summary of some of the notation you will encounter.
|General <img width=70/> <br /> Notation <img width=70/> | Description<img width=350/>| Python (if applicable) |
|: ------------|: ------------------------------------------------------------||
| $a$ | scalar, non bold ||
| $\mathbf{a}$ | vector, bold ||
| **Regression** | | | |
| $\mathbf{x}$ | Training Example feature values (in this lab - Size (1000 sqft)) | `x_train` |
| $\mathbf{y}$ | Training Example targets (in this lab Price (1000s of dollars)) | `y_train`
| $x^{(i)}$, $y^{(i)}$ | $i_{th}$Training Example | `x_i`, `y_i`|
| m | Number of training examples | `m`|
| $w$ | parameter: weight | `w` |
| $b$ | parameter: bias | `b` |
| $f_{w,b}(x^{(i)})$ | The result of the model evaluation at $x^{(i)}$ parameterized by $w,b$: $f_{w,b}(x^{(i)}) = wx^{(i)}+b$ | `f_wb` |

Can I have some help on this? My lab version is Version 4.0.5

Also, I’d love to know how I can find if I have any missing python libraries to install when I download notebook files/folders like this one to run locally. For this one I downloaded the entire folder including images, other notebook lab files, some python files.

The easiest way is to run the code and as soon as there is a missing library, you will get an error. Another way is to run through the notebook on Cousera, and print all the used packages, and compare the printed list to your list of installed packages.

Thank you. I guess my version being more recent, the markdown rules might have been changed. I could get it looking similar by updating the markdown as following:

## Notation
Here is a summary of some of the notation you will encounter.
| General<br/><br/>Notation | <br/><br/>Description | <br/><br/>Python (if applicable) |
| -: | -: | -: |
| $a$ | scalar, non bold ||
| $\mathbf{a}$ | vector, bold ||
| **Regression** ||||
| $\mathbf{x}$ | Training Example feature values (in this lab - Size (1000 sqft))| `x_train` |
| $\mathbf{y}$ | Training Exampletargets (in this lab Price (1000s of dollars))| `y_train`
| $x^{(i)}$, $y^{(i)}$ | $i_{th}$Training Example | `x_i`, `y_i`|
| m | Number of training examples | `m`|
| $w$ |parameter: weight | `w`|
| $b$ |parameter: bias | `b`|
| $f_{w,b}(x^{(i)})$ | The result of the model evaluation at $x^{(i)}$ parameterized by $w,b$: $f_{w,b}(x^{(i)}) = wx^{(i)}+b$ | `f_wb` |

I guess the img tag used in the original markdown is using some library, but I don’t dare to compare the Coursera libraries and my local because there are way too many of difference.