This question comes to every machine learning beginner. What should I use? The jupyter notebook or Google Colab for machine learning?
We don’t want to be opinionated in this regard. Quite certainly we should not force you to accept one and discard the other.
Instead what we are going to place are advantages and disadvantages.
Now the choice is yours.
When the jupyter notebook is local, Google Colab is cloud based.
If you are a complete beginner your journey to learn TensorFlow might start from here.
For the TensorFlow beginners we have a dedicated category – TensorFlow for Beginners.
But besides that, you may need to learn several other machine learning and data science libraries.
As a result, you may check these categories as well – NumPy, Pandas, Matplotlib.
However, without learning Python, you cannot learn the usages of these libraries. Why? Because they all use Python as the Programming language.
Therefore please learn Python at the very beginning and start learning TensorFlow.
And, finally please check our Mathematics, Discrete Mathematics and Data Structures categories specially. We have tried to discuss from basic to intermediate level so that you can pick up the core ideas of TensorFlow.
You need to install the jupyter notebook in your machine.
In that case, the best choice is to install anaconda package in your machine.
It comes with the jupyter notebook and Pandas library which is unparalleled in both data science and machine learning.
If you are a Linux man, using Ubuntu, a good choice is you install anaconda package and machine learning platform.
You can download the ‘sh’ file and set the execute command.
After running the file you will keep getting the prompts and finally anaconda is installed in your machine.
You can start the jupyter notebook by typing – jupyter-notebook.
We’re not suggesting the whole process is slightly cumbersome, but certainly it takes time to warm everything up.
Therefore it’s up to you. The decision is yours.
Remember, millions of people use the jupyter notebook locally.
On top of that you get the Pandas library. However, for other libraries you need to install them.
jupyter notebook or Google Colab
On the contrary, Google Colab is cloud based. As a result, we don’t need to install anything.
All you need is a Google username so that we can sign in and start the machine learning practice.
The great advantage of Google Colab is we don’t have to install any library either.
We can import any library and start working with it.
What Next?
TensorFlow, Machine Learning, AI and Data Science
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