Python for Machine Learning in 40 Minutes | Machine Learning for Robotics | Lesson 3

Up to this point, we got a clear understanding of the importance of Machine Learning in Robotics. Additionally, we learned how to use Ubuntu, install software utilities, and set up virtual environments.

Here we will have a crash course on Python for our Machine Learning tutorials so that a lack of Python knowledge will not hinder you. The purpose of this lesson is to teach you how to use Spyder IDE for writing Python code. You will be introduced to variables, strings, lists, loops, if statements, and Numpy, which is very important for matrix and vector operations that are essential for Machine Learning.

🌟 Contents 🌟
💎 (00:00​​) Introduction
💎 (00:25​​) Recap of the previous lessons on machine learning for robotics
💎 (00:51​​) Objectives of the current lesson
💎 (01:35​​) Using Spyder IDE to write quick Python codes
💎 (03:07​​) Introducing variables, strings, and lists in Python
💎 (20:35​​) Introducing if statements and loops in Python
💎 (26:46​​) Introducing Numpy and understanding matrices and vectors in Python
💎 (37:34​​) Summary

Note that for your convenience, all lessons are organized into a playlist.

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[nesbionics]

thanks for your time, I find many similarities with C programming, but in python it is much simpler to define variables and arrays as it is also very powerful with the operations it performs with vectors and arrays, for now I see the power of this type of programming language, of course, to run this we are talking about high-speed controllers, I say this to be able to do these operations quickly, do you know if it exists for 8-bit microcontrollers??? LOL.ur time