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Machine Learning Basics Using Mindsdb


Mindsdb

About This Course

This course will be an introduction to the basics of machine learning, as well as a guide for using Mindsdb, an open source tool we've created to help you solve problems using machine learning.

What we'll be covering here will be:

  • The basic concepts and terminology used in machine learning
  • A very simple overview of using mindsdb to solve a problem
  • Having a quick look at a very simple machine learning algorithm as well as an overview of how machine learning models work in general
  • Taking a look at the problems of confidence and explainability, as well as how mindsdb tackles those problems
  • A more complex example of using mindsdb, which should bring you up to speed with the more advanced usages of the library.
  • Looking at the idea of domain expertise and why it's important when trying to solve problems using machine learning

Throughout the course there will be some simple questions, just to make sure that you are following along, as well as coding exercises that you can solve using mindsdb.

Requirements

Ideally, you should be able to use at least one programming language of your choice fluently, code examples will be provided in python, but it should be fairly easy to write out the exercises in any language you want (python is very similar to pseudo-code, so don't worry, you'll get the gist of the code here)

Course Staff

Course Staff Image #1

George Hosu

Senior Machine Learning Engineer at Mindsdb

Frequently Asked Questions

What web browser should I use?

The Open edX platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer, or Safari.

See our list of supported browsers for the most up-to-date information.

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