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Intro to Machine Learning
Rating: 4.2 out of 5(7 ratings)
481 students

Intro to Machine Learning

Basics of ML
Last updated 3/2026
English

What you'll learn

  • Understand exactly why machine learning exists and why it changed everything we thought computers could do
  • See inside a neural network and understand what is actually happening layer by layer as data flows through it
  • Grasp how a single artificial neuron thinks, what it receives, what it calculates, and what it sends forward
  • Follow the full learning journey of a neural network, from knowing absolutely nothing to making accurate predictions
  • Understand activation functions and why without them, none of the AI breakthroughs you've heard about would exist
  • Demystify gradient descent and backpropagation, the engines that actually drive a machine learning model to improve
  • Recognize overfitting before it ruins a model, and know exactly what to do about it
  • Walk away seeing the world differently, spotting machine learning in your email, your phone, your hospital, and your car

Course content

5 sections5 lectures53m total length
  • Introduction and What is Machine Learning?13:53

Requirements

  • No coding, no programming, no technical experience of any kind required

Description

Have you ever looked at a headline about artificial intelligence and felt like everyone around you understood something that you didn't? This course was built for you.

Machine Learning Fundamentals is a beginner-friendly, jargon-free introduction to one of the most important technologies ever created. No math. No coding. No prior experience needed. Just clear, honest teaching that actually respects your intelligence.

In this course you will learn:

  • What machine learning actually is and why it changed computing forever

  • How neural networks are structured and why that structure matters

  • What an artificial neuron does and how it computes its output

  • How a neural network goes from knowing nothing to making accurate predictions

  • What activation functions are and why they make deep learning possible

  • How gradient descent and backpropagation drive a model to improve

  • What overfitting is, how to spot it, and how to fix it

  • Where machine learning is already operating in your everyday life

This course is produced by CodeWithPurpose, a global nonprofit bringing free tech education to students across 110 countries and 20 languages. Every lesson is designed with one goal in mind: to make knowledge that used to be reserved for university classrooms accessible to absolutely anyone, anywhere in the world.

If you have ever wanted to truly understand AI, this is your starting point.

Who this course is for:

  • urious minds of any age or background who want real knowledge, not buzzwords, not hype, but genuine understanding