edX MOOC / Non-credit 0

Implementing AI Algorithms from Scratch

Name: Implementing AI Algorithms from Scratch
Price: 160 USD
Availability: InStock

About this course

Build core artificial intelligence and machine learning algorithms from scratch to understand how they work beneath high-level libraries. This advanced path covers neural networks, clustering, ensembles, optimization, classification, and regression.

59/100

CourseAsk score

What the provider tells you: 23/45
Who stands behind it: 20/35
How complete the listing is: 16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

Implement a basic neural network with forward and backward propagation
Code clustering algorithms such as k‑means and hierarchical clustering
Construct ensemble methods including random forests and boosting
Apply gradient‑based optimization techniques to train models
Develop classification and regression models without relying on pre‑built libraries

Course objectives

Understand the mathematical foundations of key AI algorithms
Translate algorithmic equations into working Python code
Analyze the behavior and performance of hand‑written models
Compare custom implementations with library equivalents

Artificial Intelligence #regression #classification #artificial intelligence #machine learning #programming #neural networks #ensemble methods #optimization techniques #data clustering #algorithm development #backpropagation #gradient descent #k-means #hierarchical clustering #random forest #boosting #linear regression #logistic regression #optimization #loss functions #python #algorithm implementation

$160.00

Price shown by edX — confirm on their site.

Enroll on edX

You'll be redirected to edX to complete enrollment.