Artificial Intelligence (AI) Concepts in Python

Overview

Learn the fundamentals behind AI and Machine Learning.

So what is all this AI fuss about? Machine Learning, Deep Learning, Predictive Analytics -- what is the reality behind the hype? How do machines actually learn and what are their limits? How can we use Machine Learning to recognize written digits, predict customer churn and find structure in Elon Musk's tweets? All this -- and much more -- is the topic of this course, which will introduce you to the world of AI in a gentle, but firm and very practical manner.

Syllabus

Introduction to AI
-Understand the definition of AI ( “general” and “narrow”), the relationship between AI and Machine Learning, and will the robots take over the world - soon?

Supervised Learning
-Learn about supervised learning, work with labeled data and train regression models.

Unsupervised Learning
-Learn about unsupervised learning, divide data into clusters, detect anomalies and select the right model for the job.

Deep Learning & Beyond
-Learn about deep learning, create your first neural networks, and train a model to recognize digits.