Introduction to AI

An Introduction to AI is a free online course for everyone interested in learning what AI is, what is possible (and not possible) with AI, and how it affects our lives – with no complicated math or programming required.

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3 Estudiantes matriculados

Requisitos

Internet connection

Descripción

Part 1

Part 2

Building AI is a free online course where you’ll learn about the actual algorithms that make creating AI methods possible. Some basic Python programming skills are recommended to get the most out of the course.

Contenido del curso

0 min

	1.-What is AI_ - Elements of AI		mb
	1.1.-How should we define AI_ - Elements of AI		mb
	1.2.-Related fields - Elements of AI		mb

	2.-AI problem solving - Elements of AI		mb
	2.1.-Search and problem solving - Elements of AI		mb
	2.2.-Solving problems with AI - Elements of AI		mb
	2.3.-Search and games - Elements of AI		mb

	3.-Real world AI - Elements of AI		mb
	3.1.-Odds and probability - Elements of AI		mb
	3.2.-The Bayes rule - Elements of AI		mb
	3.3.-Naive Bayes classification - Elements of AI		mb

	4.-Machine learning - Elements of AI		mb
	4.1 The types of machine learning - Elements of AI		mb
	4.2.-The nearest neighbor classifier - Elements of AI		mb
	4.3.-Regression - Elements of AI		mb

	5.-Neural networks - Elements of AI		mb
	5.1.-Neural network basics - Elements of AI		mb
	5.2.-How neural networks are built - Elements of AI		mb
	5.3.-Advanced neural network techniques - Elements of AI		mb

	6.-Implications - Elements of AI		mb
	6.1.-About predicting the future - Elements of AI		mb
	6.2.-The societal implications of AI - Elements of AI		mb
	6.3.-Summary - Elements of AI		mb

	1.-Why AI matters - Building AI		mb
	2.-Optimization - Building AI		mb
	3.-Hill climbing - Building AI		mb

	2.1-Probability fundamentals - Building AI		mb
	2.2.-The Bayes Rule - Building AI		mb
	2.3.-Naive Bayes Classifier - Building AI		mb

	3.1.-Linear regression - Building AI		mb
	3.2.-The nearest neighbor method - Building AI		mb
	3.3.-Working with text - Building AI		mb
	3.4.-Overfitting - Building AI		mb

	4.1.-Logistic regression - Building AI		mb
	4.2.-From logistic regression to neural networks - Building AI		mb
	4.3.-Deep learning - Building AI		mb

	5.1.-Summary - Building AI		mb
	5.2.-Gallery - Building AI		mb
	5.3.-Gallery - Building AI		mb

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Sobre el instructor

Capacitador

Sobre el instructor

Somos un equipo de expertos en consultoria SAP, Tecnologias de la información y metodologias de innovación que trabajamos arduamente por ayudar e instruir a profesionales en temas de tecnologia.