Simulate Machine Intel w/Fuzzy Logic, Google Sheets & BigML

ofrecido por
Coursera Project Network
En este Proyecto guiado gratis, tú:

Understand the roles Fuzzy Logic and Set Theory play in Machine Learning

Discover various uses for Set Theory and Google Sheets

Run both a Cluster Analysis and Tree Analysis of it in BigML using a provided dataset

Demuestra esta experiencia práctica en una entrevista

Clock2 hours
BeginnerIdeal para principiantes
CloudNo se necesita descarga
VideoVideo de pantalla dividida
Comment DotsInglés (English)
LaptopSolo escritorio

How does your toaster know what “darker” means and what to do about it? Fuzzy logic is the foundation of how machines synthesize human understanding of qualitative values. By the end of this project, learners will discover how fuzzy logic works using set theory, and create machine-learning analyses of datasets using the Google Sheets add-on BigML. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Requerimientos

None required.

Habilidades que desarrollarás

Fuzzy LogicMachine LearningBigMLGoogle SheetsSet Theory

Aprende paso a paso

En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:

  1. Understand machine thinking and fuzzy logic

  2. Apply set theory as a framework for fuzzy logic

  3. Discuss some other applications of fuzzy logic and set theory

  4. Use Google Sheets with set theory

  5. Get familiar with BigML and some of its uses

  6. Use BigML to analyze machine learning and create pattern analyses in complex data

Cómo funcionan los proyectos guiados

Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.

En un video de pantalla dividida, tu instructor te guía paso a paso

Preguntas Frecuentes

Preguntas Frecuentes

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