• LM101-081: Ch3: How to Define Machine Learning (or at Least Try)

  • Apr 9 2020
  • Duración: 37 m
  • Podcast

LM101-081: Ch3: How to Define Machine Learning (or at Least Try)

Escúchala gratis

Ver detalles del espectáculo

  • Resumen

  • This particular podcast covers the material in Chapter 3 of my new book “Statistical Machine Learning: A unified framework” with expected publication date May 2020. In this episode we discuss Chapter 3 of my new book which discusses how to formally define machine learning algorithms. Briefly, a learning machine is viewed as a dynamical system that is minimizing an objective function. In addition, the knowledge structure of the learning machine is interpreted as a preference relation graph which is implicitly specified by the objective function. In addition, this week we include in our book review section a new book titled “The Practioner’s Guide to Graph Data”  by Denise Gosnell and Matthias Broecheler. To find out more information visit the website: www.learningmachines101.com .
    Más Menos
Más Menos

Lo que los oyentes dicen sobre LM101-081: Ch3: How to Define Machine Learning (or at Least Try)

Calificaciones medias de los clientes

Reseñas - Selecciona las pestañas a continuación para cambiar el origen de las reseñas.

Reseñas de Audible.com

Opiniones de Amazon
No hay comentarios disponibles