Principles of Machine Learning. MPP Data Science

Este curso pertenece al Microsoft Professional Program for Data Science

 

Índice

Before You Start

  • Introduction

Module 1: Classification

  • Lesson 1: Introduction to Classification
  • Lesson 2: Building Classification Models
  • Lab

Module 2: Regression

  • Lesson 1: Introduction to Regression
  • Lesson 2: Creating Regression Models
  • Lab

Module 3: Improving Machine Learning Models

  • Lesson 1: Principles of Model Improvement
  • Lesson 2: Techniques for Improving Models
  • Lab

Module 4: Tree and Ensemble Methods

  • Lesson 1: Introduction to Decision Trees
  • Lesson 2: Ensemble Methods
  • Lab

Module 5: Optimization-Based Methods

  • Lesson 1: Neural Networks
  • Lesson 2: Support Vector Machines (SVMs)
  • Lab

Module 6: Clustering and Recommenders

  • Lesson 1: Clustering
  • Lesson 2: Recommenders
  • Lab

Final Exam and Survey

  • Final Challenge
  • Post-Course Survey

       

      Soporte

      Curso con soporte individualizado según se indica en https://nanfor.com/pages/soporte-2-0 

       

      * Todas las tarifas son bonificables menos el examen solo.

        €295.00