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Objetivos

01

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How to customize formatting for each rich text

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02

What’s a Rich Text element?

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

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04

Perfil de Estudiante

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Temario

What’s a Rich Text element?

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

Evaluación y proyectos

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Bourbaki Finanzas

Estadística avanzada para la Ciencia de Datos y las Finanzas

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1.-Bloque Uno

​El bloque uno está enfocado en tres objetivos principales, cada uno corresponde a uno de los índices del temario siguiente:Introducir el estudio axiomático y formal de regularización en estadística bayesiana so pretexto practicar el razonamiento matemático riguroso a partir de ejemplos sencillos para después avanzar en aspectos más complicados de la teoría.Invitar al alumno a estudiar métodos bayesianos similares a la simulación Monte Carlo con el objetivo de poder compararlos y estudiarlos con detalle.Comenzar el estudio sistemático de Extreme Value Theory con miras a susaplicaciones financieras y sus algoritmos de simulación.

  • Regularización y estadística
  • Herramientas estadísticas
  • Máxima verosimilitud y Machine Learning
  • Definición formal de overfitting
  • Regularizadores en Regresiones lineales y logísticasRedes neuronales
  • Interpretación geométrica y PCA

2. Métodos de muestreo bayesianos

  • Cadenas de Markov
  • Ley de los grandes números y teoremas de ergodicidad
  • Monte Carlo
  • Metropolis Hastling
  • Gibbs Sampling
  • Optimización global
  • Propp-Wilson
  • Velocidad del algoritmo y comparaciones

3. Introducción a Extreme value theory

  • Intuición y comparación
  • Distribución gaussiana en EVT
  • Ley de los grandes números en EVT
  • Aplicaciones a la teoría de Riesgo

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