Scratch the image to get a discount on your course. You'll be able to apply the coupon at checkout.

5.0 /5
(22)

121
Bienvenidos al curso Fundamentos matemáticos de ML
Introducción
El repositorio GitHub del curso
Cómo sacarle el máximo partido al curso
Toma notas de tu curso en tiempo real en Frogames Formación
¿Qué es el Álgebra Lineal?
Una breve historia del Álgebra
Representar un sistema de ecuaciones lineales
Un ejercicio de álgebra lineal
Un ejercicio de álgebra lineal
Qué son los Tensores
Escalares
Vectores y Transposición de Vectores
Normas y Vectores Unitarios
Bases, Vectores Ortogonales y Ortonormales
Matrices
Notación Tensorial Genérica
Ejercicio Final de Estructuras de Álgebra Lineal
Rutas de Aprendizaje
Introducción
Transposición Tensorial
Aritmética Tensorial Básica y Producto de Hadamard
Reducción de Tensores
El producto escalar
Ejercicios de operaciones con Tensores
Resolución de Sistemas Lineales por Sustitución
Resolución de Sistemas Lineales por Eliminación
Visualización de Sistemas Lineales
Introducción
La Norma de Frobenius
La Multiplicación de Matrices
La Matriz Simétrica y la Matriz Identidad
Ejercicio de producto de matrices
La Inversa de una Matriz
Matrices Diagonales
Matrices ortogonales
Ejercicios Finales Introducción al Álgebra Lineal
Ejercicios Finales Introducción al Álgebra Lineal
Introducción al Segmento
Aplicaciones de Matrices
Transformaciones Afines
Valores y Vectores Propios
Determinantes de Matrices
Determinantes de orden superior
Ejercicios de determinantes
Determinantes y Valores Propios
Descomposición Propia
Aplicaciones de los Valores y los Vectores Propios
Introducción al Segmento
Descomposición en valor singular
Compresión de datos con SVD
La pseudo inversa de Moore Penrose
Regresión con la pseudo inversa
El operador Traza
Análisis de Componentes Principales
Recursos adicionales para seguir aprendiendo Álgebra Lineal
Introducción al Segmento
Introducción al cálculo diferencial
Introducción al cálculo integral
El método por agotamiento
Cálculo de infinitesimales
Aplicaciones del cálculo
Cálculo de límites
Ejercicios de límites
Solución a los ejercicios de límites
Introducción al segmento
El método Delta
Como obtener derivadas a partir de límites
La notación de las derivadas
Derivada de una constante
La regla de la potencia
La regla del múltiplo por un constante
La regla de la suma
Ejercicios para practicar derivadas
La regla del producto
La regla del cociente
La regla de la cadena
Ejercicios finales de derivadas
La regla de la potencia combinada con la regla de la cadena
Introducción al segmento
¿Qué es la diferenciación automática?
Diferenciación automática en Pytorch
Diferenciación automática en Tensorflow
La ecuación de la recta de regresión como grafo tensorial
Cómo funciona el aprendizaje en Machine Learning con Autodiff I
Cómo funciona el aprendizaje en Machine Learning con Autodiff II
Introducción al Segmento
¿Qué son las derivadas parciales?
Ejercicios de Derivadas Parciales
Ejercicios de Derivadas Parciales
Cálculo de Derivadas Parciales con Autodiff
Derivadas Parciales Avanzadas
Ejercicios de Derivadas Parciales Avanzadas
Ejercicios de Derivadas Parciales Avanzadas
Notación de las Derivadas Parciales
Regla de la Cadena para Derivadas Parciales
Ejercicios de Regla de la Cadena Multivariante
Ejercicios de Regla de la Cadena Multivariante
Recta de regresión en un punto
El gradiente del Coste Cuadrático
El descenso del gradiente del coste
El gradiente del error cuadrático medio
La propagación hacia atrás
Derivadas de orden superior
Ejercicios de Derivadas de Orden Superior
Ejercicios de Derivadas de Orden Superior
Introducción al segmento
Clasificación Binaria
La matriz de confusión
Las curvas ROC
Qué es el cálculo integral
Reglas básicas de integración
Ejercicios de integrales indefinidas
Integrales definidas
Integración Numérica con Python
Ejercicios de integrales definidas
Encontrar el área bajo la curva ROC
Recursos para seguir aprendiendo cálculo
Proyecto Final de Curso
Fin de la primera parte
Hemos terminado una aventura juntos, ¡pero vamos a por la siguiente!

instructor

5.0 /5
(22)

  • Avatar
    Jorge
    (5)
    Now I actually understand what's going on behind the models

    I used to get frustrated not understanding the math logic, and here they helped me unlock that knowledge. I love how they connect each formula to its real-world use in machine learning. It gave me a solid foundation that helps me feel much more confident in this field.

  • Avatar
    Raúl
    (5)
    Mathematics Fundamentals for ML

    Excellent course, I've learned so much, thanks a lot

  • Avatar
    Javi
    (5)
    Math doesn't scare me anymore

    I always thought numbers weren't my thing, but the way they explain this is super friendly. They give you just the right foundations so you understand what you're doing without overcomplicating things with impossible formulas. It gave me a lot of confidence to keep moving forward in this world.

  • Avatar
    Giovanni
    (5)
    The math that finally makes sense

    I've always had respect for Machine Learning because of its mathematical weight, but this fundamentals course makes everything click quickly. The concepts are explained with impeccable logic and without unnecessary detours

  • Avatar
    Santiago
    (5)
    Invaluable fundamentals

  • Avatar
    Nicolás
    (5)
    Lay the foundations of mathematics for ML

  • Avatar
    Silvana
    (5)
    The foundations that support everything

    This mathematics fundamentals course made me understand why algorithms work the way they do. It gave me the confidence to move forward with more complex courses.

  • Avatar
    Sara
    (5)
    I finally understood the fundamentals

  • Avatar
    Jackeline
    (5)
    The best part was how each concept connected with real-world applications.

  • Avatar
    Rocío
    (5)
    Very complete

  • Avatar
    Rosa
    (5)
    Interesting and practical

  • Avatar
    Nieves
    (5)
    Fundamentals of Mathematics for Machine Learning: master the foundation that powers artificial intelligence

    This course teaches the essential mathematical concepts behind machine learning, combining rigorous theory with practical applications in Python, TensorFlow and PyTorch. You'll learn linear algebra, differential and integral calculus, statistics, probability, optimization and information theory, all applied to real models. The approach is progressive, with visualizations, guided exercises and interactive demonstrations that let you understand how algorithms work under the hood.

  • Avatar
    Angel
    (5)
    Fundamentos de Matemáticas para Machine Learning

    This course gives you a solid mathematical foundation to understand how Machine Learning algorithms work "under the hood". Through clear explanations and code demonstrations, you'll learn the essential pillars: linear algebra, differential and integral calculus, statistics and probability.

  • Avatar
    María
    (5)
    This is exactly what I needed to get over my fear of math.

    The explanations are super clear and I finally understand how things work behind the machines. Highly recommended!

  • Avatar
    Samuel
    (5)
    Awesome

    If you're like me and numbers overwhelm you, you're going to love this course. They explain everything in a simple and clear way, and now math and I are friends

  • Avatar
    Maria del Mar
    (5)
    Mathematics made easy

    Juan Gabriel is a wizard with these subjects. Whether it's quantum nuclear physics, he'll explain it so that a five-year-old can understand it. A course we absolutely recommend.

  • Avatar
    Gabriela
    (5)
    The foundation I needed

    I didn't think mathematics could be so useful for Machine Learning until I took this course. Now everything makes so much more sense!

  • Avatar
    Carlos
    (5)
    Fundamentals of Mathematics for Machine Learning - Clear and practical explanations

    This course is a great choice for anyone looking to strengthen their mathematical foundations before diving into Machine Learning.

  • Avatar
    Joiser
    (5)
    Incredibly awesome

    It's ideal for both beginners like me and for those looking to strengthen their knowledge. Highly recommended!

  • Avatar
    Caty
    (5)
    A gem

    I'm sure that just like this course has helped me, it can also help another peer 100% recommended

  • Avatar
    Alexander
    (5)
    Excellent

    There's always got to be a starting point, and this course gives you all the information you need to understand everything from the basics to the most advanced stuff. It's an excellent course.

  • Avatar
    Yeison
    (5)
    Excellent for ML

    This course helps you understand all the mathematical background needed for Machine Learning algorithms. In a didactic and very easy way I can understand and apply the mathematics required in ML models. Thank you so much Frogames team

View More Reviews

PLANS TO MATCH YOUR GOALS AND NEEDS

Buy the individual course, get all the learning path or access to the entire platform

Choose the payment method that works best for your needs and budget with a one-time course payment, monthly or yearly access to the learning Path, or even to the entire platform.

One-Time Payment

Buy the course once and access it for life

59.99

  • A single payment
  • Instant lifetime access to the course
  • Access the course community
El Más
Popular

Bronze Frog

Access all Frogames courses, communities and extras

39 /month

  • Single payment of 39€ per month
  • Instant access to all courses
  • Access the platform and communities 24/7, wherever and whenever you want
  • Cancel anytime without losing your progress

Path of Data Analysis

Access all courses in the Data Analysis Path

19.99 /month

  • Single payment of 19.99€ per month
  • Instant access to the +10 courses in the Path
  • Access the Path 24 / 7, wherever and whenever you want
  • Cancel anytime without losing your progress

One-time payment

Buy the course once and access it for life

59.99

  • A single payment
  • Instant lifetime access to the course
  • Access the course community
El Más
Valorado

Gold Frog

Access all Frogames courses, communities and extras

349 /year

  • Single payment of €349 per year
  • 3 months of discount
  • Instant access to all courses
  • Access the platform and communities 24/7, wherever and whenever you want
  • Cancel anytime without losing your progress
  • Resource Library
  • Monthly Q&A livestreams
  • Premium support

Path of Data Analysis

Access all courses in the Data Analysis Path

199 /year

  • Single annual payment of €199
  • 4 months of discount
  • Instant access to the +10 courses in the Path
  • Access the Path 24 / 7, wherever and whenever you want
  • Cancel anytime without losing your progress
  • Premium support

* All prices include taxes.

For your security, all orders will be processed on a secure server.

Path of Data Analysis

The ultimate pack with all our Data Analysis courses with R and Python to turn you into a well-paid Data Scientist. Includes upcoming courses and updates and improvements to current ones

Introducción al Machine Learning con Python

Learn Python fundamentals for Machine Learning with a deep dive into Pandas, Numpy and Matplotlib and apply it to a final project

27 classes

Fundamentos de Matemáticas para Machine Learning

The essential foundations of Linear Algebra and practical Calculus explained in Python's three star libraries: NumPy, TensorFlow and PyTorch

121 classes

Fundamentos Intermedios de Matemáticas para Machine Learning

Master the essential math for ML: Probability, Information Theory and statistics with NumPy, TensorFlow and PyTorch—all totally hands-on

102 classes

Una semana de ciencia de datos en Python

Master the fundamentals of Data Science quickly and efficiently in just one week! A course designed especially for busy people!

155 classes

Fundamentos Avanzados de Matemáticas para Machine Learning

Master the advanced mathematics you need for ML: optimization, gradients, Hessian matrices, data structures and sorting algorithms with TensorFlow, PyTorch and practical tools

93 classes

Machine Learning from A to Z

Learn over 40 Machine Learning algorithms in both Python and R with Data Science experts. Complete source code and a bonus book included! Over 50 hours of video tutorials to help you master ML!

304 classes

Probabilidad y Estadística aplicada a Negocios y Empresas

Learn to apply statistics and probability to business and company problems using your own data or your clients' data

162 classes

Curso completo de R para Data Science con Tidyverse

Learn to manipulate data in R with the free tidyverse library: visualize your data with ggplot and create professional reports from RStudio

226 classes

Curso completo de Machine Learning: Data Science con RStudio

Learn to analyze data and get started in Machine Learning with Juan Gabriel Gomila's professional tricks applied with the statistical language R

237 classes

Tratamiento de datos en Python: ETL de cero a experto

Master the essential data processing operations with Python: data extraction, transformation, and loading. Take your Python library skills to the next level

84 classes

Curso completo de Machine Learning: Data Science en Python

The course that's taught thousands of people in Spanish. Learn Machine Learning algorithms with Python to become a Data Scientist and download the code from minute one

235 classes

Databases: Learn SQL from scratch

Learn SQL, the language of databases, from scratch with practical exercises to master loading, querying, modifying and managing your data while learning all the key SQL commands.

82 classes

Aprende a analizar los datos del COVID19 con R y Python

Apply data analysis and statistics knowledge in R and Python to COVID-19 epidemiological data

59 classes

Data Science aplicado a Negocios | 6 Casos de Estudio Reales

Solve 6 real-world business problems: Build AI, DL, and NLP models to predict sales, boost marketing, or optimize HR and PR operations

79 classes