- Home
- All Courses
- Computación y Software
- Introducción a la Ciencia de Datos
Introducción a la Ciencia de Datos
Este curso introductorio lo lleva al mundo de la ciencia de datos. Aprenderá los principios básicos de la ciencia de datos, el análisis de datos y comprenderá cómo el aprendizaje automático está dando forma al futuro de los negocios, los servicios de salud, la educación y más. Los profesionales de ciencia de datos que pueden proporcionar información procesable para tomar decisiones basadas en datos tienen una gran demanda en todo el mundo.
You May Like
Convolutional Neural Networks with PyTorch
In this course you will gain practical skills to tackle real-world image analysis and computer vision challenges using PyTorch. Uncover the power of Convolutional...
Classification with PyTorch
Designed for students and enthusiasts, this course equips you with the knowledge and practical skills to build powerful and accurate classification models using PyTorch....
Generative Adversarial Networks and Reinforcement Learning
Generative adversarial networks (GANs) and Reinforcement Learning (RL) are highly sought-after skills in the job market. Companies across various industries are looking for professionals...
Autoencoders and Regularization – Learn and Implement
In this course, you'll explore how Autoencoders compress, denoise, and derive valuable features from data. You'll also delve into regularization to curb overfitting and...
Learn Recurrent Neural Networks Hands-On
In the real world, data often comes in sequences: text, speech, time-series data, and more. RNNs are the key to understanding and working with...
Convolutional Neural Networks with PyTorch
In this course you will gain practical skills to tackle real-world image analysis and computer vision challenges using PyTorch. Uncover the power of Convolutional...
Classification with PyTorch
Designed for students and enthusiasts, this course equips you with the knowledge and practical skills to build powerful and accurate classification models using PyTorch....
Generative Adversarial Networks and Reinforcement Learning
Generative adversarial networks (GANs) and Reinforcement Learning (RL) are highly sought-after skills in the job market. Companies across various industries are looking for professionals...
Autoencoders and Regularization – Learn and Implement
In this course, you'll explore how Autoencoders compress, denoise, and derive valuable features from data. You'll also delve into regularization to curb overfitting and...
Learn Recurrent Neural Networks Hands-On
In the real world, data often comes in sequences: text, speech, time-series data, and more. RNNs are the key to understanding and working with...
Convolutional Neural Networks with PyTorch
In this course you will gain practical skills to tackle real-world image analysis and computer vision challenges using PyTorch. Uncover the power of Convolutional...