Launching into Machine Learning (Spanish)
Free Course Offered by Google Cloud - coursera
Learn How to Sign up to Coursera courses for free
Machine learning is a form of AI that allows a system to learn from data rather than through explicit programming. However, machine learning is not a simple process. As the algorithm ingests training data, it is possible to produce more accurate models based on the data. A machine learning model is the information output that is generated when you train your machine learning algorithm on data. After training, providing a model with an input will give it an output. For example, a predictive algorithm will create a predictive model. Next, when you provide the predictive model with data, you receive a forecast based on the data that trained the model.
About this Course
We'll start with the history of machine learning and discuss why neural networks are currently performing so well for a wide variety of data science problems. Then we will see how to set up a supervised learning problem and find a good solution using gradient descent. For this, it will be necessary to create data sets that allow generalization. We'll talk about methods to do it in a repeatable way that supports experimentation.
Course Objectives:
Identify why deep learning is popular today
Optimize and evaluate models using loss functions and performance metrics
Mitigate common problems that occur in machine learning
Create repeatable and scalable data sets for training, evaluation, and testing
Offered by Google Cloud
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
Syllabus - What you will learn from this course
Week 1 - 8 minutes to complete
Introducción al curso
En este curso, obtendrá conocimientos fundamentales sobre el AA que le permitirán entender la terminología que utilizaremos durante la especialización. También conocerá sugerencias prácticas y problemas de la mano de los profesionales del AA de Google y, cuando termine, tendrá el código y los conocimientos necesarios para iniciar sus propios modelos de AA.
Week 2 - 4 hours to complete
Mejorar la calidad de los datos y los análisis exploratorios de datos
En este módulo, presentaremos problemas de calidad de los datos y explicaremos cómo solucionarlos. Luego, observaremos los análisis exploratorios de datos.
Week 3 - 8 hours to complete
AA práctico
En este módulo, presentaremos algunos de los tipos principales de aprendizaje automático y revisaremos la historia del AA hasta llegar a las últimas novedades para que pueda acelerar su crecimiento como profesional del AA.
Week 4 - 3 hours to complete
Optimización
En este módulo, lo guiaremos para que optimice sus modelos de AA.
Week 5 - 4 hours to complete
Generalización y muestreo
Ahora es momento de responder una pregunta algo extraña: ¿en qué casos no hay que elegir el modelo de AA más preciso? Lo insinuamos en el módulo anterior sobre optimización: que un modelo tenga una métrica de pérdida de 0 para el conjunto de datos de entrenamiento no indica que tendrá un buen rendimiento con datos nuevos en el mundo real. Aprenderá a crear conjuntos de datos repetibles para entrenamiento, evaluación y prueba, y a establecer comparativas de rendimiento.
Week 6 - 1 hour to complete
Resumen
- Start Learning Today
- This Course Plus the Full Specialization
- Shareable Certificates
- Self-Paced Learning Option
- Course Videos & Readings
- Practice Quizzes
- Graded Assignments with Peer Feedback
- Graded Quizzes with Feedback
- Graded Programming Assignments
|
|
Our task is to centralize the largest number of courses, training, tutorials, videos to make it easier for you to search when you want to train.
Generally, we incorporate those that are free, but if we find some interesting ones that are paid, we add them so that your training is more profitable and professional.
Keep training yourself to become a better professional or simply for personal achievements, cheer up, don't give up and go ahead !!!.
Good luck !!! The team of:
|