¿Qué es el aprendizaje automático? ¿Qué tipos de problemas puede solucionar? ¿Cuáles son las cinco fases para convertir un posible caso práctico en un recurso que pueda aprovechar la tecnología de aprendizaje automático? ¿Por qué es importante no saltarse fases? ¿Por qué las redes neuronales son tan populares? ¿Cómo plantear un problema de aprendizaje supervisado y encontrar una buena solución generalizable mediante un descenso de gradientes y una forma meditada de crear conjuntos de datos? Aprenda a escribir modelos de aprendizaje automático distribuido que escalen en Tensorflow y que brinden predicciones de alto rendimiento. Convierta los datos sin procesar en funciones de una forma que permita al AA aprender características importantes de los datos y aportar una percepción humana para abordar los problemas. Por último, aprenda a incorporar la combinación adecuada de parámetros que desarrolle modelos generalizados y exactos, y conozca la teoría para solucionar determinados tipos de problemas de AA. Experimentará con el AA de extremo a extremo, a partir de la construcción de una estrategia centrada en el AA y el avance hacia el entrenamiento, optimización y producción de modelos con labs prácticos mediante Google Cloud Platform.
Machine Learning with TensorFlow on Google Cloud en Español Specialization
Descubra el AA con Google Cloud. Experimentación en el mundo real con AA de extremo a extremo.
Instructor: Google Cloud Training
Included with 
(213 reviews)
(213 reviews)
What you'll learn
Skills you'll gain
- Feature Engineering
- Deep Learning
- Artificial Neural Networks
- MLOps (Machine Learning Operations)
- Performance Tuning
- Data Strategy
- Responsible AI
- Data Quality
- Machine Learning Algorithms
- Google Cloud Platform
- Supervised Learning
- Data Transformation
- Machine Learning
- Exploratory Data Analysis
- Predictive Modeling
- Applied Machine Learning
- Data Pipelines
What’s included
Add to your LinkedIn profile
Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from Google Cloud
Specialization - 3 course series
What you'll learn
Skills you'll gain
What you'll learn
Describir Vertex AI Feature Store y comparar los aspectos clave que debe tener un atributo útil
Realizar ingeniería de atributos con BigQuery ML, Keras y TensorFlow
Analizar cómo procesar previamente y explorar atributos con Dataflow y Dataprep
Usar tf.Transform
Skills you'll gain
What you'll learn
Generalizar un modelo de AA usando técnicas de regularización
Ajustar el tamaño del lote y la tasa de aprendizaje para mejorar el rendimiento del modelo
Optimizar el modelo
Aplicar los conceptos en el código de TensorFlow
Skills you'll gain
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor
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Frequently asked questions
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
More questions
Financial aid available,