Bienvenidos
IPN-Dharma IA Lab
Es una iniciativa de Laboratorio de Inteligencia Artificial del CIC del IPN con la colaboración de DHARMA para motivar a investigadores, profesores y estudiantes a aprovechar los cursos, recursos y herramientas de las principales plataformas tecnológicas de la industria en las áreas de Aprendizaje Automático, Ciencia de Datos, Computación en la Nube, Inteligencia Artificial e Internet de las Cosas con el propósito de generar una experiencia práctica a través de un modelo de aprendizaje entre pares y por objetivos.
Nivel 2: Conocimiento Contextual
Hands-on Machine Learning with Google Cloud Labs
In this program, you'll receive hands-on practice with machine learning as it applies to language processing, go beyond the basics of using predefined models, learning how to build, train and deploy your own, and finally get practice with machine learning at scale and how to employ the advanced ML infrastructure available on Google Cloud.
Learners will be able to practice:
- Extracting entities and sentiment from text using the Cloud Natural Language API.
- Using Google Cloud Machine Learning and Tensorflow to develop and evaluate prediction models using machine learning.
- Building an end-to-end machine learning solution using Tensorflow + AI Platform and leverage the cloud for distributed training and online prediction.
- Building a simple scikit-learn model and making predictions against the model.
- Using Cloud DataProc running on a Hadoop cluster to analyze a data set using Bayes Classification.
Cursos en este programa
1) Introduction to Machine Learning: Language Processing
It’s no secret that machine learning is one of the fastest-growing fields in tech, and the Google Cloud Platform has been instrumental in furthering its development. In this introductory Google Cloud Labs Series, you will get hands-on practice with machine learning as it applies to language processing by taking labs that will enable you to extract entities from text, and perform sentiment and syntactic analysis as well as use the Speech to Text API for transcription.
Esfuerzo estimado 4 horas
Idioma inglés
2) Intermediate Machine Learning: TensorFlow on Google Cloud
TensorFlow is a library for is an open-source software library for high-performance numerical computation that's great for writing models that can train and run on platforms ranging from your laptop to a fleet of servers in the Cloud to an edge device. This Google Cloud Labs Series takes you beyond the basics of using predefined models and teaches you how to build, train and deploy your own on Google Cloud.
3) Advanced Machine Learning: Machine Learning Infrastructure
Machine Learning is one of the most innovative fields in technology, and the Google Cloud Platform has been instrumental in furthering its development. In this advanced-level Google Cloud Labs Series, you will get hands-on practice with machine learning at scale and how to employ the advanced machine learning infrastructure available on Google Cloud.