Miembro desde 2020
Cloud Hero: Data & ML
Earned nov 4, 2020 EST
BigQuery para el aprendizaje automático
Earned sep 30, 2020 EDT
DEPRECATED Google Cloud Solutions II: Data and Machine Learning
Earned sep 29, 2020 EDT
Scientific Data Processing
Earned sep 28, 2020 EDT
[DEPRECATED] Building Advanced Codeless Pipelines on Cloud Data Fusion
Earned sep 25, 2020 EDT
Cloud Hero is played around the world, in person and online. Today, you have the opportunity to become your a cloud hero! This game is all about how GCP helps you get the most out of your data. You will compete to see who can finish the game with the highest score. Earn the points by completing the steps in the lab.... and get bonus points for speed! Be sure to click "End" when you're done with each lab to get the maximum points. All players will be awarded the game badge.
¿Quieres compilar modelos de AA en minutos en lugar de horas utilizando únicamente SQL? BigQuery ML democratiza el aprendizaje automático, ya que permite que los analistas de datos creen, entrenen, evalúen y realicen predicciones con modelos de aprendizaje automático a través de herramientas y habilidades de SQL existentes. En esta serie de labs, experimentarás con diferentes tipos de modelos y aprenderás cuáles son las características de un buen modelo.
In this advanced-level quest, you will learn how to harness serious Google Cloud computing power to run big data and machine learning jobs. The hands-on labs will give you use cases, and you will be tasked with implementing big data and machine learning practices utilized by Google’s very own Solutions Architecture team. From running Big Query analytics on tens of thousands of basketball games, to training TensorFlow image classifiers, you will quickly see why Google Cloud is the go-to platform for running big data and machine learning jobs.
¿Macrodatos, aprendizaje automático y datos científicos? Parece la combinación perfecta. En esta Quest de nivel avanzado, obtendrá experiencia práctica en servicios de GCP como Big Query, Dataproc y Tensorflow, aplicándolos a casos prácticos en los que se usan conjuntos de datos científicos de la vida real. Mediante la adquisición de experiencia en tareas como el análisis de datos de terremotos y la agregación de imágenes satelitales, Scientific Data Processing lo ayudará a expandir sus habilidades en macrodatos y aprendizaje automático para que pueda solucionar problemas propios relacionados con un amplio espectro de disciplinas científicas.
This advanced-level Quest builds on its predecessor Quest, and offers hands-on practice on the more advanced data integration features available in Cloud Data Fusion, while sharing best practices to build more robust, reusable, dynamic pipelines. Learners get to try out the data lineage feature as well to derive interesting insights into their data’s history.