Mitglied seit 2023
Automate Data Capture at Scale with Document AI
Earned Mär 18, 2024 EDT
Feature Engineering
Earned Dez 27, 2023 EST
Build, Train and Deploy ML Models with Keras on Google Cloud
Earned Dez 18, 2023 EST
Launching into Machine Learning
Earned Nov 17, 2023 EST
Einführung in KI und maschinelles Lernen in Google Cloud
Earned Nov 1, 2023 EDT
Earn the introductory skill badge by completing the Automate Data Capture at Scale with Document AI course. In this course, you learn how to extract, process, and capture data using Document AI.
This course explores the benefits of using Vertex AI Feature Store, how to improve the accuracy of ML models, and how to find which data columns make the most useful features. This course also includes content and labs on feature engineering using BigQuery ML, Keras, and TensorFlow.
This course covers building ML models with TensorFlow and Keras, improving the accuracy of ML models and writing ML models for scaled use.
The course begins with a discussion about data: how to improve data quality and perform exploratory data analysis. We describe Vertex AI AutoML and how to build, train, and deploy an ML model without writing a single line of code. You will understand the benefits of Big Query ML. We then discuss how to optimize a machine learning (ML) model and how generalization and sampling can help assess the quality of ML models for custom training.
In diesem Kurs lernen Sie die KI- und ML-Angebote von Google Cloud für Projekte mit prädiktiver und generativer KI kennen. Dabei werden die Technologien, Produkte und Tools vorgestellt, die für den gesamten Lebenszyklus der Datenaufbereitung für KI verfügbar sind. Der Kurs umfasst KI‑Grundlagen, ‑Entwicklung und ‑Lösungen. Data Scientists, KI-Entwickler und ML-Engineers sollen in diesem Kurs ihre Fähigkeiten und Kenntnisse durch ansprechende Lernangebote sowie praxisorientierte Übungen erweitern.