Protegido: Smart Analytics, Machine Learning GCP

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Introducción a Analytics y AI

1
What is AI?
2
From Ad-hoc Data Analysis to Data Driven Decisions
3
Options for ML models on GCP

Prebuilt ML model APIs for Unstructured Data

1
Unstructured Data is Hard
2
ML APIs for Enriching Data

Big Data Analytics with Cloud AI Platform Notebooks

1
What’s a Notebook
2
BigQuery Magic and Ties to Pandas

Production ML Pipelines with Kubeflow

1
Ways to do ML on GCP
2
Kubeflow
3
AI Hub

Custom Model building with SQL in BigQuery ML

1
BigQuery ML para Quick Model Building
2
Demo: Train a model with BigQuery ML to predict NYC taxi fares 1
3
Demo: Train a model with BigQuery ML to predict NYC taxi fares 2
4
Supported Models 1
5
Supported Models 2
6
Laboratorio

Custom Model building with Cloud AutoML

1
Why Auto ML?
2
Auto ML Vision
3
Auto ML NLP
4
Auto ML Tables 1
5
Auto ML Tables 2
6
Laboratorio Auto ML Vision
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Duración: 2 Horas
Clases: 22
Nivel: Bbeginner
Protegido: Smart Analytics, Machine Learning GCP
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