L'integrazione del machine learning nelle pipeline di dati aumenta la capacità di estrarre insight dai dati. Questo corso illustra i modi in cui il machine learning può essere incluso nelle pipeline di dati su Google Cloud. Per una personalizzazione minima o nulla, il corso tratta di AutoML. Per funzionalità di machine learning più personalizzate, il corso introduce Notebooks e BigQuery Machine Learning (BigQuery ML). Inoltre, il corso spiega come mettere in produzione soluzioni di machine learning utilizzando Vertex AI.
Smart Analytics, Machine Learning, and AI on GCP - Italiano
Instructor: Google Cloud Training
Included with
What you'll learn
Capire la differenza tra ML, AI e deep learning.
Parlare dell'uso delle API ML su dati non strutturati.
Creare modelli di ML utilizzando la sintassi SQL in BigQuery.
Creare modelli di ML senza programmazione utilizzando AutoML.
Details to know
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August 2024
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There are 9 modules in this course
In questo modulo presentiamo il corso e il programma.
What's included
1 video
Questo modulo parla delle opzioni ML su Google Cloud.
What's included
4 videos1 assignment
Questo modulo è incentrato sull'utilizzo di API ML predefinite sui dati non strutturati.
What's included
5 videos1 assignment1 app item
Questo modulo spiega come utilizzare Notebooks.
What's included
4 videos1 assignment1 app item
Questo modulo riguarda la creazione di modelli ML personalizzati e introduce Vertex AI e TensorFlow Hub.
What's included
6 videos1 assignment1 app item
Questo modulo riguarda BigQuery ML.
What's included
6 videos1 assignment2 app items
Creazione di modelli personalizzati con Vertex AI AutoML.
What's included
6 videos1 assignment
Questo modulo riassume gli argomenti trattati nel corso.
What's included
1 video
Link dei PDF per tutti i moduli
What's included
1 reading
Instructor
Offered by
Recommended if you're interested in Cloud Computing
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.