- Artificial Intelligence and Machine Learning (AI/ML)
- Data Pipelines
- Natural Language Processing
- Google Cloud Platform
- Data Processing
- Machine Learning
- Image Analysis
- Artificial Intelligence
- Cloud API
- Analytics
- Tensorflow
- Jupyter
Smart Analytics, Machine Learning, and AI on Google Cloud
Completed by jigyasu nayyar
August 9, 2021
6 hours (approximately)
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What you will learn
Differentiate between ML, AI and deep learning.
Discuss the use of ML API’s on unstructured data.
Execute BigQuery commands from notebooks.
Create ML models by using SQL syntax in BigQuery and without coding using Vertex AI AutoML.
Skills you will gain
