- Jupyter
- Applied Machine Learning
- Unstructured Data
- Machine Learning
- Image Analysis
- Big Data
- Natural Language Processing
- Data Pipelines
- Tensorflow
- Artificial Intelligence
- Google Cloud Platform
- Model Deployment
Smart Analytics, Machine Learning, and AI on Google Cloud
Completed by Mikhail Trifonov
February 23, 2022
6 hours (approximately)
Mikhail Trifonov's account is verified. Coursera certifies their successful completion of Smart Analytics, Machine Learning, and AI on Google Cloud
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
