Answer:
Azure Machine Learning is a cloud service for accelerating and managing the machine learning project lifecycle. Machine learning professionals, data scientists, and engineers can use it in their day-to-day workflows: Train and deploy models, and manage MLOps.
You can create a model in Azure Machine Learning or use a model built from an open-source platform, such as Pytorch, TensorFlow, or scikit-learn. MLOps tools help you monitor, retrain, and redeploy models.
Explanation:
D) He didn't fight.
E) He hadn't fought at all.
F) battered and venerable
Um........what????
U know u gotta give more info....
Answer:
1.They got together, conversed, and dispersed, but to no avail.
2.He came, he saw, and he conquered.
3.He wanted to have a new house to live in, and a new car to drive.
4.The applicant was approached through telephone, email, and snail mail.
Explanation:
