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:
Answer:
You can learn lessons from life experiences that are sometimes unpleasant.
- <em>a adage is a quote that tends to be well known.</em>
- <em>a proverb is the same, saying the truth or advice.</em>
<u><em>i hope this helped at all. sorry if it didnt.</em></u>
My last answer was deleted for being pointless, but I had to add more letters for the correct, succinct answer to be published. The right answer is "a sentence".
You should begin with a chart that separates both similarities and differences. Read both articles and annotate everything you notice on to the chart. You could then begin drafting all your work and revise.
