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:
The advantages of kinetic energy include the ability to produce renewable energy, the availability of being an abundant resource and the effectiveness of being exponentially proportional to its velocity
Answer:
In two years time, most of the empire had revolted against the new emperor, creating a constant atmosphere of rebellion and retaliation. Warlord Xiang Yu in quick succession defeated the Qin army in battle, executed the emperor, destroyed the capital and split up the empire into 18 states.
Explanation:
they were treated harsh
Answer:
Capitalism
Explanation:
Because it's a way where mostly everyone has a chance to make a better future for themselves
