Technology teams worldwide have found new ways to leverage machine learning to enable recommendation engines, object detection, voice assistants, fraud detection, and other key use cases.
However, the training and deployment of ML models can be expensive and time-consuming. Read our eBook Propel 4 Common Machine Learning Use Cases into Production for practical insights and real-world examples of how you can select and configure the right infrastructure to accelerate the training and deployment of machine learning models for computer vision, fraud detection, natural language processing, and recommendations.