In this blog post, we discuss Spark and Spark Pipelines—and how you might be able to export a critical component from your Spark project to Algorithmia by using the MLeap model interchange format and runtime.
An artificial intelligence framework allows for easier and faster creation of AI applications. These include machine learning, deep learning, neural networks, and NLP (natural language processing) solutions.
Algorithmia enables data science teams to deploy models from many different model training platforms, including Amazon SageMaker. SageMaker provides different components such as notebooks and training jobs that enable developers and data scientists to build and train machine learning models.
A machine learning framework is an interface that allows developers to build and deploy machine learning models faster and easier. A tool like this allows enterprises to scale their machine learning efforts securely while maintaining a healthy ML lifecycle.