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Amazon SageMaker is a machine learning solution that enables data scientists and developers to create, train and deploy machine learning models. It supports batch and online learning, and comes with pre-built algorithms for common use cases.
It has an intuitive user interface, powerful algorithms and an enterprise-grade infrastructure that allows you to build your machine learning solution without having to be an expert in cloud infrastructure or deep learning.
SageMaker also has a library of machine learning tools that you can use without having to install any other software. Cloud service features include:
Spark is an open source framework from Apache Software Foundation for distributed processing of large amounts of data on clusters of computers, designed for use in Big Data environments, and created to enhance the capabilities of its predecessor MapReduce.
Spark inherits the scalability and fault tolerance capabilities of MapReduce, but far surpasses it in terms of processing speed, ease of use and analytical capabilities...
MATLAB is a programming language and high-performance computing environment for algorithm development, data visualization, data analysis, and numerical computation. Combining high-level programming features with dynamic data types, MATLAB provides an environment for rapidly prototyping ideas and developing software to solve technical computing and analytical problems...
