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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:
Python is a general-purpose open source language, but thanks to the development of powerful analytics, data processing and predictive modelling libraries, it has become the main programming language used for Data Science projects, along with R...
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...
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