Assembly vs. AssemblyScript vs. Oracle Machine Learning vs. Scheme Comparison Chart

Assembly language is a low-level computer programming language that is used to directly control the hardware of a computer system. It consists of symbols and words that represent specific instructions to the processor. Assembly language is often used to optimize programs written in higher-level languages, as it can provide a more efficient way to access memory and other resources.

Machine learning uncovers hidden patterns and insights in enterprise data, generating new value for the business. Oracle Machine Learning accelerates the creation and deployment of machine learning models for data scientists using reduced data movement, AutoML technology, and simplified deployment. Increase data scientist and developer productivity and reduce their learning curve with familiar open source-based Apache Zeppelin notebook technology. Notebooks support SQL, PL/SQL, Python, and markdown interpreters for Oracle Autonomous Database so users can work with their language of choice when developing models. A no-code user interface supporting AutoML on Autonomous Database to improve both data scientist productivity and non-expert user access to powerful in-database algorithms for classification and regression. Data scientists gain integrated model deployment from the Oracle Machine Learning AutoML User Interface.