Machine Safety

Machine Learning is revolutionizing the world by allowing computers to learn as they progress forward with large data sets, overwriting overcoming all programming pitfalls and impasses. Machine Learning builds algorithms, which when exposed to high volumes of data, can self-teach and evolve.

This is an introductory programme on machine learning using scikit-learn and scipy for structured data, and common text processing methods. It has been designed for participants who aim to understand the possible applications of these techniques in their respective organisations.

As a subset of artificial intelligence (AI), machine learning (ML) is a field of computer science that focuses on the analysis and interpretation of patterns and structures in data to achieve learning, reasoning and decision making outside of human interaction.

Amazon Sage Maker Pipelines is the first purpose-built, easy-to-use continuous integration and continuous delivery (CI/CD) service for machine learning (ML). With SageMaker Pipelines, you can create, automate, and manage end-to-end ML workflows at scale.

Machine Learning is the science of getting computing systems to act with minimal human Intervention. Such systems change behaviors without being explicitly programmed. It is nothing but automation of Feature Engineering.