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Machine Learning

Machine learning is a subfield of artificial intelligence (AI). The goal of machine learning generally is to understand the structure of data and fit that data into models that can be understood and utilized by people.Arthur Samuel, an American pioneer in the field of computer gaming and artificial intelligence, coined the term "Machine Learning" in 1959 while at IBM. 

A form of artificial intelligence, machine learning is revolutionizing the world of computing as well as all people’s digital interactions. By making it possible to quickly, cheaply and automatically process and analyze huge volumes of complex data, machine learning is critical to countless new and future applications. Machine learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars.

More Details

Course # Course Contents Exam # Exam Regular Track
(days)

Machine Learning 001

Machine Learning 6
  Total 6

For a career as a machine learning implementation expert, you need substantial work experience and strong software development skills.You need to be able to build production quality systems for industrial big data, and not just know a bit of R or Python that lets you put together a model on a toy dataset. There is a lot of demand for people who may not have production level software skills, but know enough about machine learning to manipulate and make sense of massive data sets. For such positions, you may start with some skills in statistics and data analysis, and learn the R or Python tools used to analyze much larger data sets.

General IT knowledge

This Machine Learning course prepares engineers, data scientists and other professionals with knowledge and hands-on skills required for certification and job competency in machine learning. The demand for machine learning skills is growing quickl