Machine learning is a field of computer science that often uses statistical techniques to give computers the ability to “learn” (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed.
Machine learning is closely related to (and often overlaps with) computational statistics, which also focuses on prediction-making through the use of computers. It has strong ties to mathematical optimization, which delivers methods, theory and application domains to the field. Machine learning is sometimes conflated with data mining,where the latter sub field focuses more on exploratory data analysis and is known as unsupervised learning.Machine learning can also be unsupervised and be used to learn and establish baseline behavioral profiles for various entities and then used to find meaningful anomalies.
On completion of the course you will be very comfortable with the concepts of Machine learning and be able to launch your career in the same.
You will also be able to create models using Rstudio. If you are familiar with python you will be able to transfer the knowledge and apply it using python in a notebook framework like Jupyter.
You will be able to hold a conversation with any expert I the field and also be familiar with some usual interview questions. On successful completion we offer a certification for the same
