LEARNING PATH: R: Machine Learning Algorithms with R

Are you interested to explore advanced algorithm concepts such as random forest vector machine, K– nearest, and more through real–world examples? Then this Learning Path is for you

Packt s Video Learning Paths are a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it.

Machine learning and data science are some of the top buzzwords in the technical world today. Machine learning – the application and science of algorithms that makes sense of data, is the most exciting field of all the computer sciences! It explores the study and construction of algorithms that can learn from and make predictions on data. Also, R language is widely used among statisticians and data miners to develop statistical software and data analysis.

We are living in an age where data comes in abundance; using the self–learning algorithms from the field of machine learning, you can turn this data into knowledge as well as gain unimaginably powerful insights into data.

The highlights of this Learning Path are:

Knowing statistics helps you build strong machine learning models that are optimized for a given problem statement.