Can R be used in ML?

You Can Use R For Machine Learning If you know how to program with another programming language like Java, C#, JavaScript or Python then you can use R. You will pick-up the syntax very quickly. You do not need to be a good programmer.

What packages are in R?

The list of major packages in R programming language is as follows:

• tidyr. As the name suggests, we use tidyr to make the data ‘tidy’.
• ggplot2. With ggplot2, you can create graphics declaratively.
• ggraph. ggraph is an extension of ggplot2.
• dplyr.
• tidyquant.
• dygraphs.
• leaflet.
• ggmap.

What is the best way to learn deep learning?

Whichever source you choose to use, the best way as usual is to move fast in order to get the overview of deep learning (DL), machine learning and artificial intelligence (AI) in general. Then slow down and start going deeper, focusing more on the areas that most interests you while gaining more details about them.

What are packages in R?

R – Packages. R packages are a collection of R functions, complied code and sample data. They are stored under a directory called “library” in the R environment. By default, R installs a set of packages during installation.

What are the applications of deep learning?

Deep Learning has a wide range of application ranging from product development to producing a new drug, from medical diagnosis to producing fake news and music. Deep Learning is being widely used in industries to solve large number of problems like computer vision, natural language processing and pattern recognition.

What is the difference between deep learning and neural networks?

The difference between neural network and deep learning is that neural network operates similar to neurons in the human brain to perform various computation tasks faster while deep learning is a special type of machine learning that imitates the learning approach humans use to gain knowledge.