Data

Learn the implementation of both ANN & DNN using the H2O package Of R programming language

The underlying patterns in your data hold vital insights; unearth them with cutting-edge clustering and classification techniques in R

Learn the basic math for Data Science, AI, and ML using R

Understand how machine learning works and get hands-on experience in using R to build algorithms that can solve several real-world problems.

Solve real-world data problems with R and machine learning

Learn, by example, the fundamentals of data analysis as well as several intermediate to advanced methods and techniques ranging from classification and regression to Bayesian methods and MCMC, which can be put to immediate use.

Get valuable insights from your data by building data analysis systems from scratch with R.

Get your statistics basics right before diving into the world of data science

Turn your noisy data into relevant, insight-ready information by leveraging the data wrangling techniques in Python and R

Explore over 110 recipes to analyze data and build predictive models with simple and easy-to-use R code

Enter the world of Internet of Things with the power of data science with this highly practical engaging book

Over 50 practical and useful recipes to help you perform data analysis with R by unleashing every native RStudio feature

Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully

Build automatic classification and prediction models using unsupervised learning

Harness the power of RStudio to create web applications, R packages, markdown reports and pretty data visualizations