R Language – Use in AI
R language, AI, machine learning, deep learning, data science, natural language processing, statistical analysis, business analytics, healthcare AI.
Skills you will gain:
R Language – Use in AI is a structured 8-week program that introduces R programming to M.Tech, M.Sc, and MCA students, as well as professionals in various tech industries. It covers the integration of R in data science, machine learning, deep learning, and natural language processing, providing practical skills and deep insights into R’s use in AI-driven projects.
Aim: The course aims to explore the capabilities of the R language in artificial intelligence, equipping participants with the skills to leverage R’s statistical and machine learning capabilities for AI applications.
Program Objectives:
- Proficiency in R for AI: Gain a thorough understanding of how to use R for AI projects.
- Data Science Skills: Acquire skills in data manipulation, visualization, and analysis using R.
- AI Solution Development: Develop the ability to implement comprehensive AI solutions using R.
What you will learn?
- Introduction to R for AI:
- Basics of R, its IDEs, and the role of R in AI.
- Setting up the environment and fundamental programming concepts.
- Data Management in R:
- Techniques for data manipulation with R using packages like dplyr.
- Visualization of data using Base R graphics and ggplot2.
- Machine Learning with R:
- Supervised and unsupervised learning techniques, including regression and classification.
- Clustering and dimensionality reduction methods.
- Advanced AI Techniques in R:
- Implementing neural networks with keras and exploring deep learning applications.
- Natural Language Processing using R for text data analysis.
- Real-World AI Applications using R:
- AI applications in business analytics and healthcare.
- Predictive analytics and medical image analysis.
- Project and Implementation:
- Design, implementation, and presentation of a capstone AI project using R.
Intended For :
- M.Tech, M.Sc, and MCA students in IT, Computer Science, and related fields.
- E0 & E1 level professionals in BFSI, IT services, consulting, and fintech looking to enhance their AI capabilities with R.
Career Supporting Skills
