R Programming for Beginners - Learn R in 3 Hours
Comprehensive introduction to R programming, covering data types, manipulation, visualization, and neural networks. Includes hands-on examples and a Pokemon case study for practical application.
Using Classical Algorithms for Modern Applications: MCMC for Tail Calculations, EM - Lecture
Explore classical algorithms applied to modern challenges: MCMC for tail probability estimation and EM for PET reconstruction. Gain insights into innovative adaptations of established methods for cutting-edge problems.
Learning Base R
Master fundamental R programming concepts, from basic calculations to advanced topics like simulation and statistics, through hands-on practice and comprehensive coverage of essential functions and data structures.
Julia
Learn Julia programming for data analysis, statistics, and linear algebra. Covers databases, plotting, environments, and advanced mathematical concepts with practical tutorials.
Getting Started with R - R Statistical Software Tutorial Videos
Comprehensive introduction to R programming for beginners, covering installation, basic operations, data handling, and essential functions. Ideal for those starting their journey in data analysis and statistics.
MM Principle of Optimization - CGSI 2023
Explore the MM Principle of Optimization in computational genomics, covering algorithms, applications in signal processing, and machine learning techniques.
Examples of MM Algorithms - CGSI 2024
Explore MM algorithms through practical examples, enhancing understanding of their applications in statistics, signal processing, and machine learning.
Modeling Hotel Bookings in R Using Tidymodels and Recipes
Learn to predict hotel bookings using R, tidymodels, and recipes. Explore data, create visualizations, and build decision tree models to gain insights into booking patterns and improve predictions.
R in Java - Performance and Implementation Challenges
Explore R integration in Java, covering performance, memory allocation, and language features. Learn about specialized interpreters and data types for efficient R-Java interoperability.
Understanding and Visualizing Data Using R in SQL Server
Explore data analysis using R with SQL Server. Learn to connect, validate, and visualize data through statistical methods and reporting tools. Includes sentiment analysis demo of Twitter PASS MVP Summit.
Machine Learning in the Browser
Explore the frontier of machine learning in web browsers, covering state-of-the-art libraries, implementation challenges, and performance optimization techniques for browser-based ML applications.
K-Means Implementation in R
Implement K-means clustering algorithm in R programming language. Learn data preprocessing, algorithm application, and result interpretation for effective data analysis.
K-Nearest Neighbors Implementation in R
Implement K-Nearest Neighbors algorithm in R programming language. Learn practical application of this machine learning technique for classification and regression tasks.
Variational Inference for Fun and Profit
Discover the fundamentals of variational inference in statistical analysis, exploring Bayesian techniques, SuSiE PCA methodology, and practical applications in computational genomics and regression modeling.
Why Julia is the Future for Data Science Projects
Explore Julia's advantages for data science, including speed, economic viability, and reduced carbon footprint compared to R and Python.
Combining Wolfram Language and R - Integrating R Workflows into Wolfram's Unified Computation Platform
Integrate Wolfram Language and R workflows, leveraging RLink to expand computational capabilities beyond statistics and access Wolfram's extensive algorithm base.