lesson 4
Microsoft Azure Machine Learning x Udacity -- Lesson 4 Notes
In a classification problem, the outputs are categorical or discrete.
Data Science in 90 seconds, Lesson 4: K-Means Clustering
Data Science doesn't have to be boring or confusing.
Advanced R LiveLessons: Tools for Greater Productivity and Machine Learning
Advanced R LiveLessons, Part I teaches R programmers techniques for dealing with large data, both in memory and in databases. It also covers advanced machine learning, network analysis, web graphics, and documents and presentations. In this video training Jared starts with reading XML data and some common data manipulation operations using various base R functions and packages like plyr, comparing the speed of in memory calculations. He then demonstrates more advanced techniques for accomplishing the same task such as data.table, He then turns to some other useful advanced concepts and techniques.
Advanced R Programming LiveLessons: Tools for Greater Productivity and Machine Learning
Advanced R LiveLessons, Part I teaches R programmers techniques for dealing with large data, both in memory and in databases. It also covers advanced machine learning, network analysis, web graphics, and documents and presentations. In this video training Jared starts with reading XML data and some common data manipulation operations using various base R functions and packages like plyr, comparing the speed of in memory calculations. He then demonstrates more advanced techniques for accomplishing the same task such as data.table, He then turns to some other useful advanced concepts and techniques.