General Machine Learning and Data Analysis
Overview of machine learning for beginners, differences between types of learning and results, no-free lunch theorem as a frame for machine learning.
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Deux Ex Machina
Clustering with R – k-means
Machine learning using R, unsupervised, non-hierarchical classification using k-means
hierarchical clustering with R
Machine learning using R, classification with hierarchical clustering function hclust
R Language Preferences
Overview of machine learning using R, setting up the environment and handling data
Reference books on machine learning with R
Overview of machine learning with R, history of R and introduction to reference books
Openrefine: Data cleansing tool
Overview of openrefine, a natural language processing tool used in DX and the Semantic Web
Protected: Data Compression Algorithms(2)Lossy compression
Data Compression Algorithm Overview, Lossy Data Compression Algorithm, Exclusion Trick, Content Summary
Web server and DB integration(1)Setting up a server in Clojure
Implementing a server in Clojure for web server and DB integration, and using Ring to launch a web server
Web server and DB integration(2)
Implementing routing in Clojure for web server and DB Implementing routing in Clojure for web server and DB, Ring, Routing with Compojure
Web server and DB integration(3)DB connection and control
DB implementation in Clojure for web server and DB integration, setting up and integration of posgresql