Articles by The Exactness of Mind

Visualising Similarity: Maps vs. Graphs

July 28, 2017 | The Exactness of Mind

The visualization of complex data sets is of essential importance in communicating your data products. Beyond pie charts, histograms, line graphs and other common forms of visual communication begins the reign of data sets that encompass too much information to be easily captured by these simple data displays. A typical ... [Read more...]

Hybrid content-based and collaborative filtering recommendations with {ordinal} logistic regression (2): Recommendation as discrete choice

April 14, 2017 | The Exactness of Mind

In this continuation of “Hybrid content-based and collaborative filtering recommendations with {ordinal} logistic regression (1): Feature engineering” I will describe the application of the {ordinal} clm() function to test a new, hybrid content-based, collaborative filtering approach to recommender engines by fitting a class of ordinal logistic (aka ordered logit) models to ... [Read more...]

Introduction to R for Data Science :: Session 8 [Intro to Text Mining in R, ML Estimation + Binomial Logistic Regression]

June 21, 2016 | The Exactness of Mind

Welcome to Introduction to R for Data Science, Session 8: Intro to Text Mining in R, ML Estimation + Binomial Logistic Regression [Web-scraping with tm.plugin.webmining. The tm package corpora structures: assessing document metadata and content. Typical corpus transformations and Term-Document Matrix production. A simple binomial regression model with tf-idf scores ... [Read more...]

Introduction to R for Data Science :: Session 8 [Appendix]

June 20, 2016 | The Exactness of Mind

Appendix to Session 8: Intro to Text Mining in R, ML Estimation + Binomial Logistic RegressionWelcome to Introduction to R for Data Science, Session 8: Intro to Text Mining in R, ML Estimation + Binomial Logistic Regression [Web-scraping with tm.plugin.webmining. The tm package corpora structures: assessing document metadata and content. Typical corpus ... [Read more...]

Introduction to R for Data Science :: Session 7 [Multiple Linear Regression Model in R  + Categorical Predictors, Partial and Part Correlation]

June 9, 2016 | The Exactness of Mind

Welcome to Introduction to R for Data Science Session 7: Multiple Regression + Dummy Coding, Partial and Part Correlations [Multiple Linear Regression in R. Dummy coding: various ways to do it in R. Factors. Inspecting the multiple regression model: regression coefficients and their interpretation, confidence intervals, predictions. Introducing {lattice} plots + ggplot2. Assumptions: ... [Read more...]

Introduction to R for Data Science :: Session 6 [Linear Regression Model in R  + EDA, and Normality Tests]

June 6, 2016 | The Exactness of Mind

Welcome to Introduction to R for Data Science Session 6: Linear Regression + EDA, and Normality tests [Linear Regression in R: Exploratory Data Analysis, assumptions of the simple linear model, correlation, and visualization. Predictions from the linear model. Confidence Intervals and Residuals. Inspecting the basic linear model. Infulential cases and the Influence ... [Read more...]

Introduction to R for Data Science :: Session 4

May 28, 2016 | The Exactness of Mind

Welcome to Introduction to R for Data Science Session 4! The course is co-organized by Data Science Serbia and Startit. You will find all course material (R scripts, data sets, SlideShare presentations, readings) on these pages. Welcome to the fourth session of Introduction to R for Data Science! Check out the ... [Read more...]

Introduction to R for Data Science :: Session 3

May 23, 2016 | The Exactness of Mind

Welcome to Introduction to R for Data Science Session 3! The course is co-organized by Data Science Serbia and Startit. You will find all course material (R scripts, data sets, SlideShare presentations, readings) on these pages. Welcome to the third session of Introduction to R for Data Science! Check out the ... [Read more...]

Introduction to R for Data Science :: Session 2

May 9, 2016 | The Exactness of Mind

Welcome to Introduction to R for Data Science Session 2! The course is co-organized by Data Science Serbia and Startit. You will find all course material (R scripts, data sets, SlideShare presentations, readings) on these pages. [in Serbian] Lecturers dipl. ing Branko Kovač, Data Analyst at CUBE, Data Science Mentor at ... [Read more...]

Introduction to R for Data Science

April 30, 2016 | The Exactness of Mind

Branko Kovač Data Analyst at CUBE, Data Science Mentor at Springboard, Institut savremenih nauka, Data Science Serbia, and Goran S. Milovanović, DataScientist@DiploFoundation, Data Science Serbia, are giving a free introductory course on R for Data Science in Belgrade, Serbia. All course materials - slides, R scripts, data sets, summaries ... [Read more...]

Introduction to R for Data Science :: Session 1

April 30, 2016 | The Exactness of Mind

Welcome to Introduction to R for Data Science Session 1! The course is co-organized by Data Science Serbia and Startit. You will find all course material (R scripts, data sets, SlideShare presentations, readings) on these pages. [in Serbian] Lecturers dipl. ing Branko Kovač, Data Analyst at CUBE, Data Science Mentor at ... [Read more...]

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