Data Mining
Introduction to Data Mining
About the Book
Book description
The theoretical concepts covered in this course are critical to building foundational knowledge of data mining.
Goals
Introduction To Data Mining
The theoretical concepts covered in this course are critical to building foundational knowledge of data mining.
Data Mining Terms and Definitions:
The purpose of this module is to define the language that is used in Data Mining.
Statistics Overview:
The purpose of this module is to cover the statistical concepts that are fundamental to the study of Data Mining. Data mining leverages statistics for cleaning and sorting data.
Similarity and dissimilarity:
The purpose of this module is to describe the meaning behind Similarity and Dissimilarity in the context of Data Mining.
Cosine Similarity:
The purpose of this module is to describe cosine similarity definitions and terminology.
Tanimoto calculation:
The purpose of this module is to explain the meaning behind the tanimoto calculation.
Correlation analysis:
The purpose of this module is to describe X² and it’s usage in correlation analysis.
Histograms:
The purpose of this module is to explain histograms and their applications.
Discretization Techniques:
The purpose behind this module is to describe the application of Entropy Based Discretization.
Segmentation by Natural partitioning:
The purpose of this module is to explain the concept of Segmentation by Natural Partitioning.
Concept hierarchy:
The purpose of this module is to explain how concept hierarchies are generated.
Bayesian Classification:
The purpose of this module is to describe what Bayesian Classification is and how to apply it to training and test data.
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Author Details
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Evan
About me
Hi, I'm Evan Kimbrell. Thanks for checking out my course.
**My courses have been featured in Forbes, CNN, Entrepreneur Magazine, BusinessInsider, BuzzFeed, Mashable, TheNextWeb, The Daily Beast, & Techcrunch**
Currently, I'm the Founder and Director of Sprintkick, a full-service, referral-only digital agency based out of San Francisco. Over the past four years I've overseen the development and launch of over 100 web and mobile apps. Clients range from two-man bootstrapping startups to multibillion dollar Fortune 100s like Wal-Mart, Dick's Sporting Goods, and GNC.
Prior to Sprintkick I worked as a VC for a new firm called Juvo Capital, based out of L.A. I spearheaded the firm's expansion into Silicon Valley and into the Consumer Web tech category.
In the long long ago, I was a co-founder for an educational software startup called ScholarPRO that raised a ton of money and then spectacularly blew up (in the bad way). Before it exploded like the Death Star, I went through five tech incubators (yes, five): Tech Stars, Excelerate Labs, MassChallenge, Babson Venture Program, and Sparkseed.
Hope you enjoy my courses!
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