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7 Steps for Learning Data Mining and Data Science - KDnuggets

7 Steps for Learning Data Mining and Data Science - KDnuggets | Data mining | Scoop.it
How to learn data mining and data science? I outline seven steps and point you to resources for becoming a data scientist.
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Rescooped by Juan Camilo Estevez Cardenas from BIG data, Data Mining, Predictive Modeling, Visualization
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Boston Data Mining

Data Mining Using Bayesian Data Analysis and Python

Tuesday, Oct 15, 2013, 6:30 PM

hack / reduce
275 3rd St

162 Data Miners Went

Thomas Wiecki will present a talk title 'Bayesian Data Analysis with PyMC3' Details: Probabilistic Programming allows flexible specification of statistical models to gain insight from data. Estimation of best fitting parameter values, as well as uncertainty in these estimations, can be automated by sampling algorithms like Markov chain Monte Carlo ...

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Thomas Wiecki will present a talk title 'Bayesian Data Analysis with PyMC3'
Details:
Probabilistic Programming allows flexible specification of statistical models to gain insight from data.

Via AnalyticsInnovations
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Data Mining and Knowledge Discovery for Big Data - Free eBook Share

Data Mining and Knowledge Discovery for Big Data - Free eBook Share | Data mining | Scoop.it
eBook Free Download: Data Mining and Knowledge Discovery for Big Data | PDF, EPUB | ISBN: 3642408362 | 2013-11-15 | English | PutLocker

Via Fox eBook
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Fox eBook's curator insight, October 10, 2013 11:01 PM
Table of Contents

Chapter 1 Aspect and Entity Extraction for Opinion Mining
Chapter 2 Mining Periodicity from Dynamic and Incomplete Spatiotemporal Data
Chapter 3 Spatio-temporal Data Mining for Climate Data: Advances, Challenges, and Opportunities
Chapter 4 Mining Discriminative Subgraph Patterns from Structural Data
Chapter 5 Path Knowledge Discovery: Multilevel Text Mining as a Methodology for Phenomics
Chapter 6 InfoSearch: A Social Search Engine
Chapter 7 Social Media in Disaster Relief Usage Patterns, Data Mining Tools, and Current Research Directions
Chapter 8 A Generalized Approach for Social Network Integration and Analysis with Privacy Preservation
Chapter 9 A Clustering Approach to Constrained Binary Matrix Factorization

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What you Can Learn to Help Your Fleet From Data Mining

What you Can Learn to Help Your Fleet From Data Mining | Data mining | Scoop.it
Operations managers at Averitt Express of Cookeville, Tenn., sat up and took notice when they learned a surprising fact after they began analyzing their driver retention data a few years ago.

Via Thomas Faltin
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Data Mining and Analysis: Fundamental Concepts and Algorithms - Free eBook Share

Data Mining and Analysis: Fundamental Concepts and Algorithms - Free eBook Share | Data mining | Scoop.it
eBook Free Download: Data Mining and Analysis: Fundamental Concepts and Algorithms | PDF, EPUB | ISBN: 0521766338 | 2014-02-28 | English | PutLocker

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Fox eBook's curator insight, October 7, 2013 9:15 PM
Table of Contents

Chapter 1 Data Mining and Analysis

Part I Data Analysis Foundations
Chapter 2 Numeric Attributes
Chapter 3 Categorical Attributes
Chapter 4 Graph Data
Chapter 5 Kernel Methods
Chapter 6 High-Dimensional Data
Chapter 7 Dimensionality Reduction

Part II Frequent Pattern Mining
Chapter 8 Itemset Mining
Chapter 9 Summarizing Itemsets
Chapter 10 Sequence Mining
Chapter 11 Graph Pattern Mining
Chapter 12 Pattern and Rule Assessment

Part III Clustering
Chapter 13 Representative-based Clustering
Chapter 14 Hierarchical Clustering
Chapter 15 Density-based Clustering
Chapter 16 Spectral and Graph Clustering
Chapter 17 Clustering Validation

Part IV Classification
Chapter 18 Probabilistic Classification
Chapter 19 Decision Tree Classifier
Chapter 20 Linear Discriminant Analysis
Chapter 21 Support Vector Machines
Chapter 22 Classification Assessment