Data Mining Algorithms in SSAS, Excel, and R [2015, ENG] torrent

Обучающие видео » Компьютерные видеоуроки и обучающие интерактивные DVD » Программирование (видеоуроки)

Data Mining Algorithms in SSAS, Excel, and R

Год выпуска: 2015
Производитель: Pluralsight
Сайт производителя: pluralsight.com
Автор: Dejan Sarka
Продолжительность: 2:59
Тип раздаваемого материала: Видеоклипы
Язык: Английский
Описание: Data mining is gaining popularity as the most advanced data analysis technique. With modern data mining engines, products, and packages, like SQL Server Analysis Services (SSAS), Excel, and R, data mining has become a black box. It is possible to use data mining without knowing how it works. However, not knowing how the algorithms work might lead to many problems, including using the wrong algorithm for a task, misinterpretation of the results, and more. This course explains how the most popular data mining algorithms work, when to use which algorithm, and advantages and drawbacks of each algorithm as well. Demonstrations show the algorithms usage in SSAS, Excel, and R.

Искусственный интеллект с помощью SSAS, Excel и R.
[spoiler="Содержание"]
Introduction to Data Mining
Introduction and Modules
Assumptions and Overview
What Is Data Mining?
Data Mining Types and Tasks
Demo: SQL Server Queries
Demo: SSRS Report
Virtuous Cycle and CRISP Model
Data Flow
Types of Analyses and SQL Server Tools
Demo: SSAS Cube
Demo: Data Mining Model
Excel Tools and R
Summary

Naive Bayes and Decision Trees
Introduction
Naive Bayes Prior
Naive Bayes Posterior
Example and Usage
Demo: Naive Bayes in SSAS
Demo: Naive Bayes in Excel
Demo: Naive Bayes in R
Decision Trees
Decision Trees Example
Decision Trees Example and Usage
Demo: Decision Trees in SSAS
Demo: Decision Trees in Excel
Demo: Decision Trees in R
Summary

Linear Regression, Regression Trees, and Support Vector Machines
Introduction
Linear Regression
Regression Trees
Usage for Estimation
Demo: Estimation in SSAS
Demo: Estimation in Excel
Demo: Estimation in R
Support Vector Machines
Support Vector Machines Usage
Demo: Support Vector Machines in R
Summary

Linear Regression, Neural Network, and Models Evaluation
Introduction
Neural Network
Backpropagation and Logistic Regression
Usage
Demo: Neural Network and Logistic Regression in SSAS
Demo: Logistic Regression in Excel
Demo: Neural Network and Logistic Regression in R
Training and Test Sets
Lift and Profit Chart
Classification Matrix and Cross Validation
Demo: Evaluating Predictive Models
Summary

Time Series
Introduction
Time Series Data Preparation
Time Points Standardization
ART and ARTXP
Moving Averages, Lag, and Difference
ARIMA
Demo: Time Series in Excel
ARIMA in R
Which Algorithm Is Better?
Evaluation and Usage
Demo: Time Series in SSAS
Summary

Clustering
Introduction
Clustering and Hierarchical Methods
Hierarchical Methods and Dendrogram
Demo: Hierarchical Clustering in R
K-Means Clustering
Expectation-Maximization Clustering
Clustering Usage
Demo: Expectation-Maximization Clustering in SSAS
Demo: Finding Outliers in Excel
Summary

Association Rules and Sequence Clustering
Introduction
Association Rules and Support
Confidence and Importance
Demo: Association Rules in SSAS
Demo: Association Rules in Excel
Demo: Association Rules in R
Sequence Clustering
Markov Chains
MS Algorithm and Usage
Demo: Sequence Clustering in SSAS
Summary
[/spoiler]
Файлы примеров: присутствуют
Формат видео: MP4
Видео: AVC, 1024x768, 4:3, 15fps, 266kbps
Аудио: AAC, 44.1kHz, 192kbps, stereo
[spoiler="Скриншоты"]

[/spoiler]