Advanced Big Data Analysis & Science
Contenidos:
- Statistical Models, Model Evaluation Measures (including cross-validation, bias-variance, confusion matrix & f-score)
- Machine Learning Algorithms, Pattern Identification (including association rules & apriori algorithm)
- Advanced Statistical Techniques (including parametric vs. non-parametric, clustering vs. non-clustering distance-based, supervised vs. semi-supervised)
- Linear Regression & Logistic Regression for Big Data
- Decision Trees for Big Data
- Classification Rules for Big Data
- K Nearest Neighbor (kNN) for Big Data
- Naïve Bayes for Big Data
- Association Rules for Big Data
- K-means for Big Data
- Text Analytics for Big Data
- Outlier Detection for Big Data
Category : BIG DATA
Date : 04 Jun 2015