Módulo 5

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

See it Online