Huawei Certified ICT Expert-Big Data-Data Mining (HCIE-BIG DATA-MIN) – Программа курса
Программа курса
- Chapter 1 Data Mining
- Overview
- Data Mining Process
- Data, Attributes, and Measurement
- Development Tools for Data Mining
- Learning Path for Data Mining
- Chapter 2 Prerequisites
- Matrix and Linear Algebra
- Probability Theory and Mathematical Statistics
- Information Entropy and Gini Coefficient
- Optimization Problem
- Python Language Basics
- Data Collection and Crawling
- Data Visualization
- Quiz
- In-class Practice
- Chapter 3 Data Preprocessing
- Data Extraction, Transformation, and Loading
- Data Cleansing
- Feature Processing
- Quiz
- In-class Practice
- Chapter 4 Feature Selection and Dimension Reduction
- Feature Selction
- Dimensionality Reduction
- Quiz
- In-class Practice
- Chapter 5 Supervised Learning
- Prerequisites
- Linear Regression
- Logistic regression
- KNN
- Naive Bayes
- SVM
- Decision Tree
- Integration Algorithms
- Quiz
- In-class Practice
- Chapter 6 Unsupervised Learning
- Unsupervised Learning
- Clustering Algorithm
- Correlation Algorithm
- Quiz
- In-class Practice
- Chapter 7 Model Evaluation and Optimization
- Prerequisites for Model Evaluation and Optimization
- Optimization Model
- Model Evaluation and Selection
- Regularization
- Chapter 8 Comprehensive Application of Data Mining
- Data Mining Process
- Case Study of Comprehensive Application
- Chapter 9 Data Mining Using Spark MLlib
- Spark MLlib Overview
- Spark MLlib Basic Statistics
- Spark MLlib Feature Extraction and Conversion
- Spark MLlib Classification and Regression
- Spark MLlib Clustering and Dimension Reduction
- Spark MLlib Association Rule and Recommendation Algorithms
- Spark MLlib Evaluation Metrics
- Chapter 10 Huawei Machine Learning Development Tools
- Huawei ML Studio
- Applying for ML Studio
- Creating an ML Studio Workflow
- Applications of Typical Algorithms
- Machine Learning Platform FusionInsight Miner
- Chapter 11 Big Data Architecture and Governance
- Big Data Architecture
- Big Data Governance
- Chapter 12 Big Data Mining
- Data Mining Background
- Case: Bank Customer Profiling
- Case: Improving Credit Card Security
- Case: Quality Analysis of Urban Environment
- Big Data Mining Comprehensive Experiment
- House Price Forecast
- Credit Default Forecast
- Crime Type Forecast
- Loan Product Forecast