Huawei Certified ICT Expert-Big Data-Data Mining (HCIE-BIG DATA-MIN)

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