課程目標
- 介紹關於Python於大數據資料處理演算法之架構、流程與實作。並介紹深度學習演算法
用書
Learning Data Mining with Python, Robert Layton, Packt, 2015
- 1. Getting Started with Data Mining
- 2. Classifying with scikit-learn Estimators
- 3. Predicting Sports Winners with Decision Trees
- 4. Recommending Movies Using Affinity Analysis
- 5. Extracting Features with Transformers
- 6. Social Media Insight Using Naïve Bayes
- 7. Discovering Accounts to Follow Using Graph Mining Loading the dataset
- 8. Beating CAPTCHAs with Neural Networks
- 9. Authorship Attribution
- 10. Clustering News Articles
- 11. Classifying Objects in Images Using Deep Learning
- 12. Working with Big Data
Machine Learning in Python, Michael Bowles, Wiley, 2015
- 1. The Two Essential Algorithms for Making Predictions
- 2. Understand the Problem by Understanding the Data
- 3. Predictive Model Building: Balancing Performance, Complexity, and Big Data
- 4. Penalized Linear Regression
- 5. Ensemble Methods
- 6. Building Ensemble Models with Python