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Tin học đại cương : giáo trình

Tác giả: Nguyễn Đức Mận,...[et.al]

Trình bày tổng quan về máy tính và MS office - ứng dụng văn phòng.

Pattern recognition and machine learning

Tác giả: Christopher M. Bishop

Chapter 1: Introduction. Chapter 2: Probability distributions. Chapter 3: Linear model for regression. Chapter 4: Linear models for classification. Chapter 5: Neural networks. Chapter 6. Kernel methods. Chapter 7: Sparse Kernel machines. Chapter 8: Graphical models. Chapter 9: Mixture models and ...

The data model resource book : vol 1 : a library of universal data models by for all enterprises

The data model resource book : vol 2 : a library of universal data models by industry types (with CD)

Tác giả: Len Silverston

Chapter 1. Introduction. Chapter 2. Manufacturing. Chapter 3. Telecommunications. Chapter 4. Health care. Chapter 5. Insurance. Chapter 6.Financial services. Chapter 7. Professional services. Chapter 8. Travel. Chapter 9. E-commerce models. Chapter 10. Using the industry medels in the real world.

The data model resource book : vol 3 : universal patterns for data modeling

Tác giả: Len Silverston, Paul Agnew

Chapter 1: Introduction. Chapter 2. Setting up roles: What parties do. Chapter 3. Using roles: How parties are involved. Hierarchies, aggregations, and peer-to-peer relationship: The organization of similar data. Chapter 5. Types and catergories: The classification of data. Chapter 6. Status: The ...