ý kiến bạn đọc

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 ...

The elements of statistical learning : data mining, inference, and prediction : 2nd ed.

Tác giả: Trevor Hastie; Robert Tibshirani; J H Friedman

Contents: 1. Introduction; 2. Overview of supervised learning; 3. Linear methods for regression; 4. Linear methods for classification; 5. Basis expansions and regularization; 6. Kernel smoothing methods; 7. Model assessment and selection; 8. Model inference and averaging; 9. Additive models, trees, ...

Machine learning : a probabilistic perspective

Tác giả: Kevin P Murphy

Including contesnts: Probability; Generative models for discrete data; Gaussian models; Bayesian statistics; Frequentist statistics; Linear regression; Logistic regression; Generalized linear models and the exponential family; Directed graphical models (Bayes nets); Mixture models and the EM ...

Software quality assurance : from theory to implementation

Tác giả: Daniel Galin

Part 1: Introduction. Part 2: Pre-project software quality components. Part 3: SQA components in the project life cycle. Part 4: Software quality infrastructure components. Part 5: Management components of software quality. Part 5: Standards, certification and assessment. Part 6: Organization for ...

Metrics and models in software quality engineering : 2nd ed.

Tác giả: Stephen H. Kan, Capers Jones

What is software quality. Software development process models. Fundamentals of measurement theory. Software quality metrics overview. Applying the seven basic quality tool in software development. Defect removal efectiveness. The rayleigh model. Exponential distribution and reliability growth ...