书目详细信息
： Machine learning and big data with kdb+/q /
书目信息 机读格式(MARC)
| ISBN： | 9781119404750 |
|---|---|
| ISBN： | 1119404754 |
| 编目源： | LBSOR/DLC DLC OCLCO OCLCF BKL OCLCO |
| 个人名称： | Novotny, Jan,1982- |
| 题名： | Machine learning and big data with kdb+/q / Jan Novotny, Paul A. Bilokon, Aris Galiotos, Frédéric Déléze. |
| 索书号： | TP312/N943E |
| 载体形态： | xxiv, 613 pages : illustrations ; 25 cm. |
| 书目附注： | Includes bibliographical references and index. |
| 格式化内容附注： | Fundamentals of the q programming language -- Dictionaries and tables : the q fundamentals -- Functions -- Editors and other tools -- Debugging q code -- Splayed and partitioned tables -- Joins -- Parallelisation -- Data cleaning and filtering -- Parse trees -- A few use cases -- Basic overview of statistics -- Linear regression -- Time series econometrics -- Fourier transform -- Eigensystem and PCA -- Outlier detection -- Simulating asset prices -- Basic principles of machine learning -- Linear regression with regularisation -- Nearest neighbours -- Neural networks -- AdaBoost with stumps -- Trees -- Forests -- Unsupervised machine learning : the Apriori algorithm -- Processing information -- Towards AI : Monte Carlo tree search -- Econophysics : the agent-based computational models -- Epilogue: Art. |