Machine learning for signal processing : data science, algorithms, and computational statistics / Max A. Little
نوع المادة :
نصاللغة: الإنجليزية الناشر:Oxford ; New York, NY : Oxford University Press, 2019الطبعات:First editionوصف:xviii, 359 pages; illustrations ; 31 cmنوع المحتوى:- text
- unmediated
- volume
- 0191024317
- 0191879185
- 9780191024313
- 9780191879180
- 9780198714934
- Q325.5 .L584 2019
| نوع المادة | المكتبة الحالية | رقم الطلب | رقم النسخة | حالة | تاريخ الإستحقاق | الباركود | حجوزات مادة | |
|---|---|---|---|---|---|---|---|---|
كتاب
|
UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | Q325.5 .L584 2019 (إستعراض الرف(يفتح أدناه)) | C.1 | Library Use Only | داخل المكتبة فقط | 30030000019519 | |||
كتاب
|
UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | Q325.5 .L584 2019 (إستعراض الرف(يفتح أدناه)) | C.2 | المتاح | 30030000019594 |
Includes bibliographical references and index
Chapter 1: Mathematical foundations -- Chapter 2: Optimization -- Chapter 3: Random sampling -- Chapter 4: Statistical modelling and inference -- Chapter 5: Probabilistic graphical models -- Chapter 6: Statistical machine learning -- Chapter 7: Linear-Gaussian systems and signal processing -- Chapter 8: Discrete signals: sampling, quantization and coding -- Chapter 9: Nonlinear and non-Gaussian signal processing -- Chapter 10: Nonparametric Bayesian machine learning and signal processing
Describes in detail the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the most important and exciting technologies in the modern information economy. Builds up concepts gradually so that the ideas and algorithms can be implemented in practical software applications
