A First Course in Random Matrix Theory: For Physicists, Engineers and Data Scientists (Hardcover)
暫譯: 隨機矩陣理論入門：為物理學家、工程師與數據科學家而設 (精裝版)
Potters, Marc, Bouchaud, Jean-Philippe
- 出版商: Cambridge
- 出版日期: 2020-12-03
- 售價: $1,700
- 貴賓價: 9.8 折 $1,666
- 語言: 英文
- 頁數: 370
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1108488080
- ISBN-13: 9781108488082
-
相關分類:
機率統計學 Probability-and-statistics
立即出貨 (庫存=1)
買這商品的人也買了...
-
$1,188Fedora 11 and Red Hat Enterprise Linux Bible (Paperback) -
Elementary Number Theory, 7/e (IE-Paperback)$1,200$1,176 -
$1,680An Introduction to Statistical Learning: With Applications in R (Hardcover) -
Group Theory in a Nutshell for Physicists (Hardcover)$1,780$1,744 -
Computer Age Statistical Inference : Algorithms, Evidence, and Data Science (Hardocver)$2,980$2,831 -
線性代數, 9/e (Leon: Linear Algebra with Application, 9/e)$720$706 -
R語言 -- 邁向 Big Data之路 (最新版)$580$493 -
Geometric and Topological Inference (Paperback)$1,940$1,843 -
High-Dimensional Probability: An Introduction with Applications in Data Science (Hardcover)$1,650$1,617 -
High-Dimensional Statistics: A Non-Asymptotic Viewpoint (Hardcover)$1,680$1,646 -
Introduction to Algebraic Geometry (Paperback)$790$751 -
Machine Learning : A Bayesian and Optimization Perspective, 2/e (Hardcover)$3,800$3,610 -
演算法：最強彩色圖鑑 + Python程式實作 -- 王者歸來 (全彩印刷)$680$537 -
非監督式學習｜使用 Python (Hands-On Unsupervised Learning Using Python)$680$537 -
Mathematics for Machine Learning (Paperback)$1,520$1,490 -
Statistical Learning with Sparsity: The Lasso and Generalizations (Paperback)$2,200$2,090 -
Arbitrage Theory in Continuous Time, 4/e (Hardcover)$1,200$1,176 -
設計重構：25個管理技術債的技巧消除軟體設計臭味 (Refactoring for Software Design Smells: Managing Technical Debt)$520$406 -
強健的 Python｜撰寫潔淨且可維護的程式碼 (Robust Python: Write Clean and Maintainable Code)$680$537 -
Introduction to Algorithms, 4/e (Hardcover)$2,190$2,146 -
Advanced Topics in Quantum Field Theory: A Lecture Course, 2/e (Hardcover)$2,100$2,058 -
What Is a Quantum Field Theory? (Hardcover)$1,650$1,617 -
Quantum Field Theory, as Simply as Possible (Hardcover)$1,100$1,078 -
Network Models for Data Science: Theory, Algorithms, and Applications (Hardcover)$1,580$1,548 -
Graph Neural Networks in Action (Paperback)$2,200$2,090
