目前查詢
歷史查詢
Machine learning for finance :principles and practice for financial insiders /
- 館藏(1)
- 書目資訊
- 心得(0)
- 機讀格式
- 標籤
書名 ： Machine learning for finance :principles and practice for financial insiders /
紀錄類型 ： 書目-語言資料,印刷品: 單行本
正題名[資料類型標示]/作者 ： Machine learning for finance :Jannes Klaas.
其他題名 ： principles and practice for financial insiders /
作者 ： Klaas, Jannes.
出版者 ： Birmingham, UK :Packt Publishing,c2019.
面頁冊數 ： xiv, 435 p. :ill. ;24 cm.
內容註 ： Neural networks and gradient-based optimization -- Applying machine learning to structured data -- Utilizing computer vision -- Understanding time series -- Parsing textual data with natural language processing -- Using generative models -- Reinforcement learning for financial markets -- Privacy, debugging, and launching your products -- Fighting bias -- Bayesian inference and probabilistic programming.
標題 ： Natural language processing (Computer science)
ISBN ： 9781789136364
集叢項 ： Expert insight
發表心得
LEADER 01166nam a2200229 a 4500
001 1048454
008 200930s2019 enka b 001 0 eng
020 $a9781789136364$q(pbk.) :$cNT$1202
020 $a1789136369$q(pbk.)
035 $aNO000196327
037 $b公共圖書館臺南分區資源中心
040 $aUMI$beng$cUMI$dTNTNM$eaacr2
050 4$aHG104$b.K53 2019
082 04$a332.0285/631$222
090 $a臺南市立圖書館
100 1 $aKlaas, Jannes.
245 10$aMachine learning for finance :$bprinciples and practice for financial insiders /$cJannes Klaas.
260 $aBirmingham, UK :$bPackt Publishing,$cc2019.
300 $axiv, 435 p. :$bill. ;$c24 cm.
490 1 $aExpert insight
504 $aIncludes bibliographical references and index.
505 0 $aNeural networks and gradient-based optimization -- Applying machine learning to structured data -- Utilizing computer vision -- Understanding time series -- Parsing textual data with natural language processing -- Using generative models -- Reinforcement learning for financial markets -- Privacy, debugging, and launching your products -- Fighting bias -- Bayesian inference and probabilistic programming.
650 0$aNatural language processing (Computer science)
650 0$aFinance$xData processing.
650 0$aFinance$xMathematical models.
650 0$aMachine learning.
653 $a科技創新
653 $a知識性
830 0$aExpert insight.