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Predictive analytics with TensorFlow...

Karim, Md. Rezaul.

Predictive analytics with TensorFlow :implement deep learning principles to predict valuable insights using TensorFlow /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	006.312
書名/作者:	Predictive analytics with TensorFlow : : implement deep learning principles to predict valuable insights using TensorFlow // Md. Rezaul Karim.
作者:	Karim, Md. Rezaul.
出版者:	Birmingham : : Packt Pub.,, 2017.
面頁冊數:	xvi, 496 p. : : ill. ;; 24 cm.
附註:	Includes index.
標題:	Data mining.
ISBN:	9781788398923 (pbk.) :
內容註:	Basic python and linear algebra for predictive analytics -- Statistics, probability, and information theory for predictive modeling -- From data to decisions : getting started with TensorFlow -- Putting data in place : supervised learning for predictive analytics -- Clustering your data : unsupervised learning for predictive analytics -- Predictive analytics pipelines for NLP -- Using deep neural networks for predictive analytics -- Using convolutional neural networks for predictive analytics -- Using recurrent neural networks for predictive analytics -- Recommendation systems for predictive analytics -- Using reinforcement learning for predictive analytics.
摘要、提要註:	Predictive analytics can assist in discovering hidden patterns in structured and unstructured data for automated decision-making. Learn how to build, tune, and deploy predictive models using TensorFlow.

Predictive analytics with TensorFlow :implement deep learning principles to predict valuable insights using TensorFlow /
Karim, Md. Rezaul.

Predictive analytics with TensorFlow :implement deep learning principles to predict valuable insights using TensorFlow /Md. Rezaul Karim. - Birmingham :Packt Pub.,2017. - xvi, 496 p. :ill. ;24 cm.

Includes index.

Basic python and linear algebra for predictive analytics -- Statistics, probability, and information theory for predictive modeling -- From data to decisions : getting started with TensorFlow -- Putting data in place : supervised learning for predictive analytics -- Clustering your data : unsupervised learning for predictive analytics -- Predictive analytics pipelines for NLP -- Using deep neural networks for predictive analytics -- Using convolutional neural networks for predictive analytics -- Using recurrent neural networks for predictive analytics -- Recommendation systems for predictive analytics -- Using reinforcement learning for predictive analytics.

Predictive analytics can assist in discovering hidden patterns in structured and unstructured data for automated decision-making. Learn how to build, tune, and deploy predictive models using TensorFlow.

ISBN: 9781788398923 (pbk.) :NTD 1,743Subjects--Uniform Titles:

TensorFlow (Electronic resource)
Subjects--Topical Terms:

337740
Data mining.

LC Class. No.: QA76.9.D343 / K365 2017

Dewey Class. No.: 006.312

Predictive analytics with TensorFlow :implement deep learning principles to predict valuable insights using TensorFlow /
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505 0 $a Basic python and linear algebra for predictive analytics -- Statistics, probability, and information theory for predictive modeling -- From data to decisions : getting started with TensorFlow -- Putting data in place : supervised learning for predictive analytics -- Clustering your data : unsupervised learning for predictive analytics -- Predictive analytics pipelines for NLP -- Using deep neural networks for predictive analytics -- Using convolutional neural networks for predictive analytics -- Using recurrent neural networks for predictive analytics -- Recommendation systems for predictive analytics -- Using reinforcement learning for predictive analytics.
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