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TensorFlow : powerful predictive analytics with TensorFlow : rapid learning solution /
Predictive analytics discovers hidden patterns from structured and unstructured data for automated decision making in business intelligence. Predictive decisions are becoming a huge trend worldwide, catering to wide industry sectors by predicting which decisions are more likely to give maximum resul...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing,
2018.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 1 | 0 | |a TensorFlow : |b powerful predictive analytics with TensorFlow : rapid learning solution / |c Md. Rezaul Karim. |
| 260 | |a Birmingham : |b Packt Publishing, |c 2018. | ||
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| 500 | |a "Predict valuable insights of your data with TensorFlow." | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Intro; Title Page; Copyright; Credits; Table of Contents; Preface; Lesson 1: From Data to Decisions â#x80;#x93; Getting Started with TensorFlow; Taking Decisions Based on Data â#x80;#x93; Titanic Example; Data Value Chain for Making Decisions; From Disaster to Decision â#x80;#x93; Titanic Survival Example; General Overview of TensorFlow; Installing and Configuring TensorFlow; Installing TensorFlow on Linux; Installing Python and nVidia Driver; Installing NVIDIA CUDA; Installing NVIDIA cuDNN v5.1+; Installing the libcupti-dev Library; Installing TensorFlow; Installing TensorFlow from Source. | |
| 505 | 8 | |a Testing Your TensorFlow InstallationTensorFlow Computational Graph; TensorFlow Programming Model; Data Model in TensorFlow; Tensors; Rank; Shape; Data Type; Variables; Fetches; Feeds and Placeholders; TensorBoard; How Does TensorBoard Work?; Getting Started with TensorFlow â#x80;#x93; Linear Regression and Beyond; Source Code for the Linear Regression; Summary; Assessments; Lesson 2: Putting Data in Place â#x80;#x93; Supervised Learning for Predictive Analytics; Supervised Learning for Predictive Analytics; Linear Regression â#x80;#x93; Revisited; Problem Statement. | |
| 505 | 8 | |a Using Linear Regression for Movie Rating PredictionFrom Disaster to Decision â#x80;#x93; Titanic Example Revisited; An Exploratory Analysis of the Titanic Dataset; Feature Engineering; Logistic Regression for Survival Prediction; Using TensorFlow Contrib; Linear SVM for Survival Prediction; Ensemble Method for Survival Prediction â#x80;#x93; Random Forest; A Comparative Analysis; Summary; Assessments; Lesson 3: Clustering Your Data â#x80;#x93; Unsupervised Learning for Predictive Analytics; Unsupervised Learning and Clustering; Using K-means for Predictive Analytics; How K-means Works. | |
| 505 | 8 | |a Using K-means for Predicting NeighborhoodsPredictive Models for Clustering Audio Files; Using kNN for Predictive Analytics; Working Principles of kNN; Implementing a kNN-Based Predictive Model; Summary; Assessments; Lesson 4: Using Reinforcement Learning for Predictive Analytics; Reinforcement Learning; Reinforcement Learning in Predictive Analytics; Notation, Policy, and Utility in RL; Policy; Utility; Developing a Multiarmed Bandit's Predictive Model; Developing a Stock Price Predictive Model; Summary; Assessments; Appendix: Assessment Answers. | |
| 520 | |a Predictive analytics discovers hidden patterns from structured and unstructured data for automated decision making in business intelligence. Predictive decisions are becoming a huge trend worldwide, catering to wide industry sectors by predicting which decisions are more likely to give maximum results. TensorFlow, Google's brainchild, is ... | ||
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