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...
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| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham :
Packt Publishing,
2018.
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| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | 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 ... |
| Beschreibung: | "Predict valuable insights of your data with TensorFlow." |
| Beschreibung: | 1 online resource (165 pages) |
| ISBN: | 9781789130423 1789130425 |
Internformat
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| 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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| contents | 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. 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. 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. 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. |
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| id | ZDB-4-EBA-on1029492666 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-27T13:28:16Z |
| institution | BVB |
| isbn | 9781789130423 1789130425 |
| language | English |
| oclc_num | 1029492666 |
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| spelling | Karim, Md. Rezaul, author. TensorFlow : powerful predictive analytics with TensorFlow : rapid learning solution / Md. Rezaul Karim. Birmingham : Packt Publishing, 2018. 1 online resource (165 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier "Predict valuable insights of your data with TensorFlow." Print version record. 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. 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. 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. 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. 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 ... Open source software Library applications. http://id.loc.gov/authorities/subjects/sh2010013631 Open source software. http://id.loc.gov/authorities/subjects/sh99003437 Logiciels libres dans les bibliothèques. Logiciels libres. COMPUTER SCIENCE General. bisacsh Open source software fast Open source software Library applications fast Print version: Karim, Md. Rezaul. TensorFlow: Powerful Predictive Analytics with TensorFlow. Birmingham : Packt Publishing, ©2018 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1733801 Volltext |
| spellingShingle | Karim, Md. Rezaul TensorFlow : powerful predictive analytics with TensorFlow : rapid learning solution / 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. 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. 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. 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. Open source software Library applications. http://id.loc.gov/authorities/subjects/sh2010013631 Open source software. http://id.loc.gov/authorities/subjects/sh99003437 Logiciels libres dans les bibliothèques. Logiciels libres. COMPUTER SCIENCE General. bisacsh Open source software fast Open source software Library applications fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh2010013631 http://id.loc.gov/authorities/subjects/sh99003437 |
| title | TensorFlow : powerful predictive analytics with TensorFlow : rapid learning solution / |
| title_auth | TensorFlow : powerful predictive analytics with TensorFlow : rapid learning solution / |
| title_exact_search | TensorFlow : powerful predictive analytics with TensorFlow : rapid learning solution / |
| title_full | TensorFlow : powerful predictive analytics with TensorFlow : rapid learning solution / Md. Rezaul Karim. |
| title_fullStr | TensorFlow : powerful predictive analytics with TensorFlow : rapid learning solution / Md. Rezaul Karim. |
| title_full_unstemmed | TensorFlow : powerful predictive analytics with TensorFlow : rapid learning solution / Md. Rezaul Karim. |
| title_short | TensorFlow : |
| title_sort | tensorflow powerful predictive analytics with tensorflow rapid learning solution |
| title_sub | powerful predictive analytics with TensorFlow : rapid learning solution / |
| topic | Open source software Library applications. http://id.loc.gov/authorities/subjects/sh2010013631 Open source software. http://id.loc.gov/authorities/subjects/sh99003437 Logiciels libres dans les bibliothèques. Logiciels libres. COMPUTER SCIENCE General. bisacsh Open source software fast Open source software Library applications fast |
| topic_facet | Open source software Library applications. Open source software. Logiciels libres dans les bibliothèques. Logiciels libres. COMPUTER SCIENCE General. Open source software Open source software Library applications |
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