TensorFlow powerful predictive analytics with tensorflow : a fast-paced guide on supervised, unsupervised, and reinforcement learning with tensorflow
Learn how to solve real life problems using different methods like logic regression, random forests and SVM's with TensorFlow. About This Book Understand predictive analytics along with its challenges and best practices Embedded with assessments that will help you revise the concepts you have l...
| Otros Autores: | |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Birmingham, England ; Mumbai, [India] :
Packt
2018.
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| Edición: | 1st edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631593606719 |
Tabla de Contenidos:
- Intro
- Title Page
- Copyright
- Credits
- Table of Contents
- Preface
- Lesson 1: From Data to Decisions - Getting Started with TensorFlow
- Taking Decisions Based on Data - Titanic Example
- Data Value Chain for Making Decisions
- From Disaster to Decision - 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 Installation
- TensorFlow 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 - Linear Regression and Beyond
- Source Code for the Linear Regression
- Summary
- Assessments
- Lesson 2: Putting Data in Place - Supervised Learning for Predictive Analytics
- Supervised Learning for Predictive Analytics
- Linear Regression - Revisited
- Problem Statement
- Using Linear Regression for Movie Rating Prediction
- From Disaster to Decision - 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 - Random Forest
- A Comparative Analysis
- Summary
- Assessments
- Lesson 3: Clustering Your Data - Unsupervised Learning for Predictive Analytics
- Unsupervised Learning and Clustering
- Using K-means for Predictive Analytics
- How K-means Works
- Using K-means for Predicting Neighborhoods
- Predictive 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.
