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A. Assessment Answers
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A. Assessment Answers
by Md. Rezaul Karim
TensorFlow: Powerful Predictive Analytics with TensorFlow
TensorFlow: Powerful Predictive Analytics with TensorFlow
TensorFlow: Powerful Predictive Analytics with TensorFlow
Credits
Meet Your Expert
Preface
What's in It for Me?
What Will I Get From This Book?
Prerequisites
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 with native pip
Installing with virtualenv
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
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
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
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
A. Assessment Answers
Lesson 1: From Data to Decisions – Getting Started with TensorFlow
Lesson 2: Putting Data in Place – Supervised Learning for Predictive Analytics
Lesson 3: Clustering Your Data – Unsupervised Learning for Predictive Analytics
Lesson 4: Using Reinforcement Learning for Predictive Analytics
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Assessments
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Lesson 2: Putting Data in Place – Supervised Learning for Predictive Analytics
Appendix A. Assessment Answers
Lesson 1: From Data to Decisions – Getting Started with TensorFlow
Question Number
Answer
1
2
2
True
3
True
4
A set of
tf.Operation
objects: This is used to represent units of computation to be performed
A
tf.Tensor
object: This is used to represent units of data that control the dataflow between operations
5
3
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