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TensorFlow: Powerful Predictive Analytics with TensorFlow

You're reading from   TensorFlow: Powerful Predictive Analytics with TensorFlow Predict valuable insights of your data with TensorFlow

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Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781789136913
Length 164 pages
Edition 1st Edition
Languages
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Author (1):
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 Karim Karim
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Karim
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Table of Contents (8) Chapters Close

TensorFlow: Powerful Predictive Analytics with TensorFlow
Credits
Preface
1. From Data to Decisions – Getting Started with TensorFlow 2. Putting Data in Place – Supervised Learning for Predictive Analytics FREE CHAPTER 3. Clustering Your Data – Unsupervised Learning for Predictive Analytics 4. Using Reinforcement Learning for Predictive Analytics Assessment Answers

Assessments


  1. Depending on the nature of the learning feedback available, the machine learning process is typically classified into three broad categories. Name them.

  2. State whether the following statement is True or False: Using the brute-force approach such as if-else statements with some sort of weighted scoring system, you cannot write a program to predict whether a given passenger would survive the disaster.

  3. Upon invoking the main() method, model_params containing the learning rate instantiates the Estimator. How can you define the model_params as?

  4. State whether the following statement is True or False: Each branch of a decision tree represents a possible decision, occurrence, or reaction in terms of statistical probability.

  5. A predictive model based on supervised learning algorithms can make predictions based on a labeled _______ that maps inputs to outputs aligning with the real world.

    1. Dataflow graph

    2. Linear graph

    3. Regression model

    4. Dataset

You have been reading a chapter from
TensorFlow: Powerful Predictive Analytics with TensorFlow
Published in: Mar 2018
Publisher: Packt
ISBN-13: 9781789136913
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