Java How to Program, Early Objects (11th Edition) (Deitel: How to Program)
Java How to Program, Early Objects (11th Edition) (Deitel: How to Program)
11th Edition
ISBN: 9780134743356
Author: Paul J. Deitel, Harvey Deitel
Publisher: PEARSON
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Chapter 1, Problem 6MD
Program Plan Intro

  Big data

  • Big data is used to analyze and extract information from different data sets that are too large or complex.
  • Data in many cases offer great statistical power while data with higher complexity lead to higher false discovery rate.
  • Big data is associated with three key concepts such as volume, variety and velocity.

Explanation of Solution

Application of big data in health care

  • One of the most effective uses of big data in health care is medical imaging.
  • Computers can learn to interpret mammographies and other types of images and to identify patterns in data, and detect tumors and so on.
  • Big data is moving medical science to a whole new level, from computerizing medical records to drug discovery and genetic disease exploration...

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solve this questions for me .
a) first player is the minimizing player. What move should be chosen?b) What nodes would not need to be examined using the alpha-beta pruning procedure?
Consider the problem of finding a path in the grid shown below from the position S to theposition G. The agent can move on the grid horizontally and vertically, one square at atime (each step has a cost of one). No step may be made into a forbidden crossed area. Inthe case of ties, break it using up, left, right, and down.(a) Draw the search tree in a greedy search. Manhattan distance should be used as theheuristic function. That is, h(n) for any node n is the Manhattan distance from nto G. The Manhattan distance between two points is the distance in the x-directionplus the distance in the y-direction. It corresponds to the distance traveled along citystreets arranged in a grid. For example, the Manhattan distance between G and S is4. What is the path that is found by the greedy search?(b) Draw the search tree in an A∗search. Manhattan distance should be used as the

Chapter 1 Solutions

Java How to Program, Early Objects (11th Edition) (Deitel: How to Program)

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