Search Results Heading

Mohammed Bin Rashid Library /
Catalogue /
Catalogue Search

Explore the vast range of titles available.

MBRLSearchResults

mbrl.module.common.modules.added.book.to.shelf
Title added to your shelf!
View what I already have on My Shelf.
Thanks
Oops! Something went wrong.
Oops! Something went wrong.
While trying to add the title to your shelf something went wrong :( Kindly try again later!
Done
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
{{itemTitle}}
by {{itemAuthor}} In {{itemCategory}}, {{itemType}}
Confirm
Oops! Something went wrong.
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Done
    Done
    Filters
    Reset
  • Reading Level
      Done
      Reading Level
      Clear All
      Reading Level
  • Content Type
      Done
      Content Type
      Clear All
      Content Type
  • Item Type
      Done
      Item Type
      Clear All
      Item Type
  • Is Full-Text Available
      Done
      Is Full-Text Available
      Clear All
      Is Full-Text Available
  • Year
      Done
      Year
      Clear All
      From:
      -
      To:
  • More Filters
      Done
      More Filters
      Clear All
      More Filters
      Subject
      • Country Of Publication
      • Publisher
      • Source
      • Target Audience
      • Donor
      • Language
      • Place of Publication
      • Contributors
      • Location
      • Add
      Clear Filters
1 result(s) for "Paluszek, Michael, author"
Sort by:
MATLAB machine learning recipes : a problem-solution approach
by Paluszek, Michael, author , Thomas, Stephanie, author in MATLAB. , Machine learning. , Numerical analysis Computer programs.
2019
Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies critical to machine learning. Each example solves a real-world problem. All code in 'MATLAB Machine Learning Recipes' is executable. The toolbox that the code uses provides a complete set of functions needed to implement all aspects of machine learning. Authors Michael Paluszek and Stephanie Thomas show how all of these technologies allow the reader to build sophisticated applications to solve problems with pattern recognition, autonomous driving, expert systems, and much more.
Book
Share this book
Add to My Shelf