null
Loading... Please wait...
FREE SHIPPING on All Unbranded Items LEARN MORE
Print This Page

Applications of Machine Learning and Deep Learning on Biological Data

List Price: $63.99
SKU:
9781032358260
Quantity:
Minimum Purchase
25 unit(s)
  • Availability: Confirm prior to ordering
  • Branding: minimum 50 pieces (add’l costs below)
  • Check Freight Rates (branded products only)

Branding Options (v), Availability & Lead Times

  • 1-Color Imprint: $2.00 ea.
  • Promo-Page Insert: $2.50 ea. (full-color printed, single-sided page)
  • Belly-Band Wrap: $2.50 ea. (full-color printed)
  • Set-Up Charge: $45 per decoration
FULL DETAILS
  • Availability: Product availability changes daily, so please confirm your quantity is available prior to placing an order.
  • Branded Products: allow 10 business days from proof approval for production. Branding options may be limited or unavailable based on product design or cover artwork.
  • Unbranded Products: allow 3-5 business days for shipping. All Unbranded items receive FREE ground shipping in the US. Inquire for international shipping.
  • RETURNS/CANCELLATIONS: All orders, branded or unbranded, are NON-CANCELLABLE and NON-RETURNABLE once a purchase order has been received.
  • Product Details

    Author:
    Faheem Masoodi, Mohammad Quasim, Syed Bukhari, Sarvottam Dixit, Shadab Alam
    Format:
    Paperback
    Pages:
    210
    Publisher:
    CRC Press (October 7, 2024)
    Language:
    English
    Audience:
    Professional and scholarly
    ISBN-13:
    9781032358260
    Dimensions:
    6.125" x 9.1875"
    File:
    TAYLORFRANCIS-TayFran_260605045600021-20260605.xml
    Folder:
    TAYLORFRANCIS
    List Price:
    $63.99
    Country of Origin:
    United States
    Pub Discount:
    30
    Series:
    Advances in Computational Collective Intelligence
    As low as:
    $60.79
    Publisher Identifier:
    P-CRC
    Discount Code:
    H
    Weight:
    11.25oz
    Case Pack:
    46
    Imprint:
    Auerbach Publications
  • Overview

    This book provides readers a comprehensive understanding of the application of machine Learning and deep Learning in proteomics, genomics, microarrays, text mining and related fields. The key objective is to provide machine learning applications to biological science problems, focusing on problems related to bioinformatics.