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

Machine Learning for iOS Developers

List Price: $50.00
SKU:
9781119602873
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:
    Abhishek Mishra
    Format:
    Paperback
    Pages:
    336
    Publisher:
    Wiley (March 4, 2020)
    Language:
    English
    Audience:
    Professional and scholarly
    ISBN-13:
    9781119602873
    Weight:
    20oz
    Case Pack:
    22
    File:
    Wiley-wileyUS_2_1_20260915-20260915.xml
    Folder:
    Wiley
    List Price:
    $50.00
    As low as:
    $47.50
    Publisher Identifier:
    P-WIL
    Discount Code:
    D
    Dimensions:
    7.3" x 9" x 0.8"
    Country of Origin:
    United States
    Pub Discount:
    50
    Imprint:
    Wiley
  • Overview

    Harness the power of Apple iOS machine learning (ML) capabilities and learn the concepts and techniques necessary to be a successful Apple iOS machine learning practitioner!

    Machine earning (ML) is the science of getting computers to act without being explicitly programmed. A branch of Artificial Intelligence (AI), machine learning techniques offer ways to identify trends, forecast behavior, and make recommendations. The Apple iOS Software Development Kit (SDK) allows developers to integrate ML services, such as speech recognition and language translation, into mobile devices, most of which can be used in multi-cloud settings. Focusing on Apple’s ML services, Machine Learning for iOS Developers is an up-to-date introduction to the field, instructing readers to implement machine learning in iOS applications.

    Assuming no prior experience with machine learning, this reader-friendly guide offers expert instruction and practical examples of ML integration in iOS. Organized into two sections, the book’s clearly-written chapters first cover fundamental ML concepts, the different types of ML systems, their practical uses, and the potential challenges of ML solutions. The second section teaches readers to use models—both pre-trained and user-built—with Apple’s CoreML framework. Source code examples are provided for readers to download and use in their own projects. This book helps readers:

    • Understand the theoretical concepts and practical applications of machine learning used in predictive data analytics
    • Build, deploy, and maintain ML systems for tasks such as model validation, optimization, scalability, and real-time streaming
    • Develop skills in data acquisition and modeling, classification, and regression.
    • Compare traditional vs. ML approaches, and machine learning on handsets vs. machine learning as a service (MLaaS)
    • Implement decision tree based models, an instance-based machine learning system, and integrate Scikit-learn & Keras models with CoreML

    Machine Learning for iOS Developers is a must-have resource software engineers and mobile solutions architects wishing to learn ML concepts and implement machine learning on iOS Apps.