Machine learning for iOS developers / (Record no. 12687)
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| fixed length control field | 07883cam a2200757Mi 4500 |
| 001 - CONTROL NUMBER | |
| control field | on1141023689 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OCoLC |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240523125542.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m o d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr |n||||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 200220s2020 nju o 000 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | YDX |
| Language of cataloging | eng |
| Description conventions | pn |
| -- | rda |
| Transcribing agency | YDX |
| Modifying agency | EBLCP |
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| -- | TEFOD |
| -- | OCLCQ |
| -- | OCLCO |
| -- | YDX |
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| 019 ## - | |
| -- | 1141037410 |
| -- | 1143846866 |
| -- | 1147817102 |
| -- | 1147852120 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781119602910 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1119602912 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781119602903 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1119602904 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781119602927 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1119602920 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 1119602874 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9781119602873 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1002/9781119602927 |
| Source of number or code | doi |
| 029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
| OCLC library identifier | AU@ |
| System control number | 000066881811 |
| 029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
| OCLC library identifier | AU@ |
| System control number | 000072394053 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)1141023689 |
| Canceled/invalid control number | (OCoLC)1141037410 |
| -- | (OCoLC)1143846866 |
| -- | (OCoLC)1147817102 |
| -- | (OCoLC)1147852120 |
| 037 ## - SOURCE OF ACQUISITION | |
| Stock number | 3543C3E3-EBE8-4C7B-877D-AE95009596E8 |
| Source of stock number/acquisition | OverDrive, Inc. |
| Note | http://www.overdrive.com |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | Q325.5 |
| Item number | .M57 2020 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.3/1 |
| Edition number | 23 |
| 049 ## - LOCAL HOLDINGS (OCLC) | |
| Holding library | MAIN |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Mishra, Abhishek, |
| Relator term | author. |
| 245 10 - TITLE STATEMENT | |
| Title | Machine learning for iOS developers / |
| Statement of responsibility, etc. | Abhishek Mishra. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Hoboken, NJ : |
| Name of producer, publisher, distributor, manufacturer | John Wiley And Sons, Inc, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2020. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Media type code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Carrier type code | cr |
| Source | rdacarrier |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Introduction -- What Does This Book Cover? -- Additional Resources -- Reader Support for This Book -- Part 1 Fundamentals of Machine Learning -- Chapter 1 Introduction to Machine Learning -- What Is Machine Learning? -- Tools Commonly Used by Data Scientists -- Common Terminology -- Real-World Applications of Machine Learning -- Types of Machine Learning Systems -- Supervised Learning -- Unsupervised Learning -- Semisupervised Learning |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Reinforcement Learning -- Batch Learning -- Incremental Learning -- Instance-Based Learning -- Model-Based Learning -- Common Machine Learning Algorithms -- Linear Regression -- Support Vector Machines -- Logistic Regression -- Decision Trees -- Artificial Neural Networks -- Sources of Machine Learning Datasets -- Scikit-learn Datasets -- AWS Public Datasets -- Kaggle.com Datasets -- UCI Machine Learning Repository -- Summary -- Chapter 2 The Machine-Learning Approach -- The Traditional Rule-Based Approach -- A Machine-Learning System -- Picking Input Features |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Preparing the Training and Test Set -- Picking a Machine-Learning Algorithm -- Evaluating Model Performance -- The Machine-Learning Process -- Data Collection and Preprocessing -- Preparation of Training, Test, and Validation Datasets -- Model Building -- Model Evaluation -- Model Tuning -- Model Deployment -- Summary -- Chapter 3 Data Exploration and Preprocessing -- Data Preprocessing Techniques -- Obtaining an Overview of the Data -- Handling Missing Values -- Creating New Features -- Transforming Numeric Features -- One-Hot Encoding Categorical Features -- Selecting Training Features |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Correlation -- Principal Component Analysis -- Recursive Feature Elimination -- Summary -- Chapter 4 Implementing Machine Learning on Mobile Apps -- Device-Based vs. Server-Based Approaches -- Apple's Machine Learning Frameworks and Tools -- Task-Level Frameworks -- Model-Level Frameworks -- Format Converters -- Transfer Learning Tools -- Third-Party Machine-Learning Frameworks and Tools -- Summary -- Part 2 Machine Learning with CoreML, CreateML, and TuriCreate -- Chapter 5 Object Detection Using Pre-trained Models -- What Is Object Detection? |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | A Brief Introduction to Artificial Neural Networks -- Downloading the ResNet50 Model -- Creating the iOS Project -- Creating the User Interface -- Updating Privacy Settings -- Using the Resnet50 Model in the iOS Project -- Summary -- Chapter 6 Creating an Image Classifier with the Create ML App -- Introduction to the Create ML App -- Creating the Image Classification Model with the Create ML App -- Creating the iOS Project -- Creating the User Interface -- Updating Privacy Settings -- Using the Core ML Model in the iOS Project -- Summary -- Chapter 7 Creating a Tabular Classifier with Create ML |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | 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. |
| 590 ## - LOCAL NOTE (RLIN) | |
| Local note | John Wiley and Sons |
| Provenance (VM) [OBSOLETE] | Wiley Online Library: Complete oBooks |
| 630 00 - SUBJECT ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | iOS (Electronic resource) |
| 630 07 - SUBJECT ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | iOS (Electronic resource) |
| Source of heading or term | fast |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Machine learning. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computers. |
| 650 #2 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computers |
| 650 #2 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Machine Learning |
| 650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Apprentissage automatique. |
| 650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Ordinateurs. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | computers. |
| Source of heading or term | aat |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | COMPUTERS |
| General subdivision | Machine Theory. |
| Source of heading or term | bisacsh |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computers |
| Source of heading or term | fast |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Machine learning |
| Source of heading or term | fast |
| 758 ## - RESOURCE IDENTIFIER | |
| Relationship information | has work: |
| Label | Machine learning for iOS developers (Text) |
| Real World Object URI | https://id.oclc.org/worldcat/entity/E39PCGVKyQ9XrpRfvxFThGJdQq |
| Relationship | https://id.oclc.org/worldcat/ontology/hasWork |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Print version: |
| Main entry heading | Mishra, Abhishek. |
| Title | Machine learning for ios developers. |
| Place, publisher, and date of publication | [Place of publication not identified] : John Wiley And Sons, Inc, 2020 |
| International Standard Book Number | 1119602874 |
| -- | 9781119602873 |
| Record control number | (OCoLC)1125970961 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://onlinelibrary.wiley.com/doi/book/10.1002/9781119602927">https://onlinelibrary.wiley.com/doi/book/10.1002/9781119602927</a> |
| 938 ## - | |
| -- | ProQuest Ebook Central |
| -- | EBLB |
| -- | EBL6109530 |
| 938 ## - | |
| -- | EBSCOhost |
| -- | EBSC |
| -- | 2373480 |
| 938 ## - | |
| -- | Recorded Books, LLC |
| -- | RECE |
| -- | rbeEB00811921 |
| 938 ## - | |
| -- | YBP Library Services |
| -- | YANK |
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| -- | YBP Library Services |
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| 938 ## - | |
| -- | Askews and Holts Library Services |
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| -- | AH36900010 |
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| -- | 92 |
| -- | INLUM |
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