Linkedin - Understanding Artificial Intelligence Concepts and Terminology with ISO - IEC 22989 - 2022

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[ WebToolTip.com ] Linkedin - Understanding Artificial Intelligence Concepts and Terminology with ISO - IEC 22989 - 2022
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! 01 - Introduction
    • 01 - The benefits of a common AI language.mp4 (4.1 MB)
    • 01 - The benefits of a common AI language.srt (1.3 KB)
    02 - 1. AI Concepts Clauses 5-5.10
    • 01 - Overview of AI concepts (Clause 5.1).mp4 (7.4 MB)
    • 01 - Overview of AI concepts (Clause 5.1).srt (5.0 KB)
    • 02 - Strong, weak, general, and narrow AI (Clause 5-5.2).mp4 (8.1 MB)
    • 02 - Strong, weak, general, and narrow AI (Clause 5-5.2).srt (4.8 KB)
    • 03 - AI agents (Clause 5.3).mp4 (9.6 MB)
    • 03 - AI agents (Clause 5.3).srt (7.5 KB)
    • 04 - AI knowledge (Clause 5.4).mp4 (5.4 MB)
    • 04 - AI knowledge (Clause 5.4).srt (3.9 KB)
    • 05 - Cognitive, semantic, and soft computing (Clause 5.5-5.7).mp4 (9.7 MB)
    • 05 - Cognitive, semantic, and soft computing (Clause 5.5-5.7).srt (6.9 KB)
    • 06 - Genetic symbolic and subsymbolic algorithms (Clause 5.8-5.9).mp4 (10.3 MB)
    • 06 - Genetic symbolic and subsymbolic algorithms (Clause 5.8-5.9).srt (6.8 KB)
    • 07 - Data (Clause 5.10).mp4 (9.8 MB)
    • 07 - Data (Clause 5.10).srt (6.8 KB)
    03 - 2. Machine Learning Concepts Clauses 5.11-5.12.4
    • 01 - Supervised, unsupervised, and semi-supervised (Clause 5.11-5.11.3).mp4 (10.9 MB)
    • 01 - Supervised, unsupervised, and semi-supervised (Clause 5.11-5.11.3).srt (6.8 KB)
    • 02 - Additional training processes (Clause 5.11.4-5.11.8).mp4 (11.0 MB)
    • 02 - Additional training processes (Clause 5.11.4-5.11.8).srt (8.6 KB)
    • 03 - Retraining ML models (Clause 5.11.9).mp4 (6.9 MB)
    • 03 - Retraining ML models (Clause 5.11.9).srt (4.5 KB)
    • 04 - Machine learning algorithms, part one (Clause 5.12-5.12.2).mp4 (10.3 MB)
    • 04 - Machine learning algorithms, part one (Clause 5.12-5.12.2).srt (7.1 KB)
    • 05 - Machine learning algorithms, part two (Clause 5.12.1.3-5.12.1.3.2).mp4 (8.9 MB)
    • 05 - Machine learning algorithms, part two (Clause 5.12.1.3-5.12.1.3.2).srt (6.6 KB)
    • 06 - Machine learning algorithms, part three (Clause 5.12.1.4 – 5.12.2).mp4 (9.8 MB)
    • 06 - Machine learning algorithms, part three (Clause 5.12.1.4 – 5.12.2).srt (6.6 KB)
    • 07 - Machine learning algorithms, part four (Clause 5.12.3 – 5.12.4).mp4 (15.8 MB)
    • 07 - Machine learning algorithms, part four (Clause 5.12.3 – 5.12.4).srt (10.5 KB)
    04 - 3. AI Technology and Administrative Controls
    • 01 - Autonomy, heteronomy, and automation (Clause 5.13).mp4 (8.3 MB)
    • 01 - Autonomy, heteronomy, and automation (Clause 5.13).srt (6.0 KB)
    • 02 - Internet of things and CPS (Clause 5.14).mp4 (12.4 MB)
    • 02 - Internet of things and CPS (Clause 5.14).srt (8.1 KB)
    • 03 - Trustworthiness, verification, and validation (Clause 5.15-5.16).mp4 (12.9 MB)
    • 03 - Trustworthiness, verification, and validation (Clause 5.15-5.16).srt (9.9 KB)
    • 04 - Jurisdictional issues and societal impact (Clause 5.17-5.18).mp4 (5.7 MB)
    • 04 - Jurisdictional issues and societal impact (Clause 5.17-5.18).srt (3.8 KB)
    • 05 - AI stakeholder roles (Clause 5.19-5.19.7).mp4 (9.6 MB)
    • 05 - AI stakeholder roles (Clause 5.19-5.19.7).srt (7.1 KB)
    05 - 4. AI System Lifecycle and Functional Overview Clause 6-7.4
    • 01 - AI system lifecycle overview (Clause 6.1).mp4 (8.6 MB)
    • 01 - AI system lifecycle overview (Clause 6.1).srt (4.8 KB)
    • 02 - Lifecycle stages and processes (Clause 6.2).mp4 (15.9 MB)
    • 02 - Lifecycle stages and processes (Clause 6.2).srt (9.3 KB)
    • 03 - AI data, information, knowledge, and learning (Clause 7-7.3).mp4 (6.3 MB)
    • 03 - AI data, information, knowledge, and learning (Clause 7-7.3).srt (5.0 KB)
    • 04 - AI predictions to actions (Clause 7.4-7.4.4).mp4 (6.7 MB)
    • 04 - AI predictions to actions (Clause 7.4-7.4.4).srt (4.9 KB)
    06 - 5. AI Ecosystem Clause 8-8.7
    • 01 - AI ecosystem and function with ML (Clause 8-8.4).mp4 (6.3 MB)
    • 01 - AI ecosystem and function with ML (Clause 8-8.4).srt (4.1 KB)
    • 02 - AI engineering (Clause 8.5-8.5.3).mp4 (5.6 MB)
    • 02 - AI engineering (Clause 8.5-8.5.3).srt (4.6 KB)
    • 03 - Big data (Clause 8.6-8.6.1).mp4 (5.9 MB)
    • 03 - Big data (Clause 8.6-8.6.1).srt (4.7 KB)
    • 04 - Cloud and edge computing (Clause 8.6.2).mp4 (7.9 MB)
    • 04 - Cloud and edge computing (Clause 8.6.2).srt (5.5 KB)
    • 05 - Resource pools and ASIC (Clause 8.7-8.7.2).mp4 (5.9 MB)
    • 05 - Resource pools and ASIC (Clause 8.7-8.7.2).srt (4.0 KB)
    07 - 6. Fields and Application of AI Clause 9-10.4
    • 01 - Computer vision and image recognition (Clause 9.1).mp4 (9.8 MB)
    • 01 - Computer vision and image recognition (Clause 9.1).srt (6.0 KB)
    • 02 - Natural language processing (Clause 9.2-9.2.1).mp4 (6.8 MB)
    • 02 - Natural language processing (Clause 9.2-9.2.1).srt (5.6 KB)
    • 03 - Data mining and planning (Clause 9.3-9.4).mp4 (7.9 MB)
    • 03 - Data mining and planning (Clause 9.3-9.4).srt (6.8 KB)
    • 04 - Application of AI systems (Clause 10-10.4).mp4 (10.3 MB)
    • 04 - Application of AI systems (Clause 10-10.4).srt (5.8 KB)
    08 - Conclusion
    • 01 - Continue your AI journey.mp4 (5.1 MB)
    • 01 - Continue your AI journey.srt (1.7 KB)
    • Bonus Resources.txt (0.1 KB)
    • Ex_Files_Understanding_AI_Concepts_ISOIEC Exercise Files
      • AdditionalResources.pdf (27.2 KB)

Description

Understanding Artificial Intelligence Concepts and Terminology with ISO/IEC 22989:2022

https://WebToolTip.com

Released 02/2025
With Lyron Andrews
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 2h 17m 4s | Size: 296 MB

Learn how the concepts and terminology of ISO/IEC 22989 aid your organization to establish common objectives and goals for AI use or production and maintain strategic alignment.

Course details
As the use cases and implementation of AI tools continue growing, there are risks of misinterpreting intent and purpose across an organization. Having an aligned understanding of strategies and objectives related to AI first begins with establishing a common organizational taxonomy. In this course, instructor Lyron Andrews shows you how the standard language of ISO/IEC 22989 concepts and terminology can establish a common language for AI within your organization. Lyron also nstrates how this document can be used to develop other standards and support communications among diverse interested parties or stakeholders.



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296.3 MB
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Linkedin - Understanding Artificial Intelligence Concepts and Terminology with ISO - IEC 22989 - 2022


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