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Solve Business Problems with AI and Machine Learning · LearnSpace
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Solve Business Problems with AI and Machine Learning

Курс от CertNexus
Средний≈ 11.3 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Artificial intelligence (AI) and machine learning (ML) have become an essential part of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This is the first of four courses in the Certified Artificial Intelligence Practitioner (CAIP) professional certification. This course is meant as an entry point into the world of AI/ML. You'll learn about the business problems that AI/ML can solve, as well as the specific AI/ML technologies that can solve them. In addition, you'll get an overview of the general workflow involved in machine learning, as well as the tools and other resources that support it. This course also promotes the importance of ethics in AI/ML, and provides you with techniques for addressing ethical challenges. Ultimately, this course will get you thinking about the "why?" of AI/ML, and it will ensure that your more technical work in later courses is done with clear business goals in mind.

Навыки, которые вы освоите

Model TrainingModel EvaluationRegulatory ComplianceData EthicsCompliance TrainingEthical Standards And ConductProject ImplementationMachine Learning MethodsBusiness EthicsApplied Machine LearningResponsible AIArtificial IntelligenceBusiness SolutionsArtificial Intelligence and Machine Learning (AI/ML)AI literacyAI Product StrategyCompliance ManagementMachine Learning SoftwareMachine LearningData-Driven Decision-Making

Программа курса

4 модулей · 69 учебных материалов

01Apply AI and ML to Business Problems28 материалов

Overview

CAIP Specialization IntroductionВидеоSolve Business Problems with AI and Machine Learning Course IntroductionВидеоIdentify Data-Driven Emerging Technologies Module IntroductionВидеоOverviewЧтение

Учитесь у экспертов

Stacey McBrine

CDSP, CAIP, CIoTP, CIoTSP, CFR, CISSP, SSCP, CASP, CFR, CEI, CEH, ECSA, CHFI, CCNA, CCSI, CTT+, LINUX+, PENTEST+, SECURITY+, A+, SCNP, ITIL Foundations, ITIL SO, ITIL OSA, MCSA, MCITP

Solve Business Problems with AI and Machine Learning
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Обучение на Coursera

≈ 11.3 ч

4 модулей

Язык: Английский

Субтитры: Арабский, Французский, Узбекский, Украинский, Китайский (Китай), Греческий, Итальянский, Бразильский португальский, Нидерландский, Корейский, Немецкий, Пушту, Русский, Тайский, Индонезийский, Шведский, Турецкий, Испанский, Дари, Хинди, Японский, Казахский, Польский

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Get help and meet other learners. Join your Community!Чтение

Identify AI and ML Solutions for Business Problems

The Data HierarchyВидеоBig DataВидеоData MiningВидеоApplied AI and ML in BusinessВидеоAppropriate Business ProblemsВидеоChallenges of AI/MLВидеоIdentifying Appropriate Business Applications for AI and MLВзаимная проверка

Follow a Machine Learning Workflow

Machine Learning ModelВидеоMachine Learning WorkflowВидеоUseful SkillsetsВидеоConcept Drift and Transfer LearningВидеоGuidelines for Following the Machine Learning WorkflowЧтениеPlanning the Machine Learning WorkflowВзаимная проверка

Formulate a Machine Learning Problem

Problem FormulationВидеоFraming a Machine Learning ProblemВзаимная проверкаDifferences Between Traditional Programming and Machine LearningВидеоDifferences Between Supervised and Unsupervised LearningВидеоRandomness and UncertaintyВидеоMachine Learning OutcomesВидеоGuidelines for Formulating a Machine Learning Outcome ЧтениеSelecting a Machine Learning OutcomeВзаимная проверка

Evaluate What You've Learned

Applying AI and ML to Business ProblemsЗаданиеReflect on What You've LearnedОбсуждение
02Select Appropriate Tools13 материалов

Overview

Select Appropriate Tools Module IntroductionВидеоOverviewЧтение

AI and ML Toolsets

Open Source AI ToolsЧтениеProprietary AI ToolsЧтениеOpen Source and Proprietary AI Tools QuizЗаданиеNew Tools and TechnologiesВидеоHardware RequirementsВидеоGPU PlatformsЧтениеCloud PlatformsВидеоGuidelines for Configuring a Machine Learning ToolsetЧтениеMachine Learning ToolsЧтение

Evaluate What You’ve Learned

Selecting Appropriate ToolsЗаданиеReflect on What You've LearnedОбсуждение
03Promote Data Privacy and Ethical Practices27 материалов

Overview

Promote Data Privacy and Ethical Practices Module IntroductionВидеоOverviewЧтение

Protect Data Privacy

Data ProtectionВидеоData Privacy LawsВидеоPrivacy by DesignВидеоData Privacy Principles at Odds with Machine LearningВидеоCompliance with Data Privacy Laws and StandardsВидеоComplying with Applicable Laws and StandardsВзаимная проверкаData Sharing and PrivacyВидеоThe Big Data ChallengeВидеоGuidelines for Protecting Data PrivacyЧтениеProtecting Data PrivacyВзаимная проверка

Promote Ethical Practices

Preconceived NotionsВидеоThe Black Box ChallengeВидеоBias, Prejudice, and DiscriminationВидеоEthics in NLPВидеоUse of Data for Unintended PurposesВидеоGuidelines for Promoting Ethical PracticesЧтение

Establish Data Privacy and Ethics Policies

Privacy and Data Governance for AI and MLЧтениеIntellectual PropertyВидеоHumanitarian PrinciplesВидеоAsilomar AI PrinciplesВидеоGuidelines for Establishing Policies Covering Data Privacy and EthicsЧтениеEstablishing Policies Covering Data Privacy and EthicsВзаимная проверка

Evaluate What You've Learned

Promoting Data Privacy and Ethical PracticesЗаданиеReflect on What You've LearnedОбсуждение
04Apply What You've Learned1 материалов

Project

AI Project OutlineВзаимная проверка
Promoting Ethical PracticesВзаимная проверка