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Sinopsis
AI and Data Literacy is designed for independent learners or college-level courses in data analytics, statistics, and artificial intelligence. The text integrates conceptual foundations with hands-on learning through applied labs, real-world datasets, and guided exercises. Intended for full-semester academic use, this edition supports students and instructors in developing practical AI and data literacy skills.
Learning resources are available from the publisher (www.datajoyai.com).
Introduction to data and AI basics
Types of data (structured and unstructured)
Data lifecycle and data quality
Data cleaning and metadata
Basics of R programming
Data storage formats (CSV, JSON, Parquet)
Databases, cloud storage, and APIs
Introduction to machine learning
Supervised and unsupervised learning
How AI learns from data
Real-world AI applications
Basic statistics and data analysis
Data visualization and charts
Outlier detection
Prompt engineering basics
Evaluating AI outputs
Human and AI collaboration
AI ethics and fairness
Privacy and responsible AI
AI risks like bias and misinformation
Hands-on labs and practical exercises
"Sinopsis" puede pertenecer a otra edición de este libro.
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AI and Data Literacy (Paperback or Softback)
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Datajoyai 6/24/2026, 2026
ISBN 10: 1969233370
ISBN 13: 9781969233371
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AI and Data Literacy
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AI and Data Literacy (Paperback)
Impresión bajo demandaLibrería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
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Paperback. Condición: new. Paperback. AI and Data Literacy is designed for independent learners or college-level courses in data analytics, statistics, and artificial intelligence. The text integrates conceptual foundations with hands-on learning through applied labs, real-world datasets, and guided exercises. Intended for full-semester academic use, this edition supports students and instructors in developing practical AI and data literacy skills.Learning resources are available from the publisher .Introduction to data and AI basicsTypes of data (structured and unstructured)Data lifecycle and data qualityData cleaning and metadataBasics of R programmingData storage formats (CSV, JSON, Parquet)Databases, cloud storage, and APIsIntroduction to machine learningSupervised and unsupervised learningHow AI learns from dataReal-world AI applicationsBasic statistics and data analysisData visualization and chartsOutlier detectionPrompt engineering basicsEvaluating AI outputsHuman and AI collaborationAI ethics and fairnessPrivacy and responsible AIAI risks like bias and misinformationHands-on labs and practical exercises AI and Data Literacy explores data basics, data quality, storage, machine learning, analytics, visualization, prompt engineering, AI evaluation, ethics, fairness, privacy, and responsible AI through practical labs and real-world examples. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781969233371
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AI and Data Literacy (Paperback)
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Paperback. Condición: new. Paperback. AI and Data Literacy is designed for independent learners or college-level courses in data analytics, statistics, and artificial intelligence. The text integrates conceptual foundations with hands-on learning through applied labs, real-world datasets, and guided exercises. Intended for full-semester academic use, this edition supports students and instructors in developing practical AI and data literacy skills.Learning resources are available from the publisher .Introduction to data and AI basicsTypes of data (structured and unstructured)Data lifecycle and data qualityData cleaning and metadataBasics of R programmingData storage formats (CSV, JSON, Parquet)Databases, cloud storage, and APIsIntroduction to machine learningSupervised and unsupervised learningHow AI learns from dataReal-world AI applicationsBasic statistics and data analysisData visualization and chartsOutlier detectionPrompt engineering basicsEvaluating AI outputsHuman and AI collaborationAI ethics and fairnessPrivacy and responsible AIAI risks like bias and misinformationHands-on labs and practical exercises AI and Data Literacy explores data basics, data quality, storage, machine learning, analytics, visualization, prompt engineering, AI evaluation, ethics, fairness, privacy, and responsible AI through practical labs and real-world examples. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9781969233371
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AI and Data Literacy (Paperback)
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Paperback. Condición: new. Paperback. AI and Data Literacy is designed for independent learners or college-level courses in data analytics, statistics, and artificial intelligence. The text integrates conceptual foundations with hands-on learning through applied labs, real-world datasets, and guided exercises. Intended for full-semester academic use, this edition supports students and instructors in developing practical AI and data literacy skills.Learning resources are available from the publisher .Introduction to data and AI basicsTypes of data (structured and unstructured)Data lifecycle and data qualityData cleaning and metadataBasics of R programmingData storage formats (CSV, JSON, Parquet)Databases, cloud storage, and APIsIntroduction to machine learningSupervised and unsupervised learningHow AI learns from dataReal-world AI applicationsBasic statistics and data analysisData visualization and chartsOutlier detectionPrompt engineering basicsEvaluating AI outputsHuman and AI collaborationAI ethics and fairnessPrivacy and responsible AIAI risks like bias and misinformationHands-on labs and practical exercises AI and Data Literacy explores data basics, data quality, storage, machine learning, analytics, visualization, prompt engineering, AI evaluation, ethics, fairness, privacy, and responsible AI through practical labs and real-world examples. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9781969233371
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AI and Data Literacy
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