ARTIFICIAL INTELLIGENCE FOUNDATIONS
In alignment with BCS AI Foundation and Essentials certificates, this introductory guide provides the understanding you need to start building artificial intelligence (AI) capability into your organisation.
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Full Text (via Skillsoft) |
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| Format: | Electronic eBook |
| Language: | English |
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[Place of publication not identified]
BCS, THE CHARTERED INSTIT,
2020.
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| Subjects: |
MARC
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| 245 | 1 | 0 | |a ARTIFICIAL INTELLIGENCE FOUNDATIONS |
| 260 | |a [Place of publication not identified] |b BCS, THE CHARTERED INSTIT, |c 2020. | ||
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| 505 | 0 | |a Cover -- Copyright Page -- CONTENTS -- FIGURES AND TABLE -- AUTHORS -- ACKNOWLEDGEMENTS -- ABBREVIATIONS -- GLOSSARY -- USEFUL WEBSITES -- PREFACE -- 1 INTRODUCTION: ETHICAL AND SUSTAINABLE HUMAN AND ARTIFICIAL INTELLIGENCE -- 1.1 THE GENERAL DEFINITION OF HUMAN INTELLIGENCE -- 1.2 DEFINITION OF ARTIFICIAL INTELLIGENCE -- 1.3 A BRIEF HISTORY OF ARTIFICIAL INTELLIGENCE -- 1.4 SUSTAINABLE AI -- 1.5 MACHINE LEARNING -- A SIGNIFICANT CONTRIBUTION TO THE GROWTH OF ARTIFICIAL INTELLIGENCE -- 1.6 SUMMARY -- 2 ARTIFICIAL INTELLIGENCE AND ROBOTICS -- 2.1 UNDERSTANDING THE AI INTELLIGENT AGENT | |
| 505 | 8 | |a 2.2 WHAT IS A ROBOT? -- 2.3 WHAT IS AN INTELLIGENT ROBOT? -- 2.4 SUMMARY -- 3 APPLYING THE BENEFITS OF AI AND IDENTIFYING CHALLENGES AND RISKS -- 3.1 SUSTAINABILITY -- HOW OUR VALUES WILL CHANGE HUMANS, SOCIETY AND ORGANISATIONS -- 3.2 THE BENEFITS OF ARTIFICIAL INTELLIGENCE -- 3.3 THE CHALLENGES OF ARTIFICIAL INTELLIGENCE -- 3.4 UNDERSTANDING OF THE RISKS AI BRINGS TO PROJECTS -- 3.5 OPPORTUNITIES FOR AI -- 3.6 FUNDING AI PROJECTS -- THE NASA TECHNOLOGY READINESS LEVELS -- 3.7 SUMMARY -- 4 STARTING AI: HOW TO BUILD A MACHINE LEARNING TOOLBOX -- 4.1 HOW WE LEARN FROM DATA -- 4.2 NEURAL NETWORKS | |
| 505 | 8 | |a 4.3 AGENTS' FUNCTIONALITY -- 4.4 USING THE CLOUD -- CHEAP HIGH-PERFORMANCE COMPUTING FOR AI -- 4.5 SUMMARY -- 5 ALGORITHMS -- 5.1 WHAT IS AN ALGORITHM? -- 5.2 WHAT IS SPECIAL ABOUT AI/ML ALGORITHMS? -- 5.3 WHAT ARE SELF-LEARNING ALGORITHMS? -- 5.4 WHAT ARE THE ALGORITHMS USED IN MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE? -- 5.5 WHAT IS A DEEP LEARNING ALGORITHM? -- 5.6 THE ETHICAL USE OF ALGORITHMS -- 5.7 SUMMARY -- 6 THE MANAGEMENT, ROLES AND RESPONSIBILITIES OF HUMANS AND MACHINES -- 6.1 ARTIFICIAL INTELLIGENCE WILL DRIVE HUMANS AND MACHINES TO WORK TOGETHER | |
| 505 | 8 | |a 6.2 FUTURE DIRECTIONS OF HUMANS AND MACHINES WORKING TOGETHER -- 6.3 'LEARNING FROM EXPERIENCE' AGILE APPROACH TO PROJECTS -- 6.4 SUMMARY -- 7 AI IN USE IN INDUSTRY: REIMAGINING EVERYTHING IN THE FOURTH INDUSTRIAL REVOLUTION -- 7.1 AI ALREADY IN USE -- 7.2 SUMMARY -- 8 AI CASE STUDIES -- 8.1 PREDICTING THE PERFORMANCE OF A WAREHOUSE -- 8.2 THE WEATHER -- CONCENTRATION ON DATA PREPARATION -- 8.3 A CAMBRIDGE SPIN-OUT START-UP -- 8.4 SUMMARY -- REFERENCES -- FURTHER READING -- MACHINE LEARNING -- ADVANCED THEORETICAL TEXT -- INDEX -- Back Cover | |
| 520 | |a In alignment with BCS AI Foundation and Essentials certificates, this introductory guide provides the understanding you need to start building artificial intelligence (AI) capability into your organisation. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 650 | 0 | |a Artificial intelligence. | |
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