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210221s2020 xx o 000 0 eng d |
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20241122143906.8 |
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|a (OCoLC)1237966580
|z (OCoLC)1237867243
|z (OCoLC)1240172457
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|a 1237867243
|a 1240172457
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|a 9781780175294
|q (electronic bk.)
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|a Q335
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| 049 |
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|a MAIN
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| 100 |
1 |
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|a LOWE, ANDREW. LAWLESS, STEVE.
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| 245 |
1 |
0 |
|a ARTIFICIAL INTELLIGENCE FOUNDATIONS.
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| 260 |
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|a [Place of publication not identified]
|b BCS, THE CHARTERED INSTIT,
|c 2020.
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| 300 |
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|a 1 online resource
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| 336 |
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|a text
|b txt
|2 rdacontent
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|a computer
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|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
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| 505 |
8 |
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|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
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| 505 |
8 |
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|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
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| 505 |
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|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
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| 520 |
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|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 |
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|a Includes bibliographical references and index.
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| 650 |
|
0 |
|a Artificial intelligence.
|0 http://id.loc.gov/authorities/subjects/sh85008180
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| 650 |
|
2 |
|a Artificial Intelligence
|0 https://id.nlm.nih.gov/mesh/D001185
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| 650 |
|
6 |
|a Intelligence artificielle.
|
| 650 |
|
7 |
|a artificial intelligence.
|2 aat
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| 650 |
|
7 |
|a Artificial intelligence.
|2 fast
|0 (OCoLC)fst00817247
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