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100   $a20210602d2021      uy             0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aImplementing ai systems $etransform your business in 6 steps /$fTom Taulli
205   $a1st ed. 2021.
210  1$aNew York, New York :$cApress L. P.,$d[2021]
210  4$d©2021
215   $a1 online resource (XI, 196 p. 17 illus., 14 illus. in color.)
300   $aIncludes index.
311   $a1-4842-6384-7 
327   $aChapter 1: AI Landscape -- Chapter 2: AI Foundations -- Chapter 3: Identify the Problem to be Solved -- Chapter 4: The Team -- Chapter 5: Data Preparation -- Chapter 6: Creating the Model -- Chapter 7: Deployment and Monitoring -- Chapter 8: Responsible AI -- Chapter 9: The Future of AI -- Glossary.
330   $aAI is one of the fastest growing corners of the tech world. But there remains one big problem: many AI projects fail. The fact is that AI is unique among IT projects. The technology requires a different mindset, in terms of understanding probabilities, data structures and complex algorithms. There is also a need to deal with complex issues like ethics and privacy. This is where Implementing AI Systems comes in. You'll learn the step-by-step process for successful implementations of AI, backed up with numerous case studies from top companies. This book puts everything you need to know into one place ? that is, it?s the handbook you need for AI. You?ll focus primarily on understanding the core concepts for AI like NLP, Machine Learning, Deep Learning and so on. This book will help you find the right areas to apply AI. You will: Put together an effective data strategy Create models and how to successfully test them Evaluate AI tools Assemble the right team Scale AI across an organization.
606   $aArtificial intelligence
615  0$aArtificial intelligence.
676   $a060
700   $aTaulli$b Tom$0541980
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bUtOrBLW
906   $aBOOK
912   $a9910484064103321
996   $aImplementing ai systems$92848050
997   $aUNINA