LEADER 04678nam 22006615 450 001 9910869161403321 005 20250807124759.0 010 $a9798868802799$b(electronic bk.) 010 $z9798868802782 024 7 $a10.1007/979-8-8688-0279-9 035 $a(MiAaPQ)EBC31509947 035 $a(Au-PeEL)EBL31509947 035 $a(CKB)32625645300041 035 $a(OCoLC)1443937147 035 $a(OCoLC-P)1443937147 035 $a(CaSebORM)9798868802799 035 $a(DE-He213)979-8-8688-0279-9 035 $a(EXLCZ)9932625645300041 100 $a20240701d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe Decision Maker's Handbook to Data Science $eAI and Data Science for Non-Technical Executives, Managers, and Founders /$fby Stylianos Kampakis 205 $a3rd ed. 2024. 210 1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2024. 215 $a1 online resource (189 pages) 300 $aDescription based upon print version of record. 311 08$aPrint version: Kampakis, Stylianos The Decision Maker's Handbook to Data Science Berkeley, CA : Apress L. P.,c2024 9798868802782 327 $aChapter 1: Demystifying Data Science, AI and All the Other Buzzwords -- Chapter 2: Data Management -- Chapter 3: Data Collection Problems -- Chapter 4: How to Keep Data Tidy -- Chapter 5: Thinking like a Data Scientist (Without Being One) -- Chapter 6: A Short Introduction to Statistics -- Chapter 7: A Short Introduction to Machine Learning -- Chapter 8: An introduction to AI -- Chapter 9: Problem Solving -- Chapter 10: Pitfalls -- Chapter 11: Hiring and Managing Data Scientists -- Chapter 12: Building a Data-Driven Culture -- Chapter 13: AI Ethics -- Chapter 14: The Future of AI and Data Science. Epilogue: Data Science Rules the World -- Appendix: Tools for Data Science. 330 $aData science is expanding across industries at a rapid pace, and the companies first to adopt best practices will gain a significant advantage. To reap the benefits, decision makers need to have a confident understanding of data science and its application in their organization. This third edition delves into the latest advancements in AI, particularly focusing on large language models (LLMs), with clear distinctions made between AI and traditional data science, including AI's ability to emulate human decision-making. Author Stylianos Kampakis introduces you to the critical aspect of ethics in AI, an area of growing importance and scrutiny. The narrative examines the ethical considerations intrinsic to the development and deployment of AI technologies, including bias, fairness, transparency, and accountability. You?ll be provided with the expertise and tools required to develop a solid data strategy that is continuously effective. Ethics and legal issuessurrounding data collection and algorithmic bias are some common pitfalls that Kampakis helps you avoid, while guiding you on the path to build a thriving data science culture at your organization. This updated edition also includes plenty of case studies, tools for project assessment, and expanded content for hiring and managing data scientists. Data science is a language that everyone at a modern company should understand across departments. Friction in communication arises most often when management does not connect with what a data scientist is doing or how impactful data collection and storage can be for their organization. The Decision Maker?s Handbook to Data Science bridges this gap and readies you for both the present and future of your workplace in this engaging, comprehensive guide. . 606 $aData structures (Computer science) 606 $aInformation theory 606 $aData mining 606 $aQuantitative research 606 $aBig data 606 $aData Structures and Information Theory 606 $aData Mining and Knowledge Discovery 606 $aData Analysis and Big Data 606 $aBig Data 615 0$aData structures (Computer science) 615 0$aInformation theory. 615 0$aData mining. 615 0$aQuantitative research. 615 0$aBig data. 615 14$aData Structures and Information Theory. 615 24$aData Mining and Knowledge Discovery. 615 24$aData Analysis and Big Data. 615 24$aBig Data. 676 $a005.7/3 700 $aKampakis$b Stylianos$0973114 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910869161403321 996 $aThe Decision Maker's Handbook to Data Science$92214004 997 $aUNINA