Cambridge UP, Fachbücher, Data Science In Context (Englisch, Alfred Z. (Massachusetts Institute of Technology), Norvig S...
47,48 €
Introduction Part I. Data Science: 1. Foundations of data science 2. Data science is transdisciplinary 3. A framework for ethical considerations Recap of Part I ¿ Data Science Part II. Applying Data Science: 4. Data science applications: six examples 5. The analysis rubric 6. Applying the analysis rubric 7. A principlist approach to ethical considerations Recap of Part II ¿ Transitioning from Examples and Learnings to Challenges Part III. Challenges in Applying Data Science: 8. Tractable data 9. Building and deploying models 10. Dependability 11. Understandability 12. Setting the right objectives 13. Toleration of failures 14. Ethical, legal, and societal challenges Recap of Part III ¿ Challenges in Applying Data Science Part IV. Addressing Concerns: 15. Societal concerns 16. Education and intelligent discourse 17. Regulation 18. Research and development 19. Quality and ethical governance Recap of Part IV ¿ Addressing Concerns: 20. Concluding thoughts Appendix. Summary of recommendations from Part IV About the authors References Index.
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