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Show Notes
Applied Predictive Analytics (Dean Abbott)
- Amazon USA Store: https://www.amazon.com/dp/1118727967?tag=9natree-20
- Amazon Worldwide Store: https://global.buys.trade/Applied-Predictive-Analytics-Dean-Abbott.html
- Apple Books: https://books.apple.com/us/audiobook/real-time-data-and-analytics-building-fast-reliable/id1759128266?itsct=books_box_link&itscg=30200&ls=1&at=1001l3bAw&ct=9natree
- eBay: https://www.ebay.com/sch/i.html?_nkw=Applied+Predictive+Analytics+Dean+Abbott+&mkcid=1&mkrid=711-53200-19255-0&siteid=0&campid=5339060787&customid=9natree&toolid=10001&mkevt=1
- Read more: https://english.9natree.com/read/1118727967/
#businessproblemformulation #datapreparation #predictivemodelselection #modelvalidation #analyticsdeployment #AppliedPredictiveAnalytics
Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst is a practical professional guide by Dean Abbott, a data mining and predictive analytics practitioner. Published in 2014, it addresses the work required to turn large, imperfect collections of business data into models that support decisions. Rather than presenting algorithms as isolated technical subjects, the book is organized around the execution of an analytics project from problem definition through deployment and ongoing use. It explains both the scientific basis of predictive modeling and the judgment required when data, objectives, and operational constraints are unclear. Abbott aims primarily at data analysts and technically literate managers who need to understand how predictive work is planned, performed, evaluated, and communicated. Statistics can deepen a reader’s intuition, but the text is designed to be accessible without extensive formal statistical training. Hands-on examples, business-oriented case material, companion data sets, and software access reinforce its emphasis on applied learning rather than purely mathematical treatment.
- Amazon USA Store: https://www.amazon.com/dp/1118727967?tag=9natree-20
- Amazon Worldwide Store: https://global.buys.trade/Applied-Predictive-Analytics-Dean-Abbott.html
- Apple Books: https://books.apple.com/us/audiobook/real-time-data-and-analytics-building-fast-reliable/id1759128266?itsct=books_box_link&itscg=30200&ls=1&at=1001l3bAw&ct=9natree
- eBay: https://www.ebay.com/sch/i.html?_nkw=Applied+Predictive+Analytics+Dean+Abbott+&mkcid=1&mkrid=711-53200-19255-0&siteid=0&campid=5339060787&customid=9natree&toolid=10001&mkevt=1
- Read more: https://english.9natree.com/read/1118727967/
#businessproblemformulation #datapreparation #predictivemodelselection #modelvalidation #analyticsdeployment #AppliedPredictiveAnalytics
Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst is a practical professional guide by Dean Abbott, a data mining and predictive analytics practitioner. Published in 2014, it addresses the work required to turn large, imperfect collections of business data into models that support decisions. Rather than presenting algorithms as isolated technical subjects, the book is organized around the execution of an analytics project from problem definition through deployment and ongoing use. It explains both the scientific basis of predictive modeling and the judgment required when data, objectives, and operational constraints are unclear. Abbott aims primarily at data analysts and technically literate managers who need to understand how predictive work is planned, performed, evaluated, and communicated. Statistics can deepen a reader’s intuition, but the text is designed to be accessible without extensive formal statistical training. Hands-on examples, business-oriented case material, companion data sets, and software access reinforce its emphasis on applied learning rather than purely mathematical treatment.
