Titlebook: Business Analytics for Professionals; Alp Ustundag,Emre Cevikcan,Omer Faruk Beyca Book 2022 The Editor(s) (if applicable) and The Author(s

小巷

書目名稱Business Analytics for Professionals影響因子(影響力)




書目名稱Business Analytics for Professionals影響因子(影響力)學(xué)科排名




書目名稱Business Analytics for Professionals網(wǎng)絡(luò)公開度




書目名稱Business Analytics for Professionals網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Business Analytics for Professionals被引頻次




書目名稱Business Analytics for Professionals被引頻次學(xué)科排名




書目名稱Business Analytics for Professionals年度引用




書目名稱Business Analytics for Professionals年度引用學(xué)科排名




書目名稱Business Analytics for Professionals讀者反饋




書目名稱Business Analytics for Professionals讀者反饋學(xué)科排名

CLAMP

defenses

Business Analytics for Professionals978-3-030-93823-9Series ISSN 1860-5168 Series E-ISSN 2196-1735

妨礙

agnostic

Motivations for an Internalist Semantics,model complexity and establish simple, accurate and robust models. Feature engineering is the process of using domain knowledge to extract input variables from raw data, prioritize them and select the best ones so that machine learning algorithms work well and model performance is improved.

不如屎殼郎

Meaning of Taboos Using Counterfactual Logicelping companies reduce risk and make more efficient financial decisions. Machine learning and advanced analytics are used in several financial applications such as fraud detection and prevention?systems, credit risk modelling, financial statement analysis,?algorithmic trading, robo-advisory systems?etc.

MURKY

無可爭(zhēng)辯

Springer Series in Advanced Manufacturinghttp://image.papertrans.cn/b/image/192032.jpg

指令

https://doi.org/10.1007/978-1-4615-4769-3Predictive modeling can be defined as modeling the historical data using statistical and machine learning techniques to predict future observations. Prediction modeling tasks can be grouped into three categories: supervised learning, unsupervised learning and reinforcement learning.

BUCK