Knowledge
Evaluation Metric Appropriateness
Selection of performance metrics aligned with the business objective, task type, class importance, and cost structure (e.g., under class imbalance).
Taught in these guides
Grounded in
Books cited by the guides that teach this. The ones cited by more than one are where the field agrees.
- An Introduction to Statistical Learning: with Applications in R · Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani2 guides
- Analytics at Work: Smarter Decisions, Better Results · Thomas H. Davenport, Jeanne G. Harris, Robert Morison2 guides
- Big Data_ A Very Short Introduction (Very Short Introductions)2 guides
- Big Data: A Revolution That Will Transform How We Live, Work, and Think · Viktor Mayer-Schönberger, Kenneth Cukier2 guides
- Business Intelligence and Big Data · Celina Olszak2 guides
- Business Intelligence Guidebook: From Data Integration to Analytics · Rick Sherman2 guides
- Competing on Analytics: The New Science of Winning · Thomas H. Davenport, Jeanne G. Harris2 guides
- Data Mining for Business Analytics: Concepts, Techniques, and Applications · Galit Shmueli, Peter C. Bruce, Inbal Yahav, Nitin R. Patel, Kenneth C. Lichtendahl Jr.2 guides
- Data Science Bookcamp_ Ten case studies MEAP V012 guides
- Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking · Foster Provost, Tom Fawcett2 guides
- Data Science from Scratch: First Principles with Python · Joel Grus2 guides
- Data Smart: Using Data Science to Transform Information into Insight · John W. Foreman2 guides
- Data Warehouse and Data Mining · Jugnesh Kumar2 guides
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow · Aurélien Géron2 guides
- Introduction to Statistical and Machine Learning Methods for Data Science · Dr. Carlos Andre Reis Andre Reis Pinheiro etc.2 guides
- Learning from Data: A Short Course · Yaser S. Abu-Mostafa, Malik Magdon-Ismail, Hsuan-Tien Lin2 guides
- Machine Learning and Data Science2 guides
- Practical Statistics for Data Scientists · Peter Bruce2 guides
- Python for Data Analysis · Wes McKinney2 guides
- R for Data Science · Hadley Wickham2 guides
- Successful Business Intelligence: Unlock the Value of BI & Big Data · Cindi Howson2 guides
- The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling · Ralph Kimball, Margy Ross2 guides
- 80 Fundamental Models for Business Analysts Descriptive, Predictive, and Prescriptive Analytics Models with Ready-to-Use Excel… · Alberto Scappini
- A Practical Guide To Conjoint Analysis
and 69 more
What this produces
Outcomes the same guides attribute to it. These are consequences, not things to practise.
- Analytical & Knowledge Discovery Capability
- Analytical Maturity Stage
- Analytical Talent & Workforce Capability
- Analytical, Fact-Based Culture
- BI Adoption, Trust & Use
- BI/Big-Data Technology Investment & Capability
- Business Value, Performance & Competitive Advantage
- Business-IT Partnership & Alignment