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What’s in a fundamental definition: AI, ML, Data Science, Statistics, Analytics, and Econometrics?
By Dr. Dean G. “Gordy” Fairchild (CEO, Synergy Data Science), poe.com AI (Assistant) While there is some overlap among these terms, they represent often too-distinct fields and approaches. Here’s an overview of the differences among the terms “data science,” “artificial intelligence” (AI), analytics, statistics, “machine learning,” and econometrics. It should be noted that to some…
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12 Fundamental Ways Synergistic Data Science Models Can Help Your Business
Dr. Gordy Fairchild & Poe AI (assistant) Data science models in business are often employed to address a variety of business metrics and objectives. Synergistic data science beefs up the advantages below by using numerous methods to generate more powerful insights. Some common business metrics and objectives that data science models can target include: 1.…
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Data Science in a Big Data World: Analytics Life Cycle & BI-Chasm
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Sampling: New-School Approaches & Old-School Approaches
DRAFT UNDER LIVE CONSTRUCTION
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Are outliers bad news for data scientists? Should they be thrown out of modeling datasets or models themselves?
By Dr. Dean G. “Gordy” Fairchild (CEO, Synergy Data Science), poe.com AI (Assistant), poe.com Data-Scientist-GPT3, Univ of California Berkely Statistics Glossary, Data Camp Data Science Glossary The answer to both questions depends on old-school vs. new-school viewpoint as well as the context of the problem and what type of outlier is being described. One thing…
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Role Played in Science by Synergistic Data Science
By Dr. Dean G. “Gordy” Fairchild (CEO, Synergy Data Science), poe.com AI (Assistant) Synergistic data science plays a valuable role in scientific disciplines by aiding in the testing of hypotheses and the explanation of phenomena (OS). Synergistic data science helps science by creating answers to questions that the researcher did not ask—but should have (NS).…
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Business Importance of Synergistic Data Science
By Dr. Dean G. “Gordy” Fairchild (CEO, Synergy Data Science), poe.com AI (Assistant) Synergistic data science is important to businesses for several reasons: Business Results. Understanding that your data is an important asset that can produce enormous returns. Enhanced Decision-Making: By integrating diverse techniques and expertise, synergistic data science enables businesses to make more informed…
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Data Reliability and Validity, Redux
August 1 2023 By Dr. Bill Luker (Synergy Data Science) Here is a recent post, from the vast LinkedIn commentariat, that raises the often neglected issue of reliability and analytic validity (R&V) in survey data. Since survey data constitutes such a huge proportion of all data collected by business and academic research scientists, it’s important.…