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Michael Clark is a senior machine learning scientist for OneSix, and in prior stints, was a data science consultant at the University of Michigan and Notre Dame. His models have been used in production across a variety of industries, and can be seen in dozens of publications across several academic disciplines. He has a passion for helping people of all skill levels learn difficult stuff.
Seth Berry is the Academic Co-Director of the Master of Science in Business Analytics (MSBA) Residential Program, and Associate Teaching Professor at the University of Notre Dame for the IT, Analytics, and Operations Department. He has a PhD in Applied Experimental Psychology, and has been teaching and consulting in data science for over a decade.
1.Introduction
2.Thinking About Models
[...] Foundation
4.Understanding the Model
5.Understanding the Features
[...] Estimation and Optimization
7.Estimating Uncertainty
8.Generalized Linear Models
9.Extending the Linear Model
[...] Concepts in Machine Learning
[...] Models in Machine Learning
12.Extending Machine Learning
13.Causal Modeling
14.Dealing with Data
15.Danger Zone
16.Parting Thoughts
| Erscheinungsjahr: | 2025 |
|---|---|
| Fachbereich: | Wahrscheinlichkeitstheorie |
| Genre: | Importe, Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| Inhalt: | Einband - fest (Hardcover) |
| ISBN-13: | 9781032582580 |
| ISBN-10: | 1032582588 |
| Sprache: | Englisch |
| Einband: | Gebunden |
| Autor: |
Clark, Michael
Berry, Seth |
| Hersteller: | Chapman and Hall/CRC |
| Verantwortliche Person für die EU: | Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
| Maße: | 240 x 161 x 31 mm |
| Von/Mit: | Michael Clark (u. a.) |
| Erscheinungsdatum: | 15.08.2025 |
| Gewicht: | 0,898 kg |
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