Practical AI for business leaders, product managers, and entrepreneurs
Alfred Essa
Bok · Engelsk · 2022
| Medvirkende | |
|---|---|
| Omfang | xvii, 221 sider : illustrasjoner
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| Opplysninger | 1. Preface -- Part I: Machine learning I -- 2. Simple linear regression -- concept -- 3. Simple linear regression -- theory -- 4. Simple linear regression -- practice -- 5. K-Nearest neighbors (KNN) -- comcept -- 6. K-Nearest neighbors (KNN) -- theory -- 7. K-Nearest neighbors (KNN) -- practice -- Part II: Model assessment -- 8. Model assessment -- bias-variance tradeoff -- 9. Model assessment -- regression -- 10. Model assessment -- classification -- Part III: Machine learning II -- 11. Multiple linear regression -- concept -- 12. Multiple linear regression -- theory -- 13. Multiple linear regression -- practice -- 14. Logistic regression -- concept -- 15. Logistic regression -- theory -- 16. Logistic regression -- practice -- 17. K-Means -- concept -- 18. K-Means -- theory -- 19. K-Means -- practice -- Part IV: Deep learning -- 20. Deep learning -- bird's eye view -- 21. Neurons -- 22. Neurons -- practice -- 23. Network architecture -- 24. Network architecture -- practice -- 25. Forward progpagation -- 26. Forward propagation -- practice -- 27. Loss function -- 28. Loss function -- practice -- 29. Backward propagation -- 30. Backward propagation -- practice -- 31. Deep learning -- practice.
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| Emner | |
| Dewey | |
| ISBN | 1501514644. - 9781501514647
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| ISBN(galt) | 9781501505843 (ePub ebook)
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