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This book introduces readers to the Bayesian approach to science: teasing out the link between probability and knowledge. The author strives to make this book accessible to a very broad audience, suitable for professionals, students, and academics, as well as the enthusiastic amateur scientist/mathematician.
.
This book introduces readers to the Bayesian approach to science: teasing out the link between probability and knowledge. The author strives to make this book accessible to a very broad audience, suitable for professionals, students, and academics, as well as the enthusiastic amateur scientist/mathematician.
.
Lê Nguyên graduated from the École Polytechnique de Montréal with a PhD in applied mathematics, before working as a post-doctoral researcher at MIT. Since 2016, he has been working as a science communicator at EPFL. He also has his own YouTube channel Science4All (in French), with over 170k subscribers.
Sction I. Pure Bayesianism. 1. On A Transformative Journey. 2. Bayes Theorem. 3. Logically Speaking... 4. Let's Generalize! 5. All Hail Prejudices. 6. The Bayesian Prophets. 7. Solomonoff's Demon. Section II. Applied Bayesianism. 8. Can You Keep A Secret? 9. Game, Set and Math. 10. Will Darwin Select Bayes? 11. Exponentially Counter-Intuitive. 12. Ockham Cuts to the Chase. 13. Facts Are Misleading. Section III. Pragmatic Bayesianism. 14. Quick And Not Too Dirty. 15. Wish Me Luck. 16. Down Memory Lane. 17. Let's Sleep On It. 18. The Unreasonable Effectiveness of Abstraction. 19. The Bayesian Brain. Section IV. Beyond Bayesianism. 20. It's All Fiction. 21. Exploring The Origins Of Beliefs. 22. Beyond Bayesianism.
| Erscheinungsjahr: | 2020 |
|---|---|
| Fachbereich: | Grundlagen |
| Genre: | Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| Inhalt: | Einband - fest (Hardcover) |
| ISBN-13: | 9780367428150 |
| ISBN-10: | 0367428156 |
| Sprache: | Englisch |
| Einband: | Gebunden |
| Autor: | Hoang, Le Nguyen |
| Hersteller: | Taylor & Francis Ltd |
| Maße: | 165 x 241 x 35 mm |
| Von/Mit: | Le Nguyen Hoang |
| Erscheinungsdatum: | 19.06.2020 |
| Gewicht: | 0,834 kg |
Lê Nguyên graduated from the École Polytechnique de Montréal with a PhD in applied mathematics, before working as a post-doctoral researcher at MIT. Since 2016, he has been working as a science communicator at EPFL. He also has his own YouTube channel Science4All (in French), with over 170k subscribers.
Sction I. Pure Bayesianism. 1. On A Transformative Journey. 2. Bayes Theorem. 3. Logically Speaking... 4. Let's Generalize! 5. All Hail Prejudices. 6. The Bayesian Prophets. 7. Solomonoff's Demon. Section II. Applied Bayesianism. 8. Can You Keep A Secret? 9. Game, Set and Math. 10. Will Darwin Select Bayes? 11. Exponentially Counter-Intuitive. 12. Ockham Cuts to the Chase. 13. Facts Are Misleading. Section III. Pragmatic Bayesianism. 14. Quick And Not Too Dirty. 15. Wish Me Luck. 16. Down Memory Lane. 17. Let's Sleep On It. 18. The Unreasonable Effectiveness of Abstraction. 19. The Bayesian Brain. Section IV. Beyond Bayesianism. 20. It's All Fiction. 21. Exploring The Origins Of Beliefs. 22. Beyond Bayesianism.
| Erscheinungsjahr: | 2020 |
|---|---|
| Fachbereich: | Grundlagen |
| Genre: | Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| Inhalt: | Einband - fest (Hardcover) |
| ISBN-13: | 9780367428150 |
| ISBN-10: | 0367428156 |
| Sprache: | Englisch |
| Einband: | Gebunden |
| Autor: | Hoang, Le Nguyen |
| Hersteller: | Taylor & Francis Ltd |
| Maße: | 165 x 241 x 35 mm |
| Von/Mit: | Le Nguyen Hoang |
| Erscheinungsdatum: | 19.06.2020 |
| Gewicht: | 0,834 kg |
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