I am a PhD student in Computer Science at UMass Boston and I do research in data mining. I am particularly interested in probabilistic solutions to problems in data mining, which is why I wanted to know about probability and statistics. I had the privilege of learning the subject matter from the aut
Introduction to probability with statistical applications
✍ Scribed by Geza Schay
- Publisher
- Birkhäuser
- Year
- 2007
- Tongue
- English
- Leaves
- 316
- Category
- Library
No coin nor oath required. For personal study only.
✦ Subjects
Математика;Вычислительная математика;
📜 SIMILAR VOLUMES
I am a PhD student in Computer Science at UMass Boston and I do research in data mining. I am particularly interested in probabilistic solutions to problems in data mining, which is why I wanted to know about probability and statistics. I had the privilege of learning the subject matter from the aut
I am a PhD student in Computer Science at UMass Boston and I do research in data mining. I am particularly interested in probabilistic solutions to problems in data mining, which is why I wanted to know about probability and statistics. I had the privilege of learning the subject matter from the aut
<P>This textbook is an introduction to probability and statistics for non-mathematics majors who do not need the exhaustive detail and mathematical depth provided in more comprehensive treatments of the subject. The presentation covers the mathematical laws of random phenomena, including discrete an
This textbook is an introduction to probability and statistics for non-mathematics majors who do not need the exhaustive detail and mathematical depth provided in more comprehensive treatments of the subject. The presentation covers the mathematical laws of random phenomena, including discrete and c
<p>Now in its second edition, this textbook serves as an introduction to probability and statistics for non-mathematics majors who do not need the exhaustive detail and mathematical depth provided in more comprehensive treatments of the subject. The presentation covers the mathematical laws of rando