Mathematics in Science and Engineering: Markov Processes and Learning Models

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Subject Area
Analytic Chemistry, Applied Mathematics, Artificial Intelligence, Computational Physics, Economic Sociology, Education, Electrical Engineering, Engineering Management, Human Science, Mathematical Analysis, Mathematics, Mechanical Engineering, Natural Science, Neurobiology, Neuroscience, Parallel Data Processing, Process Engineering, Psychology, Quantum Physics, Science, Scientific Computing, Social Organisations, Social Professions, Social Psychology, Social Research, Supercomputing, System Biology, System Development, Technology & Engineering, Theoretical Physics
Publication Name
Markov Processes and Learning Models
Item Length
6in.
Publisher
Academic Press
Subject
Applied Psychology, Biostatistics, Calculus, Computer Engineering, Discrete Mathematics, Engineering (General), Engineering & Technology, Geometry, Geometry / Analytic, Geometry / Differential, Geometry / General, Learning Styles, Mathematical & Statistical Software, Mathematical Analysis, Mathematics, Mathematics / Algebra, Mathematics / General, Physics / Mathematical & Computational, Pre-Calculus, Probability & Statistics / General, Probability & Statistics / Multivariate Analysis, Probability & Statistics / Regression Analysis, Probability & Statistics / Stochastic Processes, Psychology, Software Development & Engineering / General, Software Development & Engineering / Quality Assurance & Testing, Software Development & Engineering / Systems Analysis & Design, Statistics, Teaching Methods & Materials / Mathematics
Publication Year
1972
Series
Mathematics in Science and Engineering Ser.
Type
Textbook
Format
Hardcover
Language
English
Item Height
9in.
Personalized
No
Educational Level
Adult & Further Education, High School, Vocational School
Author
M. Frank Norman
Features
Inscribed
Level
Advanced, Proficiency, Technical
Country/Region of Manufacture
United States
Item Width
1in.
Number of Pages
Xii, 274 Pages
ISBN
9780125214506
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