Bücher zum Thema „Predictive programming“

author, Mayor Eric, und Forte Rui Miguel author, Hrsg. R: Predictive analysis : master the art of predictive modeling. Birmingham, UK: Packt Publishing, 2017.

Nitin, Indurkhya, und Zhang Tong 1971-, Hrsg. Fundamentals of predictive text mining. London: Springer-Verlag, 2010.

Learning data mining with Python: Harness the power of Python to analyze data and create insightful predictive models. Birmingham, UK: Packt Publishing, 2015.

C, Georgiadis Michael, Pistikopoulos Efstratios N und Dua Vivek, Hrsg. Multi-parametric model-based control: Theory and applications. Weinheim: Wiley-VCH, 2007.

Fahringer, Thomas. Automatic performance prediction of parallel programs. Boston: Kluwer Academic Publishers, 1996.

Hyslop, William F. Performance prediction of relational database management systems. Toronto: Computer Systems Research Institute, University of Toronto, 1991.

Fahringer, Thomas. Automatic Performance Prediction of Parallel Programs. Boston, MA: Springer US, 1996.

R, Horn J., und United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., Hrsg. Geometric programming prediction of design trends for OMV protective structures. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1990.

Rauscher, Harold M. The microcomputer scientific software series 4: Testing prediction accuracy. St. Paul, Minn: U.S. Dept. of Agriculture, Forest Service, North Central Forest Experiment Station, 1986.

Brown, Robert Goodell. Smoothing, forecasting and prediction of discrete time series. Mineola, NY: Dover Publications, 2004.

Paul, Bishop, und Educational Systems Associates, Hrsg. Adapted physical education: A comprehensive resource manual of definition, assessment, programming and future prediction. Kearney, NE: Educational Systems Associates, Inc., 1988.

United States. National Aeronautics and Space Administration., Hrsg. TBIEM3D: A computer program for predicting ducted fan engine noise. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.

D, Dang L., Coats E. E und George C. Marshall Space Flight Center., Hrsg. Engineering and programming manual: Two-dimensional kinetic reference computer program (TDK). Marshall Space Flight Center, Al: George C. Marshall Space Flight Center, 1985.

Kil, David H. Pattern recognition and prediction with applications to signal characterization. Woodbury, N.Y: AIP Press, 1996.

Bernd, Girod, Hrsg. Multi-frame motion-compensated prediction for video transmission. Boston: Kluwer Academic Publishers, 2001.

Matthew, O'Keefe, Kerr Christopher, United States. Dept. of Energy. Office of Biological and Environmental Research. und Goddard Space Flight Center, Hrsg. Second International Workshop on Software Engineering and Code Design in Parallel Meteorological and Oceanographic Applications: Proceedings of a workshop sponsored by the U.S. Department of Energy, Office of Biological and Environmental Research; the Department of Defense, High Performance Computing and Modernization Office; and the NASA Goddard Space Flight Center, Seasonal-to-Interannual Prediction Project, and held at the Camelback Inn, Scottsdale, Arizona, June 15-18, 1998. Greenbelt, Md: National Aeronautics and Space Administration, Goddard Space Flight Center, 1998.

Forte, Rui Miguel. Mastering Predictive Analytics with R. Packt Publishing, Limited, 2015.

Borrelli, Francesco, Alberto Bemporad und Manfred Morari. Predictive Control for Linear and Hybrid Systems. Cambridge University Press, 2017.

Predictive Control for Linear and Hybrid Systems. Cambridge University Press, 2017.

Borrelli, Francesco, Alberto Bemporad und Manfred Morari. Predictive Control for Linear and Hybrid Systems. Cambridge University Press, 2018.

Ammi, Ken. Transhuman Hollywood: From Normative Fiction to Predictive Programming. Independently Published, 2019.

Borrelli, Francesco, Alberto Bemporad und Manfred Morari. Predictive Control for Linear and Hybrid Systems. University of Cambridge ESOL Examinations, 2017.

Mayor, Eric. Learning Predictive Analytics with R. Packt Publishing, Limited, 2015.

Miller, James D., und Rui Miguel Forte. Mastering Predictive Analytics with R - Second Edition. Packt Publishing - ebooks Account, 2017.

Mayor, Eric. Learning Predictive Analytics with R: Get to Grips with Key Data Visualization and Predictive Analytic Skills Using R. Packt Publishing, Limited, 2015.

Learning Predictive Analytics with Python: Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python. Packt Publishing, 2016.

Kumar, Ashish. Learning Predictive Analytics with Python: Gain Practical Insights into Predictive Modelling by Implementing Predictive Analytics Algorithms on Public Datasets with Python. Packt Publishing, Limited, 2016.

Forte, Rui Miguel. Mastering Predictive Analytics with R: Master the Craft of Predictive Modeling by Developing Strategy, Intuition, and a Solid Foundation in Essential Concepts. Packt Publishing, Limited, 2015.

Milman, Ruth. Speedup for the quadratic programming problem and other issues in model predictive control. 2004.

Indurkhya, Nitin, Tong Zhang und Sholom M. Weiss. Fundamentals of Predictive Text Mining. Springer London, Limited, 2015.

Fundamentals of Predictive Text Mining. Springer, 2012.

Indurkhya, Nitin, Tong Zhang und Sholom M. Weiss. Fundamentals of Predictive Text Mining. Springer, 2015.

Indurkhya, Nitin, Tong Zhang und Sholom M. Weiss. Fundamentals of Predictive Text Mining. Springer, 2010.

Stikman, Gene. ZOMBIE LIFE : the Sleeping Woke: Attack on Freedom with Predictive Programming and Cultural Revolution. Independently Published, 2022.

Machine Learning with R: Expert Techniques for Predictive Modeling, 3rd Edition. Packt Publishing, Limited, 2019.

Python for Beginners: The Absolute Beginners Guide to Python Programming, Data Science and Predictive Model. a Practical Introduction to Object Oriented Programming Language. Independently Published, 2019.

Machine Learning with R: Expert techniques for predictive modeling to solve all your data analysis. 2. Aufl. Birmingham: Packt Publishing, 2015.

Machine Learning with R: Expert techniques for predictive modeling to solve all your data analysis problems, 2nd Edition. Packt Publishing, 2015.

Learning, Josh Hugh. Python for Beginners: A Step by Step Guide to Python Programming, Data Science, and Predictive Model. a Practical Introduction to Machine Learning with Python. Independently Published, 2019.

Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using Python. Apress, 2017.

Georgiadis, Michael C., Vivek Dua und Efstratios N. Pistikopoulos. Multi-Parametric Model-Based Control: Theory and Applications. Wiley & Sons, Limited, John, 2011.

Process Systems Engineering: Volume 2: Multi-Parametric Model-Based Control (Process Systems Engineering). Wiley-VCH, 2007.

Georgiadis, Michael C., Vivek Dua und Efstratios N. Pistikopoulos. Multi-Parametric Model-Based Control: Theory and Applications. Wiley & Sons, Incorporated, John, 2021.

Multi-parametric model-based control. Weinheim: Wiley-VCH, 2006.

John, Russel. Data Science : 2 Books in 1: Python Programming & Python for Data Science, the Ultimate Guide to Learn Machine Learning and Predictive Analytics from Scratch with Hands-On Projects. Independently Published, 2019.

Clement, Mark J. Analytical performance prediction of data-parallel programs. 1994.

Microcomputer software for predicting growth of Southern timber stands. New Orleans, La: U.S. Dept. of Agriculture, Forest Service, Southern Forest Experiment Station, 1992.

Mastering Machine Learning with R: Advanced prediction, algorithms, and learning methods with R 3.x, 2nd Edition. Packt Publishing, 2017.

Shin, Frances B., und David H. Kil. Pattern Recognition and Prediction with Applications to Signal Processing (Modern Acoustics and Signal Processing). American Institute of Physics, 1998.

Girod, Bernd, und Thomas Wiegand. Multi Frame Motion-Compensated Prediction for Video Transmission (The Springer International Series in Engineering and Computer Science). Springer, 2001.