Top 628 nigel chapman PDF Book Page 20
Handbook of Natural Language Processing, Second Edition (Chapman & Hall CRC: Machine Learning & Pattern Recognition)
Nitin Indurkhya, Fred J. Damerau
·676 Pages
·2010
·12.449 MB
Computational Thinking for the Modern Problem Solver (Chapman and Hall CRC Textbooks in Computing)
David D. Riley
·398 Pages
·2013
·5.1 MB
Applied Survey Data Analysis (Chapman & Hall CRC Statistics in the Social and Behavioral Scie)
Steven G. Heeringa, Brady T. West, Patricia A. Berglund
·462 Pages
·2010
·3.834 MB
Exploring Children's Literature: Teaching the Language and Reading of Fiction (Paul Chapman Publishing Title)
Nikki Gamble, Sally Yates
·201 Pages
·2002
·1.187 MB
Extending Structures: Fundamentals and Applications (Chapman & Hall/CRC Monographs and Research Notes in Mathematics)
Ana Agore, Gigel Militaru
·243 Pages
·2019
·1.805 MB
Computational Biology: A Statistical Mechanics Perspective, Second Edition (Chapman & Hall/CRC Computational Biology Series)
Ralf Blossey
·301 Pages
·2019
·3.295 MB
Biological Sequence Analysis Using the SeqAn C++ Library (Chapman & Hall CRC Mathematical & Computational Biology)
Andreas Gogol-Doring, Knut Reinert
·305 Pages
·2009
·4.967 MB
Disruptive Trends in Computer Aided Diagnosis (Chapman & Hall/CRC Computational Intelligence and Its Applications)
Rik Das (editor), Sudarshan Nandy (editor), Siddhartha Bhattacharyya (editor)
·219 Pages
·2021
·17.558 MB
Supervised Machine Learning for Text Analysis in R (Chapman & Hall/CRC Data Science Series)
Emil Hvitfeldt, Julia Silge
·2021
·26.762 MB
Analysis of Categorical Data with R (Chapman and Hall CRC Texts in Statistical Science)
Christopher R. Bilder
·2012
·14 MB
Models for Multi-State Survival Data (Chapman and Hall CRC Texts in Statistical Science)
Per Kragh Andersen
·293 Pages
·2023
·12 MB
Speculative Execution in High Performance Computer Architectures (Chapman & Hall Crc Computer & Information Science Series)
David Kaeli, Pen-Chung Yew
·452 Pages
·2005
·4.93 MB
AI and Society: Tensions and Opportunities (Chapman & Hall/CRC Artificial Intelligence and Robotics Series)
Christo El Morr
·327 Pages
·2022
·7.615 MB
Exploratory Data Analysis with MATLAB, Second Edition (Chapman & Hall CRC Computer Science & Data Analysis)
Wendy L. Martinez, Angel Martinez, Jeffrey Solka
·499 Pages
·2010
·6.431 MB
Actuarial Loss Models: A Concise Introduction (Chapman and Hall CRC Series in Actuarial Science)
Guojun Gan
·232 Pages
·2024
·5.2 MB
Data Mining Using SAS Applications (Chapman & Hall CRC Data Mining and Knowledge Discovery Series)
George Fernandez
·361 Pages
·2002
·13.759 MB
Residuals and Influence in Regression (Chapman & Hall CRC Monographs on Statistics & Applied Probability 18)
R. Dennis Cook, Sanford Weisberg
·122 Pages
·1982
·7.493 MB
Performance Analysis of Queuing and Computer Networks (Chapman & Hall Crc Computer & Information Science Series)
G.R. Dattatreya
·472 Pages
·2008
·3.623 MB
Machine Learning for Factor Investing: Python Version (Chapman and Hall CRC Financial Mathematics Series)
Guillaume Coqueret
·2023
·37 MB
Quantitative Equity Portfolio Management: Modern Techniques and Applications (Chapman & Hall CRC Financial Mathematics Series)
Edward E. Qian, Ronald H. Hua, Eric H. Sorensen
·232 Pages
·2007
·37.066 MB
Python for Scientific Computing and Artificial Intelligence (Chapman and Hall CRC The Python Series)
Stephen Lynch
·334 Pages
·2023
·32 MB
Bayesian Networks: With Examples in R (Chapman and Hall CRC Texts in Statistical Science)
Marco Scutari
·2014
·22 MB
Faul, A: Concise Introduction to Machine Learning (Chapman & Hall/Crc Machine Learning & Pattern Recognition)
A. C. Faul
·335 Pages
·2019
·21.1 MB
