Controversial Books for m_bearach

This page shows the most "controversial" books in this library, as measured by the highest standard deviation of members' star ratings.

Standard Deviation Average Rating Your Rating Title
1.182 3.66 Programming Interviews Exposed: Secrets to Landing Your Next Job by John Mongan
1.148 3.28 AntiPatterns: Refactoring Software, Architectures, and Projects in Crisis by William J. Brown
1.09 3.88 Hacker's Delight by Henry S. Warren
0.999 4.1 Crucial Confrontations: Tools for Resolving Broken Promises, Violated Expectations, and Bad Behavior by Kerry Patterson
0.995 3.7 Applying UML and Patterns: An Introduction to Object-Oriented Analysis and Design and Iterative Development by Craig Larman
0.99 4 Handbook of Mathematical Functions: with Formulas, Graphs, and Mathematical Tables by Milton Abramowitz
0.985 4.14 TCP/IP Illustrated, Volume 2: The Implementation by Gary R. Wright
0.984 3.86 Introduction to Automata Theory, Languages, and Computation by John E. Hopcroft
0.978 3.36 Linear Algebra and Its Applications by David C. Lay
0.977 3.93 Regular Expression Pocket Reference by Tony Stubblebine
0.948 4.01 Introduction to the Theory of Computation by Michael Sipser
0.944 3.69 UML Distilled: A Brief Guide to the Standard Object Modeling Language by Martin Fowler
0.944 4.28 Java Concurrency in Practice by Brian Goetz
0.937 3.24 A Guide to the Project Management Body of Knowledge by Project Management Institute
0.933 3.55 Operating System Concepts by Abraham Silberschatz
0.92 3.58 Learning XML by Erik T. Ray
0.909 3.44 Beautiful Code: Leading Programmers Explain How They Think by Andy Oram
0.882 3.84 Extreme Programming Explained: Embrace Change by Kent Beck
0.879 3.74 Visualizing Data: Exploring and Explaining Data with the Processing Environment by Ben Fry
0.871 4.15 Artificial Intelligence: A Modern Approach by Stuart J. Russell
0.866 3.95 Test Driven Development: By Example by Kent Beck
0.855 4.31 Information Theory, Inference and Learning Algorithms by David J. C. MacKay
0.848 3.31 The Unified Modeling Language User Guide by Grady Booch
0.848 4.08 Computer Architecture: A Quantitative Approach by John L. Hennessy
0.845 4.26 Agile Principles, Patterns, and Practices in C# by Robert C. Martin
0.839 4.07 Compilers: Principles, Techniques, and Tools by Alfred V. Aho
0.808 4.1 Linux Kernel Development (2nd Edition) by Robert Love
0.775 4.29 Introduction to Algorithms by Thomas H. Cormen
0.773 4.3 Working Effectively with Legacy Code by Michael Feathers
0.718 4.12 Effective STL: 50 Specific Ways to Improve Your Use of the Standard Template Library by Scott Meyers
0.702 4.33 Distributed Systems: Principles and Paradigms by Andrew S. Tanenbaum
0.701 4.03 Operating Systems: Design and Implementation by Andrew S. Tanenbaum
0.672 4 Algorithms by Robert Sedgewick
0.666 4.32 Elements of Information Theory by Thomas M. Cover
0.622 4.54 UNIX Network Programming, Volume 2: Interprocess Communications (2nd Edition) by W. Richard Stevens
0.618 4.43 Microsoft Windows Internals (4th Edition): Microsoft Windows Server 2003, Windows XP, and Windows 2000 by Mark E. Russinovich
0.553 4.6 Advanced programming in the UNIX environment by W. Richard Stevens
0.52 3.81 An Introduction to Genetic Algorithms by Melanie Mitchell
0.467 4.4 Types and Programming Languages by Benjamin C. Pierce