This is the Python version of our book. See the website for links to the C++ and Java version. Have …
Some copies of this book have a printing error that causes the figures to be unreadable. If you have received …
A hands-on, easy-to-comprehend guide that is perfect for anyone who needs to understand algorithms.With the explosive growth in the amount …
Apache Spark's speed, ease of use, sophisticated analytics, and multilanguage support makes practical knowledge of this cluster-computing framework a required …
The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active …
Algorithms are the heart and soul of computer science. Their applications range from network routing and computational genomics to public-key …
A hands-on, problem-based introduction to building algorithms and data structures to solve problems with a computer.Programming is about using a …
A walkthrough of computer science concepts you must know. Designed for readers who dont care for academic formalities, its a …
Release 3rd EditionAugust 2012by Peter Wentworth, Jeffrey Elkner, Allen B. Downey, and Chris MeyersThis book owes its existence to the …
While many think of algorithms as specific to computer science, at its core algorithmic thinking is defined by the use …
The sample chapter should give you a very good idea of the quality and style of our book. In particular, …
This book emphasizes the creative aspects of algorithm design by examining steps used in the process of algorithms development. The …
This text is based on a simple and fully reactive computational model that allows for intuitive comprehension and logical designs. …
This text for students and professionals in computer science provides a valuable overview of current knowledge concerning parallel algorithms. These …
Combinatorial problems have been from the very beginning part of the history of mathematics. By the Sixties, the main classes …
Randomness is a powerful phenomenon that can be harnessed to solve various problems in all areas of computer science. Randomized …
Based on a new classification of algorithm design techniques and a clear delineation of analysis methods, Introduction to the Design …
This book is intended to be used as a textbook for graduate students studying theoretical computer science. It can also …
A fascinating exploration of how insights from computer algorithms can be applied to our everyday lives, helping to solve common …
Explore powerful R packages to create predictive models using ensemble methodsKey FeaturesImplement machine learning algorithms to build ensemble-efficient modelsExplore powerful …
Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today's most popular …
Algorithms provide the basic foundation for all computational processes. This volume presents algorithms at the foundational level and also at …
Key FeaturesHarness the power of R for statistical computing and data scienceExplore, forecast, and classify data with RUse R to …
Explore over 110 recipes to analyze data and build predictive models with the simple and easy-to-use R code About This …
Center for Social Research Univercity of Notre Dame, 2013. – 42 p. – ISBN: N/AThe purpose of this document is …
