Principles of Data Mining (Adaptive Computation and Machine Learning)

The growing interest in data mining is motivated by a common problem across disciplines: how does one store, access, model, and ultimately describe and understand very large data sets? Historically, different aspects of data mining have been addressed independently by different disciplines. This is the first truly interdisciplinary text on data mining, blending the contributions of information …

Database Internals: A Deep Dive into How Distributed Data Systems Work

When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it?s often difficult to understand what each one offers and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals. Throughout the b…

Computer Security Fundamentals (Pearson IT Cybersecurity Curriculum (ITCC))

Clearly explains core concepts, terminology, challenges, technologies, and skills Covers today?s latest attacks and countermeasures The perfect beginner?s guide for anyone interested in a computer security career Dr. Chuck Easttom brings together complete coverage of all basic concepts, terminology, and issues, along with all the skills you need to get started. Drawing on 30 years o…

An Introduction to Statistical Learning: with Applications in Python (Springe…

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with releva…

Probability and Statistics for Computer Scientists

Comprehensive and thorough development of both probability and statistics for serious computer scientists; goal-oriented: "to present the mathematical analysis underlying probability results" Special emphases on simulation and discrete decision theory Mathematically-rich, but self-contained text, at a gentle pace Review of calculus and linear algebra in an appendix Mathematical interludes (…

Compiler Construction: Principles and Practice 1st Edition

Edition

1st

ISBN/ISSN

1.40E+14

Collation

582

Series Title

-

Call Number

5.453

Discrete mathematics with applications

Susanna Epp's DISCRETE MATHEMATICS WITH APPLICATIONS, FOURTH EDITION provides a clear introduction to discrete mathematics. Renowned for her lucid, accessible prose, Epp explains complex, abstract concepts with clarity and precision. This book presents not only the major themes of discrete mathematics, but also the reasoning that underlies mathematical thought. Students develop the ability to t…

Discrete mathematics with applications

Susanna Epp's DISCRETE MATHEMATICS WITH APPLICATIONS, FOURTH EDITION provides a clear introduction to discrete mathematics. Renowned for her lucid, accessible prose, Epp explains complex, abstract concepts with clarity and precision. This book presents not only the major themes of discrete mathematics, but also the reasoning that underlies mathematical thought. Students develop the ability to t…

Theory of automata, formal languages and computation

This book deals with a fascinating and important subject which has the fundamentals of computer hardware, software and some of their applications. This book is intended as an introductory graduate text in computer science theory. I have taken care to present the material very clearly and interestingly. As an introductory subject to computer science, this book has been written with major st…

Hands-On Exploratory Data Analysis with Python: Perform EDA techniques to und…

Discover techniques to summarize the characteristics of your data using PyPlot; NumPy; SciPy; and pandas Key Features: - Understand the fundamental concepts of exploratory data analysis using Python - Find missing values in your data and identify the correlation between different variables - Practice graphical exploratory analysis techniques using Matplotlib and the Seaborn Python p…