Learn IT - Books tags machine

Linux System Programming: Talking Directly to the Kernel and C Library

O'Reilly, 2007

This book is about writing software that makes the most effective use of the system you're running on -- code that interfaces directly with the kernel and core system libraries, including the shell, text editor, compiler, debugger, core utilities, and system daemons. The majority of both Unix and Linux code is still written at the system level, and...

How to Cheat at Configuring VmWare ESX Server

Syngress Publishing, 2007

This book will detail the default and custom installation of VMwares ESX server as well as basic and advanced virtual machine configurations. It will then walk the reader through post installation configurations including installation and configuration of VirtualCenter. From here, readers will learn to efficiently create and deploy virtual machine...

Programming Reactive Extensions and LINQ

Apress, 2011

Right now, we as programmers are at an impasse—a transition period between the well-understood world of imperative programming, and a world that is increasingly at odds with this model. In the ’80s, everything was simple: one machine, one thread, no network.

CPUs are now scaling horizontally, adding more and more...

Python Machine Learning Case Studies: Five Case Studies for the Data Scientist

Apress, 2017

Embrace machine learning approaches and Python to enable automatic rendering of rich insights and solve business problems. The book uses a hands-on case study-based approach to crack real-world applications to which machine learning concepts can be applied. These smarter machines will enable your business processes to achieve efficiencies on...

Using and Administering Linux: Volume 3: Zero to SysAdmin: Network Services

Apress, 2019

Manage complex systems with ease and equip yourself for a new career. This book builds upon the skills you learned in Volumes 1 and 2 of this course and it depends upon the virtual network and virtual machine you created there.

However, more experienced Linux users can begin with this volume and download an...

Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning

Springer, 2006

"Kernel Based Algorithms for Mining Huge Data Sets" is the first book treating the fields of supervised, semi-supervised and unsupervised machine learning collectively. The book presents both the theory and the algorithms for mining huge data sets by using support vector machines (SVMs) in an iterative way. It demonstrates how kernel...

Data Mining In Time Series Databases (Series in Machine Perception and Artificial Intelligence)

World Scientific Publishing, 2004

Traditional data mining methods are designed to deal with “static” databases, i.e. databases where the ordering of records (or other database objects) has nothing to do with the patterns of interest. Though the assumption of order irrelevance may be sufficiently accurate in some applications, there are certainly many other cases, where...

Natural Language Processing with Python

O'Reilly, 2009

This book offers a highly accessible introduction to Natural Language Processing, the field that underpins a variety of language technologies, ranging from predictive text and email filtering to automatic summarization and translation. With Natural Language Processing with Python, you'll learn how to write Python programs to work with large...

Programming Scala: Tackle Multi-Core Complexity on the Java Virtual Machine (Pragmatic Programmers)

Pragmatic Bookshelf, 2009

The increasing popularity and availability of multicore processors is creating a whole new set of challenges--although you can enjoy true concurrency, you're now faced with higher contention and synchronization issues. Deploying an existing application on a multicore processor may bring out previously hidden concurrency issues. Java's...

Decompiling Android

Apress, 2012

Decompiling Android looks at the the reason why Android apps can be decompiled to recover their source code, what it means to Android developers and how you can protect your code from prying eyes. This is also a good way to see how good and bad Android apps are constructed and how to learn from them in building your own apps.

...

A Practical Guide to Data Mining for Business and Industry

John Wiley & Sons, 2014

Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI. Practical Data Mining for Business presents a user-friendly approach to data mining methods, covering the typical uses to which it is applied. The methodology is complemented by case studies to create...

Python Interviews: Discussions with Python Experts

Packt Publishing, 2018

Mike Driscoll takes you on a journey talking to a hall-of-fame list of truly remarkable Python experts. You'll be inspired every time by their passion for the Python language, as they share with you their experiences, contributions, and careers in Python.

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