Learn IT - Books tags challenges

Cloud Computing: Web-Based Dynamic IT Services

Springer, 2011

Cloud computing is on everyone’s lips: as an innovative technology, as the next generation of the Internet, as a fundamental transformation of the entire IT landscape, and as an auspicious opportunity to introduce new business ideas. But what is actually at the heart of this notion?

As a result of the multi-faceted...

Investing Strategies for the High Net-Worth Investor: Maximize Returns on Taxable Portfolios

McGraw-Hill, 2009

A proven model for achieving high returns on taxable investments

Investing Strategies for the High Net-Worth Investor showcases an investing approach that helps readers understand the unique challenges and opportunities that wealthy families face when building a diversified portfolio for multiple generations. Renowned...

Optimization and Security Challenges in Smart Power Grids (Energy Systems)

Springer, 2013

This book provides an overview of state-of-the-art research on “Systems and Optimization Aspects of Smart Grid Challenges.” The authors have compiled and integrated different aspects of applied systems optimization research to smart grids, and also describe some of its critical challenges and requirements.

The promise...

Network Attacks and Exploitation: A Framework

John Wiley & Sons, 2015

Incorporate offense and defense for a more effective network security strategy

Network Attacks and Exploitation provides a clear, comprehensive roadmap for developing a complete offensive and defensive strategy to engage in or thwart hacking and computer espionage. Written by an expert in both government and corporate...

Docker for Data Science: Building Scalable and Extensible Data Infrastructure Around the Jupyter Notebook Server

Apress, 2017

Learn Docker "infrastructure as code" technology to define a system for performing standard but non-trivial data tasks on medium- to large-scale data sets, using Jupyter as the master controller.

It is not uncommon for a real-world data set to fail to be easily managed. The set may not fit well into access memory or...

Python for Graph and Network Analysis (Advanced Information and Knowledge Processing)

Springer, 2017

This research monograph provides the means to learn the theory and practice of graph and network analysis using the Python programming language. The social network analysis techniques, included, will help readers to efficiently analyze social data from Twitter, Facebook, LiveJournal, GitHub and many others at three levels of depth: ego,...

XSLT Cookbook

O'Reilly, 2002

The XSLT Cookbook is a collection of hundreds of solutions to problems that Extensible Stylesheet Language Transformations (XSLT) developers regularly face. The recipes range from simple string-manipulation and mathematical processing to more complex topics like extending XSLT, testing and debugging XSLT...

Advanced Photoshop CS3 Trickery & FX (Graphics Series)

Charles River, 2007

Advanced Photoshop CS3 Trickery & FX is a completely updated edition of this specialized book for Photoshop users wishing to go beyond the basics. It takes digital artists to the next level of creativity by teaching them how to blend their artistic talent seamlessly with the powerful tools of Photoshop CS3. The book is packed with full color...

Beginning ASP.NET 4.5 in C# (Beginning Apress)

Apress, 2012

ASP.NET is Microsoft’s platform for developing web applications. Using ASP.NET, you can create e-commerce shops, data-driven portal sites, and just about anything else you can find on the Internet. Best of all, you don’t need to paste together a jumble of HTML and script code in order to program the Web. Instead, you can...

Letterhead & Logo Design 8

Rockport Publishers, 2005

The latest edition in the best-selling annual Letterhead and Logo Design series, now in paperback, features the most innovative and exciting work from well-known design leaders, new design firms, and cutting-edge artists. From logos to business cards to labels and envelopes, the creative techniques and full-color images portrayed in this...

Introducing Data Science: Big Data, Machine Learning, and more, using Python tools

Manning Publications, 2016

Summary

Introducing Data Science teaches you how to accomplish the fundamental tasks that occupy data scientists. Using the Python language and common Python libraries, you'll experience firsthand the challenges of dealing with data at scale and gain a solid foundation in data science.

...

Machine Learning for Adaptive Many-Core Machines - A Practical Approach (Studies in Big Data)

Springer, 2014

The overwhelming data produced everyday and the increasing performance and cost requirements of applications are transversal to a wide range of activities in society, from science to industry. In particular, the magnitude and complexity of the tasks that Machine Learning (ML) algorithms have to solve are driving the need to devise...

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