Learn IT - Books tags extreme

Books tags: extreme

Practical Convolutional Neural Networks: Implement advanced deep learning models using Python

Packt Publishing, 2018

One stop guide to implementing award-winning, and cutting-edge CNN architectures

Key Features

Fast-paced guide with use cases and real-world examples to get well versed with CNN techniques

Implement CNN models on image classification, transfer learning, Object Detection,...

Robustness and Complex Data Structures

Springer, 2013

Our journey towards this Festschrift started when realizing that our teacher, mentor, and friend Ursula Gather was going to celebrate her 60th birthday soon. As a researcher, lecturer, scientific advisor, board member, reviewer, editor, Ursula has had a wide impact...

Statistical Analysis of Financial Data in R (Springer Texts in Statistics)

Springer, 2013

Although there are many books on mathematical finance, few deal with the statistical aspects of modern data analysis as applied to financial problems. This textbook fills this gap by addressing some of the most challenging issues facing financial engineers. It shows how sophisticated mathematics and modern statistical techniques can...

An Introduction to Analysis of Financial Data with R

John Wiley & Sons, 2012

A complete set of statistical tools for beginning financial analysts from a leading authority

Written by one of the leading experts on the topic, An Introduction to Analysis of Financial Data with R explores basic concepts of visualization of financial data. Through a fundamental balance between theory and...

Learning Agile: Understanding Scrum, XP, Lean, and Kanban

O'Reilly, 2014

Learning Agile is a comprehensive guide to the most popular agile methods, written in a light and engaging style that makes it easy for you to learn.

Agile has revolutionized the way teams approach software development, but with dozens of agile methodologies to choose from, the decision to "go agile"...

Agile!: The Good, the Hype and the Ugly

Springer, 2014

Are you attracted by the promises of agile methods but put off by the fanaticism of many agile texts? Would you like to know which agile techniques work, which ones do not matter much, and which ones will harm your projects? Then you need Agile!: the first exhaustive, objective review of agile principles, techniques and tools.

...

Clean Code: A Handbook of Agile Software Craftsmanship (Robert C. Martin Series)

Prentice Hall, 2008

Even bad code can function. But if code isn’t clean, it can bring a development organization to its knees. Every year, countless hours and significant resources are lost because of poorly written code. But it doesn’t have to be that way.

Noted software expert Robert C. Martin presents a revolutionary paradigm with...

Refactoring to Patterns (The Addison-Wesley Signature Series)

Addison Wesley, 2004

In 1994, Design Patterns changed the landscape of object-oriented development by introducing classic solutions to recurring design problems. In 1999, Refactoring revolutionized design by introducing an effective process for improving code. With the highly anticipated Refactoring to Patterns, Joshua...

Deep Learning: Practical Neural Networks with Java

Packt Publishing, 2017

Build and run intelligent applications by leveraging key Java machine learning libraries

About This Book

Develop a sound strategy to solve predictive modelling problems using the most popular machine learning Java libraries.

Explore a broad variety of data processing, machine learning,...

Coping with Uncertainty: Modeling and Policy Issues

Springer, 2006

Uncertainties and risks have always been, and will remain, present; both in everybody’s life and in policy making. This presence is not always recognized because humans tend to perceive the world in a deterministic way, and in most cases succeed in somehow dealing with uncertainties. However, ignoring uncertainties often results in serious...

Operational Risk : Modeling Analytics

John Wiley & Sons, 2006

Discover how to optimize business strategies from both qualitative and quantitative points of view

Operational Risk: Modeling Analytics is organized around the principle that the analysis of operational risk consists, in part, of the collection of data and the building of mathematical models to describe risk. This book is...

Internet-based Control Systems: Design and Applications (Advances in Industrial Control)

Springer, 2011

The Internet plays a significant and growing role in real-time industrial manufacturing, scheduling and management. A considerable research effort has led to the development of new technologies that make it possible to use the Internet for supervision and control of industrial processes.

Internet-based Control Systems...

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