• The first and only book that truly explores NumPy practically
• Perform high performance calculations with clean and efficient NumPy code
• Analyze large data sets...

Hilbert space frames have long served as a valuable tool for signal and image processing due to their resilience to additive noise, quantization, and erasures, as well as their ability to capture valuable signal characteristics.  More recently, finite frame theory has grown into an important research topic in its own right, with a myriad...

The IBM Style Guide distills IBM wisdom for developing superior content: information that is consistent, clear, concise, and easy to translate. The IBM Style Guide can help any organization improve and standardize content across authors, delivery mechanisms, and geographic locations.

This expert guide contains...

• Understand the principles of Bayesian Inference with less mathematical equations
• Learn state-of-the art Machine Learning methods
• Familiarize...

As the Big Data explosion continues at an almost incomprehensible rate, being able to understand and process it becomes even more challenging. With Building Machine Learning Systems with Python, you'll learn everything you need to tackle the modern data deluge - by harnessing the unique capabilities of Python and its extensive range of...

I can't begin to tell you how many pleasurable...

• Enhance code performance by using appropriate Clojure features
• Improve the efficiency of applications and plan their deployment
• A hands-on guide to designing Clojure programs to get...

Introduction to Computational Models with Python explains how to implement computational models using the flexible and easy-to-use Python programming language. The book uses the Python programming language interpreter and several packages from the huge Python Library that improve the performance of numerical computing, such...

Derivatives Analytics with Python shows you how toimplement market-consistent valuation and hedging approaches usingadvanced financial models, efficient numerical techniques, and thepowerful capabilities of the Python programming language. Thisunique...

Implementing Models of Financial Derivatives is a comprehensivetreatment of advanced implementation techniques in VBA for modelsof financial derivatives. Aimed at readers who are already familiarwith the basics of VBA it emphasizes a fully object orientedapproach to valuation applications, chiefly in the context of MonteCarlo simulation but...

Problem Solving and Data Analysis using Minitab presents example-based learning to aid readers in understanding how to use MINITAB 16 for statistical analysis and problem solving. Each example and exercise is broken down into the exact steps that must be followed in...