Bayesian inference provides a simple and unified approach to data analysis, allowing experimenters to assign probabilities to competing hypotheses of interest, on the basis of the current state of knowledge. By incorporating relevant prior information, it can sometimes improve model parameter estimates by many orders of magnitude. This book...
"The book presents a welcome selection and careful exposition of material that can be (and is) covered in a single course...In this reviewer's opinion, this would be an interesting text to use with a group of advanced students well-grounded in undergraduate mathematics and computer science, and would produce a valuable course for the...
Unleash the power of Python for your data analysis projectswith For Dummies!
Python is the preferred programming language for data scientistsand combines the best features of Matlab, Mathematica, and R intolibraries specific to data analysis and visualization. Pythonfor Data Science For Dummies shows you how to...
Robotics, Second Edition is an essential addition to the toolbox of any engineer or hobbyist involved in the design of any type of robot or automated mechanical system. It is the only book available that takes the reader through a step-by step design process in this rapidly advancing specialty area of machine design. ...
This book carries forward recent work on visual patterns and structures in digital images and introduces a near set-based a topology of digital images. Visual patterns arise naturally in digital images viewed as sets of non-abstract points endowed with some form of proximity (nearness) relation. Proximity relations make it possible to...
"Destined to be a classic of modern computational science... a gourmet feast in ten courses." from the foreword by David H. Bailey, Lawrence Berkeley National Laboratory." The authors, members of teams that solved all 10 problems, show in detail multiple approaches for solving each problem,...
For more than 25 years, Mathematica has been the principal computation environment for millions of innovators, educators, students, and others around the world. This book is an introduction to Mathematica. The goal is to provide a hands-on experience introducing the breadth of Mathematica, with a focus on ease of use. Readers get detailed...
This book has been written as a beginner’s guide to computer performance analysis. For those who work in a predominantly IBM environment the typical job titles of those who would benefit from this book are Manager of Performance and Capacity Planning, Performance Specialist, Capacity Planner, or System Programmer. For Hewlett-Packard...
One of the most important tasks in finance is to find good mathematical models for financial products, in particular derivatives. However, the more realistic the model, the more practitioners face still-unsolved problems in rigorous mathematics and econometrics, in addition to serious numerical difficulties. The idea behind this book is to...
This second edition of the book Exploring Scanning Probe Microscopy with Mathematica is a revised and extended version of the first edition. It consists of a collection of self-contained, interactive, computational examples from the fields of scanning tunneling microscopy, scanning force microscopy, and related technologies, using Mathematica...
Take full advantage of all the powerful capabilities of Mathematica with help from this hands-on guide. Filled with examples and step-by-step explanations, Mathematica Demystified takes you from your very first calculation all the way to plotting complex fractals.
Make more of your data using Clojure and this brilliant cookbook full of real-world recipes. From creating revealing graphs to using data analysis libraries, you'll learn both the basics and advanced techniques.
Overview
Get a handle on the torrent of data the modern Internet has created
