“…If you are one such person--a data manager, clinical and/or statistical programmer, biostatistician, or even a clinician--then this book is for you…”

“…Discusses several years of in-depth industry research and presents vendor tools, approaches, and methodologies in discovery, visualization, and visual analytics Provides practicable and use case-based experience from advisory work with Fortune 100 and 500 companies across multiple verticals Presents the next-generation of visual discovery, data storytelling, and the Five Steps to Data Storytelling with Visualization Explains the Convergence of Visual Analytics and Visual discovery, including how to use tools such as R in statistical and analytic modeling Covers emerging technologies such as streaming visualization in the IOT (Internet of Things) and streaming animation…”

“…Clear and concise without sacrificing detail, this book helps readers to: Delineate the characteristics of different types of debt securities Calculate implied forward and spot rates and discount factors Work with rates of return, yield statistics, and interest rate swaps Understand duration-based risk measures, and more Memorizing formulas is one thing, but really learning how to mentally approach the math behind bonds is something else entirely. …”

“…Structured so as to facilitate comparison across countries, they offer not only brief statistical snapshots of regional performance, but also qualitative information on institutions and policy settings The OECD Regional Outlook 2011 provides an overview of the main developments in performance among OECD regions and the challenges for regional policy after the crisis. …”

“…The leading principle is that of least-squares adjustment together with its statistical properties. The inconsistent systems of equations can come in many different guises. …”

“…You are expected to have minimal knowledge of statistics/software programming and by the end of this book you should be able to work on a machine learning project with confidence. …”

“…In this second edition, the book has beensignificantly expanded to include: New chapters on Web site architecture, security,reliability, and their impact on performance Detailed discussion of scalability of Java onmulti-processor servers Perl scripts for writing web performance spidersthat handle logins, cookies, SSL, and more Detailed instructions on how to use Perl DBI andthe open source program gnuplot to generate performance graphs onthe fly Coverage of rstat, a Unix-based open source utilityfor gathering performance statistics remotely In addition, the book includes many more examples and graphs ofreal-world performance problems and their solutions, and has beenupdated for Java 2. …”

“…Microwave transhorizon systems-Design of beyond-the-horizon communication systems, properties of scattering and diffraction modes, multipath statistical relations, long-term and short-term field strength variations, quality of service, optimization of antenna alignment, and experimental analysis of various diversity and combining methods . …”

“…"A truly scientific approach to measuring and improving sales performanceScientific Selling shows how statistically-valid measurement can improve every element of the sales environment&emdash;from management to coaching to training to creating long-term sustainable sales results. …”

“…Coverage Includes: Achieving a faster, better hospital in five days--emergency department, door-to-balloon time, operating room, medical imaging, lab, nursing unit, clinical staff, pharmacy, order accuracy, diagnosis, ICU Lean for accelerated patient flow Reducing medical errors with Six Sigma Creating a more profitable hospital in five days by reducing denied, rejected, and appealed claims Six Sigma for hospitals Excel power tools for Lean Six Sigma Identifying improvement projects through data mining and analysis Sustaining improvement using control charts Laser-focused process innovation Statistical tools for Lean Six Sigma Implementing Lean Six Sigma…”

“…Providing excellent reference for students or professionals, Engineering Optimization : Describes and develops a variety of algorithms, including gradient based (such as Newton’s, and Levenberg-Marquardt), direct search (such as Hooke-Jeeves, Leapfrogging, and Particle Swarm), along with surrogate functions for surface characterization Provides guidance on optimizer choice by application, and explains how to determine appropriate optimizer parameter values Details current best practices for critical stages of specifying an optimization procedure, including decision variables, defining constraints, and relationship modeling Provides access to software and Visual Basic macros for Excel on the companion website, along with solutions to examples presented in the book Clear explanations, explicit equation derivations, and practical examples make this book ideal for use as part of a class or self-study, assuming a basic understanding of statistics, calculus, computer programming, and engineering models. …”

“…He has applied business intelligence, data mining, machine learning and statistical analysis in a variety of settings, including direct marketing, consumer and market research, targeted advertising, text mining, and financial engineering. …”

“…Understand what split tests are and when split tests are the most effective Explore alternative methods to use when split tests are not a viable option Learn how to use events, goals, and other data points to determine what to test Pick up the distinctions between A/B tests and multivariate tests See how split tests are set up using Google Optimize and other available tools Learn how to review the results of split tests in Google Optimize and Google Analytics Understand how long split tests should run and when they've hit a statistically significant conclusion Matthew Edgar is a partner at Colorado based Elementive, a consulting firm specializing in web analytics, CRO, UX, and technical SEO. …”

“…Angie holds a PhD in physics from London's University College, Gary Willis holds a PhD in statistical physics from London's Imperial College, and Alessandra Stagliano holds a PhD in computer science from the University of Genoa. …”

“…It is an approach to use statistical analysis and other informational engineering to data which has a geographical or geospatial aspect. …”

“…In clear and accessible terms, he exposes the weaknesses in the current system, examining how and why one of the world’s richest and most advanced countries has allowed its most vulnerable citizens to be victimized by the very system designed to help them.Armed with the latest statistics, a lifetime of experience, and heartrending life stories, Kelly argues that the patchwork of care traditionally employed to treat mental illness is simply not up to the task, and that what we need is profound, fundamental, and system-wide change. …”

“…Examining ancientand recent documentation on some thirty sites and using a statistical sériés method applied to Gallic and imported furnishings, Anne Colin défi nés five phases which she then compares to existing régional chronologies. …”

“…As you progress, you'll cover data analysis topics such as types of analysis, common techniques, hypothesis techniques, and statistical analysis, before tackling data reporting, common visualizations, and data governance. …”

“…There is a brand new chapter on spatially extended systems, and the statistical inference chapter has also been extended with new methods, including approximate Bayesian computation (ABC) Stochastic Modelling for Systems Biology, Third Edition is now supplemented by an additional software library, written in Scala, described in a new appendix to the book. …”

“…Prerequisites: Working knowledge of Python Data science experience a plus but not necessary Familiarity with NumPy a plus but not necessary Basics of machine learning a plus but not necessary An understanding of statistics and mathematics a plus but not necessary Familiarity with deep learning a plus but not necessary Recommended follow-up Learning TensorFlow (book) TensorFlow for Deep Learning (book) Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition (book) Designing Data-Intensive Applications (book) Fundamentals of Data Engineering (book)…”