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Designing with Data
On the surface, design practices and data science may not seem like obvious partners. But these disciplines actually work toward the same goal, helping designers and product managers understand users so they can craft elegant digital experiences. While data can enhance design, design can bring deeper meaning to data. This practical guide shows you how to conduct data-driven A/B testing for making design decisions on everything from small tweaks to large-scale UX concepts. Complete with real-world examples, this book shows you how to make data-driven design part of your product design workflow. Understand the relationship between data, business, and design Get a firm grounding in data, data types, and components of A/B testing Use an experimentation framework to define opportunities, formulate hypotheses, and test different options Create hypotheses that connect to key metrics and business goals Design proposed solutions for hypotheses that are most promising Interpret the results of an A/B test and determine your next move
New York Court of Appeals. Records and Briefs.
Volume contains: 54 NY 595 (Colt v. Phenix Ins. Co.) 54 NY 586 (Park v. Morris Axe & Tool Co.) 54 NY 522 (White v. Smith) 54 NY 569 (Williams v. Firemen's Fund Ins. Co.) 54 NY 577 (Willaims v. Mech. & Trad. F. Ins. Co.) 54 NY 581 (Claflin v. Ostrom) 54 NY 685 (Kellogg v. Murphy) 54 NY 685 (Tuttle v. Hannegan) 54 NY 687 (Gavit v. Edmonds) 57 NY 1 (Steers v. Liverpool N.Y. & P. S.S. Co.) 57 NY 7 (Durand v. Curtis) 57 NY 16 (Dounce v. Dow) 57 NY 633 (Johnston v. Bush) 57 NY 634 (Burnett v. Wadsworth) 57 NY 635 (Woodard v. Dennison) 57 NY 636 (Crane v. Travis)
Behavioral Data Analysis with R and Python
Harness the full power of the behavioral data in your company by learning tools specifically designed for behavioral data analysis. Common data science algorithms and predictive analytics tools treat customer behavioral data, such as clicks on a website or purchases in a supermarket, the same as any other data. Instead, this practical guide introduces powerful methods specifically tailored for behavioral data analysis. Advanced experimental design helps you get the most out of your A/B tests, while causal diagrams allow you to tease out the causes of behaviors even when you can't run experiments. Written in an accessible style for data scientists, business analysts, and behavioral scientists, thispractical book provides complete examples and exercises in R and Python to help you gain more insight from your data--immediately. Understand the specifics of behavioral data Explore the differences between measurement and prediction Learn how to clean and prepare behavioral data Design and analyze experiments to drive optimal business decisions Use behavioral data to understand and measure cause and effect Segment customers in a transparent and insightful way
Experiment!
Testing is a surefire way to dramatically improve your website’s conversion rate and increase revenue. When you run experiments with changes to design or content, you’ll quickly discover which changes better motivate your users to take action. This book shows how to learn from your customers’ behavior and decisions, and how their responses reveal the strengths and weaknesses of your site. It will show you how to make websites that work harder and convert better. Experiment! will inspire you to challenge assumptions and start experimenting right now. You will: Learn how to approach experiments to improve conversion Understand the various methods of testing including A/B and multivariate Discover experiment ideas, and go beyond optimization to innovation Recognize the UX and design implications of experimenting Learn to analyze data and deliver results Experimenting changes the way you think about design and the way you work. It helps prevent the loudest voice from deciding direction; instead, through an experiment, you’ll ask the most important voices--your customers--“What do you think?”
Gold Fish
John Austin, known as Auty, is not an impulsive man. But even so, he decides to abandon a successful and lucrative law practice thats won him notoriety and a reputation for integrity. When a big case is on the line, Auty is the suit you want in your corner. And he owes it all to his friend, mentor, and senior partner of his law firm, Ed Fielding. So Auty doesnt think twice about taking a plane from Wisconsin to Florida to break the news to the old man in person. He hopes to find some time to relax in the sun, but there will be no downtime on this trip. What terrible secret has Ed Fielding been keeping from Auty all these years? Why is Auty giving up a six million dollar inheritance? Why is he risking his life for a gorgeous flight attendant and a teenage college student he barely knows? And why are there suddenly people trying to kill him? Join Auty as he pursues his dreams, tries to save his friends, and uncovers mysteries in Gold Fish.
Salisbury
It is an evening in the summer of 1862 and James Reed crouches near a stream named Bull Run. Many have died this day and more will die when the sun rises. Unlike others close to him, he survives to be whisked by train through small towns with cheering crowds Buffalo-bound where a hero's welcome awaits. In spite of finding Ellen, the girl who has loved him since childhood, the loneliness of caring for his dying mother, living with a stern, cold father, and companionship of derelict friends cast aside by the town's social structure, Reed, absent of purpose and adrift in an alien world, re-enlists. More battles and Reed's capture during the siege of Petersburg lead to a journey into a hell unimagined in the age of duty and glory. James is imprisoned at Libby in Richmond and transferred to the death camp of Salisbury, North Carolina. Salisbury is a story of survival over fear, sickness, starvation, and brutality at the hands of hateful guards and psychotic inmates. All of Reed's comrades will perish to be buried in mass graves where over 11,000 lie today in a national cemetery. Will Reed survive and the struggle ultimately have any meaning?
Writers Directory
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Trustworthy Online Controlled Experiments
This practical guide for students, researchers and practitioners offers real world guidance for data-driven decision making and innovation.
BlackRock's Guide to Fixed-Income Risk Management
An irreplaceable roadmap to modern risk management from renowned experts on the subject Edited by a co-founder and the former Chief Risk Officer of BlackRock—the world’s largest asset manager—BlackRock’s Guide to Fixed-Income Risk Management delivers an insightful blueprint to the implementation of a comprehensive investment risk management framework for buy-side firms. Leveraging the unprecedented academic and professional experience of current and former senior leaders in BlackRock’s risk and portfolio management functions, as well as trading, financial modeling, and analytics experts, the book serves a practitioner’s guide to investment risk management, leveraging BlackRock’...
