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Brand: O'reilly Media, Incorporated
EAN: 9781492039686
MPN: 9781492039686
Categoría: Libros y revistas

Libro: Programming Quantum Computers: Essential Algorithms and Code Samples (978-1-4920-3968-6) de Eric R. Johnston; Nic Harrigan; Mercedes Gimeno-Segovia (O'Reilly Media, Incorporated ) Comprar Libros de Otros .. Quantum computers are poised to kick-start a new computing revolution--and you can join in right away. If you're in software engineering, computer graphics, data science, or just an intrigued computerphile, this book provides a hands-on programmer's guide to understanding quantum computing. Rather than labor through math and theory, you'll work directly with examples that demonstrate this technology's unique capabilities. Quantum computing specialists Eric Johnston, Nic Harrigan, and Mercedes Gimeno-Segovia show you how to build the skills, tools, and intuition required to write quantum programs at the center of applications. You'll understand what quantum computers can do and learn how to identify the types of problems they can solve. This book includes three multichapter sections: Programming for a QPU --Explore core concepts for programming quantum processing units, including how to describe and manipulate qubits and how to perform quantum teleportation. QPU Primitives --Learn algorithmic primitives and techniques, including amplitude amplification, the Quantum Fourier Transform, and phase estimation. QPU Applications --Investigate how QPU primitives are used to build existing applications, including quantum search techniques and Shor's factoring algorithm. 0
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Brand: O'reilly Media, Incorporated
EAN: 9781098140250
MPN: 9781098140250
Categoría: Libros y revistas

Libro: Causal Inference in Python: Applying Causal Inference in the Tech Industry (978-1-09-814025-0) de Matheus Facure (O'Reilly Media, Incorporated ) Comprar Libros de Otros .. How many buyers will an additional dollar of online marketing bring in? Which customers will only buy when given a discount coupon? How do you establish an optimal pricing strategy? The best way to determine how the levers at our disposal affect the business metrics we want to drive is through causal inference. In this book, author Matheus Facure, senior data scientist at Nubank, explains the largely untapped potential of causal inference for estimating impacts and effects. Managers, data scientists, and business analysts will learn classical causal inference methods like randomized control trials (A/B tests), linear regression, propensity score, synthetic controls, and difference-in-differences. Each method is accompanied by an application in the industry to serve as a grounding example. With this book, you will: Learn how to use basic concepts of causal inference Frame a business problem as a causal inference problem Understand how bias gets in the way of causal inference Learn how causal effects can differ from person to person Use repeated observations of the same customers across time to adjust for biases Understand how causal effects differ across geographic locations Examine noncompliance bias and effect dilution 0
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Brand: O'reilly Media, Incorporated
EAN: 9781492044079
MPN: 9781492044079
Categoría: Libros y revistas

Libro: The Practitioner's Guide to Graph Data: Applying Graph Thinking and Graph Technologies to Solve Complex Problems (978-1-4920-4407-9) de Gosnell, Denise, Matthias Broecheler (O'Reilly Media, Incorporated ) Comprar Libros de Otros .. Graph data closes the gap between the way humans and computers view the world. While computers rely on static rows and columns of data, people navigate and reason about life through relationships. This practical guide demonstrates how graph data brings these two approaches together. By working with concepts from graph theory, database schema, distributed systems, and data analysis, you'll arrive at a unique intersection known as graph thinking . Authors Denise Koessler Gosnell and Matthias Broecheler show data engineers, data scientists, and data analysts how to solve complex problems with graph databases. You'll explore templates for building with graph technology, along with examples that demonstrate how teams think about graph data within an application. Build an example application architecture with relational and graph technologies Use graph technology to build a Customer 360 application, the most popular graph data pattern today Dive into hierarchical data and troubleshoot a new paradigm that comes from working with graph data Find paths in graph data and learn why your trust in different paths motivates and informs your preferences Use collaborative filtering to design a Netflix-inspired recommendation system 0
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O'reilly Media, Incorporated in Libros y revistas

Brand: O'reilly Media, Incorporated
EAN: 9781491952023
MPN: 9781491952023
Categoría: Libros y revistas

Libro: Javascript: The Definitive Guide: Master the World's Most-Used Programming Language (978-1-4919-5202-3) de Flanagan, David (O'Reilly Media, Incorporated ) Comprar Libros de Ciencias Técnicas .Informática .Programación .. JavaScript is the programming language of the web and is used by more software developers today than any other programming language. For nearly 25 years this best seller has been the go-to guide for JavaScript programmers. The seventh edition is fully updated to cover the 2020 version of JavaScript, and new chapters cover classes, modules, iterators, generators, Promises, async/await, and metaprogramming. You'll find illuminating and engaging example code throughout. This book is for programmers who want to learn JavaScript and for web developers who want to take their understanding and mastery to the next level. It begins by explaining the JavaScript language itself, in detail, from the bottom up. It then builds on that foundation to cover the web platform and Node.js. Topics include: Types, values, variables, expressions, operators, statements, objects, and arrays Functions, classes, modules, iterators, generators, Promises, and async/await JavaScript's standard library: data structures, regular expressions, JSON, i18n, etc. The web platform: documents, components, graphics, networking, storage, and threads Node.js: buffers, files, streams, threads, child processes, web clients, and web servers Tools and language extensions that professional JavaScript developers rely on 0
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