81,99 zł

Python for Data Analysis: A Complete Guide for Beginners, Including Python Statistics and Big Data Analysis. Independently Published

Książki / Literatura obcojęzyczna

Are you struggling to figure out which product you should introduce to the market, on how to reach your customers and get them to pay attention to you rather than the competition, worried about the amount of waste that is going on in your business and how

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205,00 zł

Monetizing Your Data - A Guide to Turning Data into Profit-Driving Strategies and Solutions John Wiley & Sons Inc

Książki / Literatura obcojęzyczna

Transforming data into revenue generating strategies and actionsOrganizations are swamped with data--collected from web traffic, point of sale systems, enterprise resource planning systems, and more, but what to do with it? Monetizing your Data provides a framework and path for business managers to convert ever-increasing volumes of data into revenue generating actions through three disciplines: decision architecture, data science, and guided analytics. There are large gaps between understanding a business problem and knowing which data is relevant to the problem and how to leverage that data to drive significant financial performance. Using a proven methodology developed in the field through delivering meaningful solutions to Fortune 500 companies, this book gives you the analytical tools, methods, and techniques to transform data you already have into information into insights that drive winning decisions. Beginning with an explanation of the analytical cycle, this book guides you through the process of developing value generating strategies that can translate into big returns. The companion website, www.monetizingyourdata.com, provides templates, checklists, and examples to help you apply the methodology in your environment, and the expert author team provides authoritative guidance every step of the way.This book shows you how to use your data to:Monetize your data to drive revenue and cut costsConnect your data to decisions that drive action and deliver valueDevelop analytic tools to guide managers up and down the ladder to better decisionsTurning data into action is key; data can be a valuable competitive advantage, but only if you understand how to organize it, structure it, and uncover the actionable information hidden within it through decision architecture and guided analytics. From multinational corporations to single-owner small businesses, companies of every size and structure stand to benefit from these tools, methods, and techniques; Monetizing your Data walks you through the translation and transformation to help you leverage your data into value creating strategies.

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439,99 zł

The Practitioner's Guide To Governance As Leadership

Książki Obcojęzyczne>Angielskie>Economics, finance, business & management>Business & management>Corporate governance

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Sklep: Gigant.pl

58,99 zł

New Aqa Science Gcse Science A Revision Guide

Książki Obcojęzyczne>Angielskie>Children

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Sklep: Gigant.pl

260,12 zł

Doing HR Analytics - A Practitioner's Handbook With R Examples Createspace Independent Publishing Platform

Książki / Literatura obcojęzyczna

People / HR Analytics is: -Where Data Science meets HR -Where HR Management and Decision Making can be based on, driven by, and transformed by data For many, if not most HR professionals in organizations - this is NOT HR 'business as usual'. "Doing HR Anal

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399,99 zł

A Practical Guide To Scientific Data Analysis

Książki Obcojęzyczne>Angielskie>Mathematics & science>Science: general issues

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Sklep: Gigant.pl

178,07 zł

Julia for Data Science Technics Publications LLC

Książki / Literatura obcojęzyczna

Master how to use the Julia language to solve business critical data science challenges. After covering the importance of Julia to the data science community and several essential data science principles, we start with the basics including how to install Julia and its powerful libraries. Many examples are provided as we illustrate how to leverage each Julia command, dataset, and function. Specialized script packages are introduced and described. Hands-on problems representative of those commonly encountered throughout the data science pipeline are provided, and we guide you in the use of Julia in solving them using published datasets. Many of these scenarios make use of existing packages and built-in functions, as we cover: 1.An overview of the data science pipeline along with an example illustrating the key points, implemented in Julia. 2. Options for Julia IDEs. 3.Programming structures and functions. 4. Engineering tasks, such as importing, cleaning, formatting and storing data, as well as performing data preprocessing. 5. Data visualization and some simple yet powerful statistics for data exploration purposes. 6. Dimensionality reduction and feature evaluation. 7. Machine learning methods, ranging from unsupervised (different types of clustering) to supervised ones (decision trees, random forests, basic neural networks, regression trees, and Extreme Learning Machines). 8.Graph analysis including pinpointing the connections among the various entities and how they can be mined for useful insights. Each chapter concludes with a series of questions and exercises to reinforce what you learned. The last chapter of the book will guide you in creating a data science application from scratch using Julia.

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324,69 zł

Practical Web Scraping for Data Science APress

Książki / Literatura obcojęzyczna

This book provides a complete and modern guide to web scraping, using Python as the programming language, without glossing over important details or best practices. Written with a data science audience in mind, the book explores both scraping and the larger context of web technologies in which it operates, to ensure full understanding. The authors recommend web scraping as a powerful tool for any data scientist's arsenal, as many data science projects start by obtaining an appropriate data set.Starting with a brief overview on scraping and real-life use cases, the authors explore the core concepts of HTTP, HTML, and CSS to provide a solid foundation. Along with a quick Python primer, they cover Selenium for JavaScript-heavy sites, and web crawling in detail. The book finishes with a recap of best practices and a collection of examples that bring together everything you've learned and illustrate various data science use cases.What You'll LearnLeverage well-established best practices and commonly-used Python packagesHandle today's web, including JavaScript, cookies, and common web scraping mitigation techniquesUnderstand the managerial and legal concerns regarding web scraping Who This Book is For A data science oriented audience that is probably already familiar with Python or another programming language or analytical toolkit (R, SAS, SPSS, etc). Students or instructors in university courses may also benefit. Readers unfamiliar with Python will appreciate a quick Python primer in chapter 1 to catch up with the basics and provide pointers to other guides as well.

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234,65 zł

Machine Learning Governance for Data Science Managers Springer, Berlin

Książki / Literatura obcojęzyczna

Machine Learning Governance for Data Science Managers provides readers with the knowledge to unlock insights from data and leverage AI solutions. In today's business landscape, most organizations face challenges in scaling and maintaining a sustainable machine learning model lifecycle. This book offers a comprehensive framework that covers business requirements, data generation and acquisition, modeling, model deployment, and management, providing a range of methodologies, technologies, and resources to assist data science managers in adopting data and AI-driven practices.Readers will learn sustainable tools for implementing machine learning with existing IT and privacy policies, including versioning all models, creating documentation, monitoring models and their results, and assessing their causal business impact. By overcoming these challenges, bottom-line gains from AI investments can be realized.Organizations that implement all aspects of AI/ML model governance can achieve a high level of control and visibility over how models perform in production, leading to improved operational efficiency and a higher ROI on AI investments. Machine Learning Governance for Data Science Managers helps to effectively control model inputs and understand all the variables that may impact your results. Don't let challenges in machine learning hinder your organization's growth - unlock its potential with this essential guide.

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260,78 zł

Data Science at the Command Line O'Reilly Media, Inc, USA

Książki / Literatura obcojęzyczna

This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You'll learn how to combine small yet powerful command-line tools to quickly obtain, scrub, explore, and model your data. To get you started, author Jeroen Janssens provides a Docker image packed with over 80 tools--useful whether you work with Windows, macOS, or Linux. You'll quickly discover why the command line is an agile, scalable, and extensible technology. Even if you're comfortable processing data with Python or R, you'll learn how to greatly improve your data science workflow by leveraging the command line's power. This book is ideal for data scientists, analysts, and engineers; software and machine learning engineers; and system administrators. Obtain data from websites, APIs, databases, and spreadsheets Perform scrub operations on text, CSV, HTM, XML, and JSON files Explore data, compute descriptive statistics, and create visualizations Manage your data science workflow Create reusable command-line tools from one-liners and existing Python or R code Parallelize and distribute data-intensive pipelines Model data with dimensionality reduction, clustering, regression, and classification algorithms

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178,27 zł

Data Science Programming All-in-One For Dummies John Wiley & Sons Inc

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Your logical, linear guide to the fundamentals of data science programming Data science is exploding--in a good way--with a forecast of 1.7 megabytes of new information created every second for each human being on the planet by 2020 and 11

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186,71 zł

Introduction to Data Science for Social and Policy Research Cambridge University Press

Książki / Literatura obcojęzyczna

This comprehensive guide provides a step-by-step approach to data collection, cleaning, formatting, and storage, using Python and R.

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49,64 zł

Introduction to Data Science with Python: Basics of Numpy and Pandas Independently Published

Książki / Literatura obcojęzyczna

This book is a guide for you on how to use Pandas and Numpy in Python programming language for data analysis. The author begins by helping you familiarize yourself with the basics of data science, Numpy and Pandas. You are guided on how to work with Numpy

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169,99 zł

A Common-sense Guide To Data Structures And Algorithms

Książki Obcojęzyczne>Angielskie>Computing & information technology>Computer science

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Sklep: Gigant.pl

104,99 zł

Cambridge International As And A Level Computer Science Revision Guide

Książki Obcojęzyczne>Angielskie>Computing & information technology>Computer science

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Sklep: Gigant.pl

szukaj w Kangoo krainaksiazek a practitioner s guide to data science 20045607

Sklepy zlokalizowane w miastach: Warszawa, Kraków, Łódź, Wrocław, Poznań, Gdańsk, Szczecin, Bydgoszcz, Lublin, Katowice

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