Informationsutvinning (data mining)

Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve...

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Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you will learn how to plan and build systems to serv...

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Radio 4's Book of the WeekA Financial Times Book of the YearShortlisted for the 2020 Financial Times / McKinsey Business Book of the YearLonglisted for the National Book Award 'The story of the original data science hucksters of the 1960s is hilar...

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Revised to cover new advances in business intelligencebig data, cloud, mobile, and morethis fully updated bestseller reveals the latest techniques to exploit BI for the highest ROI. Cindi has created, with her typical attention to details that mat...

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Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide ad...

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Your analytical skills are incredibly valuable.  However, rational thinking alone isn't enough.   Have you ever: Presented an idea, but then no one seemed to care? span

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"Turn yourself into a Data Head. You'll become a more valuable employee and make your organization more successful." Thomas H. Davenport, Research Fellow, Author of Competing on Analytics, Big Data @ Work, and The AI Advantage You've hea...

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THE SIGNAL AND THE NOISE meets THINK LIKE A FREAK in this funny and fascinating look at what the vast amounts of information now available at our fingertips can tell us about ourselves and the world around us--provided we ask the right questions

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During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these dat...

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Data Science and Analytics with Python is designed for practitioners in data science and data analytics in both academic and business environments. The aim is to present the reader with the main concepts used in data science using tools developed ...

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Data science libraries, frameworks, modules, and toolkits are great for doing data science, but theyre also a good way to dive into the discipline without actually understanding data science. With this updated second edition, youll learn how many ...

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Deep Learning models are at the core of artificial intelligence research today. It is well known that deep learning techniques are disruptive for Euclidean data, such as images or sequence data, and not immediately applicable to graph-structured d...

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The amount of data being generated today is staggering--and growing. Apache Spark has emerged as the de facto tool to analyze big data and is now a critical part of the data science toolbox. Updated for Spark 3.0, this practical guide brings toget...

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Life scientists today urgently need training in bioinformatics skills. Too many bioinformatics programs are poorly written and barely maintained--usually by students and researchers who've never learned basic programming skills. This practical gui...

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If programming is magic then web scraping is surely a form of wizardry. By writing a simple automated program, you can query web servers, request data, and parse it to extract the information you need. The expanded edition of this practical book n...

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'A brilliant, fascinating and utterly accessible book... If you want to understand what money is - and what it is in danger of becoming - start right here' KATE RAWORTH, author of Doughnut Economics Many of us rarely use cash these days. And the r...

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Python is an ideal choice for accessing, manipulating, and gaining insights from data of all kinds. Python for Data Science introduces you to the Pythonic world of data analysis with a learn-by-doing approach rooted in practical examples and hands...

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Getting numbers is easy; getting numbers you can trust is hard. This practical guide by experimentation leaders at Google, LinkedIn, and Microsoft will teach you how to accelerate innovation using trustworthy online controlled experiments, or A/B ...

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The need to handle increasingly larger data volumes is one factor driving the adoption of a new class of nonrelational NoSQL databases. Advocates of NoSQL databases claim they can be used to build systems that are more performant, scale better, an...

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Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they're also a good way to dive into the discipline without actually understanding data science. With this updated second edition, you'll learn how man...

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Information Visualization: Perception for Design, Fourth Edition explores the art and science of why we see objects the way we do. Based on the science of perception and vision, the author presents the key principles at work for a wide range of ap...

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The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and influence. 'Data science' and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the e...

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R in Action, Third Edition teaches you to use the R language, including the popular tidyverse packages, through hands-on examples relevant to scientific, technical, and business developers. Built specifically for statistical computing and graphics...

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A guide for using computational text analysis to learn about the social world From social media posts and text messages to digital government documents and archives, researchers are bombarded with a deluge of text reflecting the social world. This...

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Overcome the challenges, appreciate the varieties, and apply the process of data integration. Learn all about data integration and become a data integration hero instead of following the masses and running in the opposite direction at the mere men...

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Step into the shoes of a master hacker as he breaks into an intelligent, highly defensive Windows environment. You'll be infiltrating the suspicious (fictional) offshoring company G & S Trust and their hostile Microsoft stronghold. While the t...

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Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge ...

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This book constitutes the refereed proceedings of the 35th Australasian Joint Conference on Artificial Intelligence, AI 2022, which took place in Perth, WA, Australia, in December 5-8, 2022. The 56 full papers included in this book were carefully ...

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This is a book about how ecologists can integrate remote sensing and GIS in their daily work. It will allow ecologists to get started with the application of remote sensing and to understand its potential and limitations. Using practical examples,...

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An accessible primer on how to create effective graphics from data This book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fa...

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