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80 rezultatov

  • Ogled izdelka
    First Course in Random Matrix Theory(2020) POTTERS, MARC,BOUCHAUD, JEAN-PHILIPPE
    Classical statistical tools that handled real-life data have become inadequate upon the emergence of Big Data. Random matrix theory and free calculus introduced here present valuable solutions to the complex challenges posed by large datasets. Real world
    Vezava: Trda
    98,36 €
  • Ogled izdelka
    3-D Global Spatial Data Model(2020) BURKHOLDER, EARL F.
    This new second edition demystifies the concepts of spatial data accuracy and provides mathematical clarity to issues of network accuracy and local accuracy. Ideal for both beginner and advanced levels, this book also provides guidance and insight on how
    Vezava: Mehka
    93,27 €
  • Ogled izdelka
    Sentiment Analysis(2020) LIU, BING (UNIVERSITY OF ILLINOIS, CHICAGO)
    Sentiment analysis is the computational study of people's opinions, emotions, and attitudes. This comprehensive introduction covers all core areas useful for researchers and practitioners in natural language processing, computer science, management scienc
    Vezava: Trda
    113,63 €
  • Ogled izdelka
    Data Quality Fundamentals(2022) MOSES, BARR,GAVISH, LIOR,VORWERCK, MOLLY
    Do your product dashboards look funky? Are your quarterly reports stale? Is the dataset you're using broken or just plain wrong? These problems affect almost every team, yet they're usually addressed on an ad hoc basis and in a reactive manner. If you ans
    Vezava: Mehka
    67,97 €
  • Ogled izdelka
    Snowflake - The Definitive Guide(2022) AVILA, JOYCE KAY
    Snowflake's ability to eliminate data silos and run workloads from a single platform creates opportunities to democratize data analytics, allowing users within an organization to make data-driven decisions. This clear, comprehensive guide will show you ho
    Vezava: Mehka
    82,08 €
  • Ogled izdelka
    Python for Data Analysis 3e(2022) MCKINNEY, WES
    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 a broad set of data analysis problems effectively.
    Vezava: Mehka
    82,08 €
  • Ogled izdelka
    Painting by Numbers(2021) GREENWALD, DIANA SEAVE
    An innovative application of economic methods to the study of art history, demonstrating that new insights can be uncovered by using quantitative and qualitative methods together, which sheds light on longstanding disciplinary inequities
    Vezava: Trda
    49,98 €
  • Ogled izdelka
    Data Visualization(2018) HEALY, KIERAN
    An accessible primer on how to create effective graphics from dataThis 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 fail, how t
    Vezava: Trda
    117,81 €
  • Ogled izdelka
    Learning Deep Learning(2021) EKMAN, MAGNUS
    Vezava: Mehka
    77,90 €
  • Ogled izdelka
    Big Data(2017) HOLMES, DAWN E. (FACULTY MEMBER, DEPARTMENT OF STATISTICS AND APPLIED PROBABILITY, UNIVERSITY OF CALIFORNIA, SANTA BARBARA)
    An unimaginably vast amount of data is now generated by our on-line lives and businesses, At the same time, our ability to store, manage, analyse, and exploit this data is becoming ever more sophisticated. This Very Short Introduction maps out the technol
    Vezava: Mehka
    13,88 €
  • Ogled izdelka
    Introduction to Data Mining, Global Edition(2019) TAN, PANG-NING,STEINBACH, MICHAEL,KUMAR, VIPIN,KARPATNE, ANUJ
    Vezava: Mehka
    132,79 €
  • Ogled izdelka
    Practical Python Data Wrangling and Data Quality(2021) MCGREGOR, SUSAN E.
    Whether you already work with data or want to learn more about its possibilities, the examples and techniques in this practical book will help you more easily clean, evaluate, and analyze data so that you can generate meaningful insights and compelling vi
    Vezava: Mehka
    82,08 €
  • Ogled izdelka
    Learning SQL(2020) BEAULIEU, ALAN
    As data floods into your company, you need to put it to work right away-and SQL is the best tool for the job. With the latest edition of this introductory guide, author Alan Beaulieu helps developers get up to speed with SQL fundamentals for writing datab
    Vezava: Mehka
    67,97 €
  • Ogled izdelka
    Beginning Apache Spark 2(2018) LUU, HIEN
    Vezava: Mehka
    54,56 €
  • Ogled izdelka
    Beautiful Visualization : Looking At Data Through The Eyes Of Experts(2010) STEELE, JULIE
    With contributions from more than two dozen experts, this book demonstrates why visualizations are beautiful not only for their aesthetic design, but also for elegant layers of detail that efficiently generate insight and new understanding.
    Vezava: Mehka
    61,56 €
  • Ogled izdelka
    Doing Data Science(2013) O'NEILL, CATHY
    Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that's so clouded in hype? This
    Vezava: Mehka
    56,43 €
  • Ogled izdelka
    Mining Social Media(2019) VO, LAM THUY
    Buzzfeeed News Senior Reporter Lam Thuy Vo explains how to get, process, and analyze data from the social web in meaningful ways with the Python programming language.
    Vezava: Trda
    40,29 €
  • Ogled izdelka
    Scaling Python with Ray(2022) KARAU, HOLDEN,LUBLINSKY, BORIS
    In this book, authors Holden Karau and Boris Lublinsky show you how to scale existing Python applications and pipelines, allowing you to stay in the Python ecosystem while avoiding single points of failure and manual scheduling.
    Vezava: Mehka
    67,97 €
  • Ogled izdelka
    Mastering Python for Bioinformatics(2021) YOUENS-CLARK, KEN
    This practical guide shows postdoc bioinformatics professionals and students how to exploit the best parts of Python to solve problems in biology while creating documented, tested, reproducible software.
    Vezava: Mehka
    102,61 €
  • Ogled izdelka
    Data Mining(2016) WITTEN, IAN H. (COMPUTER SCIENCE DEPARTMENT, UNIVERSITY OF WAIKATO, NEW ZEALAND),FRANK, EIBE (COMPUTER SCIENCE DEPARTMENT, UNIVERSITY OF WAIKATO, NEW ZEALAND),HALL, MARK A. (COMPUTER SCIENCE DEPARTMENT, UNIVERSITY OF WAIKATO, NEW ZEALAND),PAL, CHRISTOPHER J. (DEPARTMENT OF COMPUTER ENGINEERING AND SOFTWARE ENGINEERING, POLYTECHNIQUE MONTREAL, QUEBEC, CANADA)
    Vezava: Mehka
    85,11 €

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