MLI Data Analytics Digital Collection

MLI Data Analytics Digital Collection

Compiled by Mercury Learning and Information
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August 2021
9781683927730
More details
  • Publisher
    Mercury Learning and Information
  • Published
    15th August 2021
  • ISBN 9781683927730
  • Language English
  • Pages 5040 pp.
  • Size 8.5" x 11"
$149.95
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August 2021
9781683920779
More details
  • Publisher
    Mercury Learning and Information
  • Published
    15th August 2021
  • ISBN 9781683920779
  • Language English
  • Pages 5040 pp.
  • Size 8.5" x 11"
$399.95

Master data science and data analytics concepts with this incredible, completely searchable, collection of sixteen books in one continuous PDF file format. Over 5000 pages of up-to-date content covering artificial intelligence, data analytics tools, machine and deep learning, programming languages, natural language processing, and much more. Includes companion files with numerous datasets, code, figures, videos, case studies, from the texts.

Features:

  • Includes 16 complete book titles (5040 pages) of fully searchable, content in one PDF file format
  • Covers all of the timely subjects in data science and data analytics, including big data, data mining, machine learning, deep learning, text analytics, natural language processing, programming languages used, artificial intelligence, data visualization, and more
  • Features programming languages such as Hadoop, Hive, R, Excel, Python, KNIME, TensorFlow, Angular, and the CRISP-DM data mining standard
  • Download the included companion files with numerous datasets, code, figures, videos, case studies, from the texts

Complete Book Titles Included in this Collection:

§   Angular and Machine Learning Pocket Primer

§   Artificial Intelligence, Machine Learning, Deep Learning

§   Big Data Using Hadoop and Hive

§   Cluster Analysis and Data Mining

§   Data Analysis for Business Decisions Second Edition

§   Data Analytics: Systems Engineering • Cybersecurity • Project Management

§   Data Cleaning Pocket Primer

§   Data Science Fundamentals Pocket Primer

§   Data Science Tools: R • Excel • KNIME • OpenOffice

§   Data Visualization for Business Decisions Third Edition

§   Excel Functions and Formulas 2019/365 Fifth Edition

§   Natural Language Processing and Machine Learning for Developers

§   Python 3 and Data Analytics Pocket Primer

§   Python 3 for Machine Learning

§   TensorFlow 2 Pocket Primer

§   Text Analytics for Business Decisions

Business Communication; Data Analytics; Computer Science