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Data Science: Concepts and Practice
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Data Science: Concepts and Practice
Gain the necessary knowledge of different data science techniques to extract value from data.
Data Science: Concepts and Practice
物品 #: 227572170

Data Science: Concepts and Practice

89% of respondents would recommend this to a friend

物品 #: 227572170

HKD 495

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Gain the necessary knowledge of different data science techniques to extract value from data.
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產品詳情

Shop Data Science: Concepts and Practice online at a best price in 香港. B07L29CY52
Publisher Morgan Kaufmann
Publication date November 27, 2018
Edition 2nd
Language English
File size 55.5 MB
Screen Reader Supported
Enhanced typesetting Enabled
X-Ray for textbooks Enabled
Word Wise Not Enabled
Print length 544 pages
ISBN-13 978-0128147627
Page Flip Enabled
Item Weight1.5 lbs (680 grams)

產品敘述

Data Science: Concepts and Practice

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AI & Semantics Editorial Review

The product in review appears to be a textbook on Predictive Analytics that utilizes RapidMiner as its primary tool. Customers have generally found the book to be well-written, straightforward, and effective for those specifically looking to learn how to employ RapidMiner in their predictive analytics endeavors. While the book covers foundational concepts in data science, some users note that it may not be comprehensive enough for those seeking an in-depth understanding of the field, particularly in programming languages like R or Python. Feedback highlights the effectiveness of the book in teaching fundamental principles, with one reviewer praising its clarity and ease of understanding. This positions the textbook as an excellent resource for beginners or students needing to engage with predictive analytics in a practical context, albeit with the understanding that it may serve best as a supplement rather than a standalone data science curriculum. **

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優點

  • Comprehensive coverage of using RapidMiner for predictive analytics.
  • Well-written and easy to understand, making it accessible for beginners.
  • Provides a solid foundation in the principles of data science.

缺點

  • Not a deep dive into data science; may not suffice for advanced learning.

Product Price History

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特色和優勢

  • Master 30 powerful data science algorithms.
  • Learn data science techniques applicable to businesses.
  • Use RapidMiner for hands-on data analysis.
  • Understand concepts of data science through simple explanations.
  • No prior programming experience required.
  • Practical use cases demonstrate effective implementation.

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