Texts in Computer Science Guide to Intelligent Data Science: How to Intelligently Make Use of Real Data, Hardcover
MMK 302750
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This practical and systematic textbook/reference is a need-to-have tool for graduate and advanced undergraduate students and essential reading for all professionals who face data science problems.
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What Stands Out
Product Details
| Book format | Hardcover |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Pub date | 2020-09-14 |
| Pages | 420 |
| Reading level | General/Trade |
| Subgenre | Data Science |
| Series title | Texts in Computer Science |
| Edition | 2nd 2020 Edition |
| Publisher | Springer International Publishing |
| Original languages | English |
| Language | English |
| Edu focus | Mathematics |
| Educational level | General |
| Is collectible | N |
| Binding type | Case Binding |
| Retail packaging | Single Piece |
| Assembled product height | 9.21 in (23.4 cm) |
| Assembled product weight | 1.73 lb (780 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
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Data Scientists
This book offers essential insights to enhance understanding and application of intelligent data utilization in their work.
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Students
Ideal for students in computer science looking to grasp data science concepts and methodologies through real-world applications.
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Business Analysts
Helps business analysts interpret data intelligently, leading to better decision-making and strategic planning within organizations.
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Beginners
Not suited for beginners with no prior knowledge of data science concepts, as it may be too advanced.
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Casual Readers
Individuals looking for light reading may find the content too technical and detailed to grasp easily.
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Non-technical Workers
Those in non-technical roles may struggle to apply the insights from the book effectively in their jobs.
Product Description
Texts in Computer Science Guide to Intelligent Data Science: How to Intelligently Make Use of Real Data, Hardcover
Customer Questions & Answers
-
Question:
Who is this book intended for?
Answer: This book is designed for graduate and advanced undergraduate students, as well as professionals facing data science challenges. -
Question:
What key topics does the book cover?
Answer: It covers project understanding, data understanding, data blending, transformation, modeling, deployment, and monitoring. -
Question:
Does the book provide practical examples?
Answer: Yes, it includes numerous examples using the KNIME Analytics Platform and integrates illustrations and case studies.
Michael R Berthold All Books Editorial Review
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MMK 302750
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Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
Features & Benefits
- Essential resource for graduate and advanced undergraduate students in data science.
- Offers a hands-on instructional approach to data science techniques.
- Integrates human intuition, computational power, and sound background knowledge.
- Updates include deep learning techniques and real-world problem-solving.
- Features illustrations, case studies, and project guidance.
- Includes additional resources on an associated website.