Applying Data Science: How to Create Value with Artificial Intelligence, (Paperback)
82% of respondents would recommend this to a friend
WST 280
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Create competitive advantage by harnessing the power of AI-based data science with practical guidelines and successful applications.
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What Stands Out
Product Details
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | September, 2021 |
| Pages | 494 |
| Subgenre | Artificial Intelligence |
| Series title | No Series |
| Edition | 2020 Edition |
| Publisher | Springer International Publishing |
| Original languages | English |
| Language | English |
| Edu focus | Technology |
| Educational level | General |
| Is collectible | N |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.14 x 1.06 x 9.21 in (15.6 x 2.7 x 23.4 cm) |
| Assembled product weight | 1.61 lb (730 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
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Data Professionals
Ideal for data analysts and scientists seeking to enhance their skills in applying AI for business value creation.
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Business Leaders
Helpful for executives wanting to understand AI’s impact on business strategy and to leverage data-driven decisions.
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Students
Great for students in data science or AI courses looking for practical insights and real-world applications.
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Non-Technical Users
May not suit those without a background in data science as concepts might be complex or challenging to grasp.
Product Description
Applying Data Science: How to Create Value with Artificial Intelligence, (Paperback)
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Arthur K Kordon All Books Editorial Review
Applying Data Science: How to Create Value with Artificial Intelligence is a comprehensive paperback guide, published in September 2021, that delves into the non-fiction genre of Computing & Internet, specifically focusing on artificial intelligence. Spanning 494 pages, this book provides insightful knowledge for readers at a general educational level, making it a perfect choice for those looking to enhance their understanding of technology and data science. The 2020 edition, published by Springer International Publishing, is designed to equip readers with practical applications of AI, facilitating value creation in various contexts. Readers appreciate the clear structure and practical examples which contribute to a deeper comprehension of data science concepts.
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Pros
- Comprehensive guide on artificial intelligence applications
- Well-structured for beginners and experts alike
- Includes practical examples for better understanding
- Latest edition published in September 2021
- Covers a wide range of technology topics
Cons
- Some may find the length of the book overwhelming
Product Price History
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WST 280
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Features & Benefits
- Offers a problem-driven approach to AI-based data science.
- Covers essential technologies including machine learning and deep learning.
- Describes a comprehensive process from problem acquisition to model deployment.
- Illustrates successful applications in manufacturing and business.
- Guides on building infrastructure and developing necessary skillsets.
- Ideal for data scientists, business leaders, and students seeking practical insights.
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