Essential Math for Data Science by Thomas Nield (Author)
- Publisher: MATHEMATICS
- Availability: In Stock
- SKU: 59598
- Number of Pages: 349
Rs.1,045.00
Rs.1,395.00
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📘 Title Name: Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics
✍️ Author: Thomas Nield
📦 Quality: White Paper Pakistan Print
🔹 Introduction:
This book equips readers with the essential mathematical foundations—linear algebra, probability, and statistics—needed to excel in data science and machine learning. Designed for learners and professionals, it bridges theory with real-world applications.
🔑 Key Points:
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Covers linear algebra, probability, and statistics tailored for data science.
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Practical examples connecting math concepts to machine learning.
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Clear explanations for beginners without advanced math background.
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Strengthens problem-solving skills with real-world datasets.
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A valuable resource for students, analysts, and data professionals.
🔹 Conclusion:
Thomas Nield’s book makes the intimidating world of math approachable and directly applicable to data science. It is a must-read for anyone looking to strengthen their data analysis and machine learning skills through solid mathematical understanding.
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