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Item #:
40597657
Data Science From Scratch: Ultimate Guide To Master Data Mining And Data-Analytic From Linear Algebra And Statistics To Practical Examples Of Neural
78% of respondents would recommend this to a friend
Item #:
40597657
LSL 541
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What Stands Out
Comprehensive Coverage
Offers in-depth insights on data mining and analytics, covering essential topics from linear algebra to neural networks, providing a solid foundation for beginners and advanced learners alike.
Practical Examples
Includes real-world applications and practical examples, allowing readers to apply theoretical concepts in Python, facilitating a hands-on learning experience that enhances understanding.
Targeted Learning
Designed for both novices and experienced practitioners in data science, ensuring the material addresses a wide audience, focusing on critical concepts that bridge theory and practical implementation.
Product Details
| Publisher | Independently published |
| Publication date | July 26, 2019 |
| Language | English |
| Print length | 173 pages |
| ISBN-10 | 1083050729 |
| ISBN-13 | 978-1083050724 |
| Item Weight | 8.5 ounces (240.98 grams) |
| Dimensions | 6 x 0.39 x 9 inches (15.2 x 1 x 22.9 cm) |
Who Should Buy?
-
Beginners in Data Science
Ideal for novices looking for a comprehensive guide to understand core concepts and practical applications in data science.
-
Students of Mathematics
Students seeking to connect mathematical theories with practical data analytics through illustrative examples and Python coding.
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Professionals Switching Careers
Great resource for professionals looking to transition into data science roles through a structured learning approach.
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Advanced Data Scientists
Experienced practitioners may find the content too basic and not challenging enough for their skill level.
Product Description
Data Science From Scratch: Ultimate Guide To Master Data Mining And Data-Analytic From Linear Algebra And Statistics To Practical Examples Of Neural ... Learning In Python (Computer Networking Easy)
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Customer Questions & Answers
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Question:
What will I learn from this book?
Answer: You will learn about data mining, analytics, big data, statistics, linear algebra, and practical applications in Python. -
Question:
Is the Kindle eBook included with my paperback purchase?
Answer: Yes, when you purchase the paperback version of the book, you get the Kindle eBook for free. -
Question:
Why is data science important for my career?
Answer: Data science is increasingly in demand across industries, making it crucial for job opportunities and business success.
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Pros
- Comprehensive coverage of topics
- Accessible for beginners
- Includes practical examples
- Focus on real-world applications
- Good for foundational knowledge
Cons
- Some concepts may be overly simplified.
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Features & Benefits
- Comprehensive guide to mastering data science from scratch.
- Learn essential concepts of data mining and data analytics.
- Covers statistics, linear algebra, and practical examples in Python.
- Includes Kindle eBook free with the paperback version.
- Addresses the growing demand for data scientists and their job roles.
- Offers insights into big data and its applications in business.
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