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40597657
Data Science From Scratch: Ultimate Guide To Master Data Mining And Data-Analytic From Linear Algebra And Statistics To Practical Examples Of Neural
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Item #:
40597657
STD 627945
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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.
-
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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Data Modeling & Design Editorial Review
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 is an enlightening resource for aspiring data scientists. Published on July 26, 2019, this book spans 173 pages and covers essential topics from linear algebra to practical neural network examples in Python. Readers have noted its clear explanations and practical approach, making complex concepts more relatable for beginners. The engaging writing style allows for easy understanding, which is highly appreciated by most reviewers, ensuring this guide serves as a strong foundation for data analytic skills.
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Pros
- Clear explanations of complex concepts
- Engaging writing style for beginners
- Practical examples in Python
- Comprehensive coverage of data mining
- Effective introduction to linear algebra
Cons
- Some readers may seek more advanced content
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