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Item #:
91353331
Introduction to Statistical and Machine Learning Methods for Data Science
Item #:
91353331
SAR 156
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What Stands Out
Comprehensive Content
Covers a wide range of statistical and machine learning techniques, ensuring a solid foundation for beginners and intermediate learners in data science.
Practical Applications
Emphasizes real-world applications, helping learners to understand the relevance and practicality of statistical and machine learning methods in various industries.
Interactive Learning
Incorporates hands-on exercises and examples, enhancing engagement and ensuring that learners can apply concepts effectively to solve actual data science problems.
Product Details
| Publisher | SAS Institute |
| Publication date | August 6, 2021 |
| Language | English |
| Print length | 170 pages |
| ISBN-10 | 1953329608 |
| ISBN-13 | 978-1953329608 |
| Item Weight | 2.31 pounds (1.05 kg) |
| Dimensions | 7.5 x 0.39 x 9.25 inches (19.1 x 1 x 23.5 cm) |
Product Description
Introduction to Statistical and Machine Learning Methods for Data Science
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Features & Benefits
- Comprehensive guide to data science and machine learning.
- Covers analytics lifecycle, data science methods, and statistical approaches.
- Includes a variety of case studies enhancing practical understanding.
- Written by experienced professionals with extensive expertise.
- Ideal for researchers, students, and anyone interested in data science.
- Transforms complex topics into accessible information for all.
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