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104766382
15 Math Concepts Every Data Scientist Should Know: Understand and learn how to apply the math behind data science algorithms
87% of respondents would recommend this to a friend
Item #:
104766382
€ 58
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Create more effective and powerful data science solutions by learning when, where, and how to apply key math principles that drive most data science algorithms.
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What Stands Out
Comprehensive Coverage
Covers 15 essential math concepts crucial for data science, providing a solid foundation for learners to understand complex algorithms and their applications in real-world scenarios.
Practical Application
Focuses on the practical implementation of mathematical concepts, ensuring that data scientists can effectively apply their knowledge to solve data challenges and enhance predictive modeling.
Skill Advancement
Equips data scientists with the necessary skills to interpret data and algorithms better, raising their competency and effectiveness in delivering data-driven insights across various industries.
Product Details
| Publisher | Packt Publishing |
| Publication date | August 16, 2024 |
| Language | English |
| Print length | 510 pages |
| ISBN-10 | 1837634181 |
| ISBN-13 | 978-1837634187 |
| Item Weight | 1.91 pounds (870 grams) |
| Dimensions | 7.5 x 1.15 x 9.25 inches (19.1 x 2.9 x 23.5 cm) |
Who Should Buy?
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Aspiring Data Scientists
Individuals looking to build a strong mathematical foundation necessary for understanding data science algorithms.
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Data Science Students
Students pursuing formal education in data science who require supplementary material to enhance their math skills.
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Professionals Upskilling
Professionals in tech or analytics seeking to deepen their understanding of the math underlying data science.
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Beginners in Math
Those who lack basic math skills may struggle with the concepts presented without prior grounding in mathematics.
Product Description
15 Math Concepts Every Data Scientist Should Know: Understand and learn how to apply the math behind data science algorithms
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Data Modeling & Design Editorial Review
**** "15 Math Concepts Every Data Scientist Should Know" by Hoyle is a well-rounded and insightful resource for anyone eager to strengthen their understanding of the mathematical foundations essential for data science. The book deftly builds a bridge between basic concepts and advanced topics, making it accessible for a wide range of readers—from beginners to those with more experience seeking to deepen their knowledge. The structured approach is commendable, starting from fundamental concepts like random variables and probability distributions, transitioning smoothly through intermediate topics such as time series analysis and hypothesis testing, and advancing to sophisticated areas like information theory and Bayesian methods. This gradual escalation ensures readers are well-equipped to tackle increasingly complex ideas without feeling overwhelmed. Hoyle's clear and engaging writing style fosters understanding, which is further supported by summaries and recommendations for further reading at the end of each chapter. Practical applications are emphasized throughout the book, particularly with the inclusion of Python code examples and exercises housed in a GitHub repository. This hands-on aspect is invaluable for readers looking to apply theoretical knowledge to real-world problems, specifically in building predictive models and refining algorithms. The book's quality is enhanced by its elegant typography and well-organized layout, which make it pleasant to read. Whether through strikingly rendered images or clearly formatted tables, the material is presented in a visually engaging manner, aiding in comprehension of dense topics. In summary, Hoyle's book stands as an excellent reference and learning tool for data scientists committed to mastering their craft. It effectively combines robust theoretical coverage with practical implementation, making it a vital addition to any data science toolkit. **
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Pros
- Comprehensive coverage of fundamental and advanced mathematical concepts.
- Clear and engaging writing style, making complex topics accessible.
- Strong practical focus with Python code examples and exercises.
- Well-structured content that logically progresses from basic to advanced topics.
- High-quality typography and visuals that enhance readability and understanding.
Cons
- Might be challenging for complete beginners without any mathematical background.
Product Price History
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€ 58
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Features & Benefits
- Learn essential math concepts vital for data science success.
- Understand and apply data science algorithms with practical, Python-based examples.
- Elevate your skills with advanced mathematical techniques and problem-solving strategies.
- Gain confidence in algorithm development to enhance your data science solutions.
- Ideal for data scientists, machine learning engineers, and data analysts seeking deeper mathematical insights.
- Purchase includes a free PDF eBook to complement your learning.
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