15 Math Concepts Every Data Scientist Should Know:
Understand and learn how to apply the math behind data science algorithms
English | 2024 | ISBN: 1837634181 | 585 Pages | PDF | 29 MB
Data science combines the power of data with the rigor of scientific methodology, with mathematics providing the tools and frameworks for analysis, algorithm development, and deriving insights. As machine learning algorithms become increasingly complex, a solid grounding in math is crucial for data scientists. David Hoyle, with over 30 years of experience in statistical and mathematical modeling, brings unparalleled industrial expertise to this book, drawing from his work in building predictive models for the world's largest retailers.
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