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Calculus For Data Science: The All in One Textbook (Haneul Choi Mathematics Textbooks)

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Description

Master Calculus Concepts That Drive Modern Data Science & Machine Learning Tired of textbooks that drown you in theory yet leave you guessing when it’s time to do the calculations? This comprehensive workbook bridges the gap between pure mathematics and real-world analytics, guiding you through every derivative, gradient, and integral you’ll ever need in a data-driven career. Why Readers Love This Book 500+ Carefully Curated Problems – Progress from fundamental limits to advanced multivariate optimization without missing a step. Fully Worked Solutions – Every exercise is solved line-by-line, so you grasp how and why each technique works. 44 Laser-Focused Chapters – Each chapter zeroes in on a single skill: chain rule in deep networks, Hessians for curvature, integrals for expectation, and more. Data-Centric Examples – Problems are framed around regression, classification, A/B testing, stochastic gradients, differential privacy, and other day-to-day analytics tasks. Exam & Interview Ready – Cement the calculus foundations demanded by top tech companies, graduate programs, and Kaggle competitions. Self-Paced Learning – Clear explanations, incremental difficulty, and solution keys make it perfect for independent study or flipped classrooms. Future-Proof Reference – Keep it on your desk when fine-tuning loss functions, interpreting model sensitivity, or debugging gradient explosions. Inside You’ll Discover Limit laws that ensure model stability. Gradients, Jacobians & Hessians for optimization. Integration techniques powering expectation and variance. Calculus of variations for functional learning. Subgradients & proximal methods for non-smooth regularizers. Automatic differentiation insights behind modern frameworks. Stochastic calculus foundations for Bayesian inference and reinforcement learning. Equip yourself with the mathematical toolkit trusted by data scientists, quantitative analysts, and machine-learning engineers worldwide. Whether you’re refining hyper-parameters or crafting production pipelines, the problem-solving muscle you build here will pay dividends for years to come.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
16 July 2025
Listed Since
17 July 2025

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