£44.79

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

Data Mining

Price data last checked 66 day(s) ago - refreshing...

View at Amazon

Price History & Forecast

Last 25 days • 25 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 25 days • 1 price levels

Days at Price

Price Analysis

Most common price: £45 (25 days, 100.0%)

Price range: £45 - £45

Price levels: 1 different prices over 25 days

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
ASIN: B0FHVWCVKH
Category: Books > Subjects > Computing & Internet > Databases > Data Storage & Management > Data Mining
Domain: Amazon UK
Release Date: 16 July 2025
Listed Since: 17 July 2025

Barcode

No barcode data available

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

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

A Mathematical Introduction to Data Science

Data Science and Machine Learning: Mathematical and Statistical Methods (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

No Bullshit Math for Data Science: Your Comprehensive, Short and Sharp Guide to the Mathematics of Data Science

Mathematics of Machine Learning: Master linear algebra, calculus, and probability for machine learning

Basic Mathematical Foundations of AI: Hands on with Python (Mastering Machine Learning)

Fundamental Mathematical Concepts for Machine Learning in Science

Before Machine Learning Volume 2 - Calculus for A.I: The fundamental mathematics for Data Science and Artificial Intelligence

Data Science and Machine Learning: Mathematical and Statistical Methods, Second Edition (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

Data Science and Predictive Analytics: Biomedical and Health Applications using R (The Springer Series in Applied Machine Learning)

Multivariable Calculus with Mathematica

The Data Science Manual: A Comprehensive Guide to Tools and Techniques for Data Analysis, Modeling, and Deployment with Python

Proof Techniques: The All in One Textbook (Haneul Choi Mathematics Textbooks)

Data Science and Predictive Analytics: Biomedical and Health Applications using R (The Springer Series in Applied Machine Learning)

Linear Algebra and Optimization for Machine Learning: A Textbook

Brief Calculus: An Applied Approach

Machine Learning With Go: Implement Regression, Classification, Clustering, Time-series Models, Neural Networks, and More using the Go Programming Language

Information-Driven Machine Learning: Data Science as an Engineering Discipline

Machine Learning Foundations: Volume 1: Supervised Learning

The Beginner's Guide to Data Science

Fundamental Mathematical Concepts for Machine Learning in Science

Fundamentals and Methods of Machine and Deep Learning: Algorithms, Tools, and Applications

Machine Learning and Big Data: Concepts, Algorithms, Tools and Applications

Optimization for Machine Learning (Neural Information Processing series)

Simulation and Analysis of Mathematical Methods in Real-Time Engineering Applications (Modern Mathematics in Computer Science)