Linear Algebra and Learning from Data (ISBN 9780692196380)

Linear Algebra and Learning from Data is a groundbreaking textbook that bridges the gap between linear algebra and modern applications in data science and machine learning. Written by renowned MIT professor Gilbert Strang, this book provides clear explanations and practical insights into how linear algebra underpins today’s most important technologies, from AI algorithms to big data analysis. It is widely used by students, researchers, and professionals in applied mathematics, computer science, and engineering.

Product Details

• Title: Linear Algebra and Learning from Data
• Author: Gilbert Strang
• Publisher: Wellesley-Cambridge Press
• ISBN-13: 9780692196380
• Format: Hardcover
• Pages: 450+
• Dimensions: 8.5 x 11 inches
• Price: $49.99
• Availability: In Stock | Free shipping on all orders

At BooksGoat, we provide the official Linear Algebra and Learning from Data at the best value. Plus, complete our data science quiz: score 75% or higher and unlock an extra 5% discount.

Key Features of This Textbook

• Linear Algebra Foundations: Comprehensive coverage of vectors, matrices, eigenvalues, and linear transformations.
• Machine Learning Applications: Demonstrates how linear algebra powers regression, classification, deep learning, and optimization.
• Data Science Integration: Connects mathematical concepts with real-world problems in AI and data-driven modeling.
• Renowned Author: Gilbert Strang, celebrated for making mathematics accessible and applicable.
• Educational Utility: Suitable for undergraduate and graduate students, as well as professionals in AI and applied math.

Table of Contents Highlights

1. Introduction to Linear Algebra
2. Matrices and Systems of Equations
3. Vector Spaces and Subspaces
4. Eigenvalues and Eigenvectors
5. Least Squares and Regression Models
6. Optimization in Machine Learning
7. Neural Networks and Deep Learning
8. Big Data, PCA, and Dimensionality Reduction

Who Should Buy This Book?

• Students in mathematics, computer science, engineering, or data science.
• Researchers applying linear algebra to machine learning models.
• Professionals in AI, big data, or analytics seeking strong math foundations.
• Libraries supporting STEM and applied math programs.

Why Choose BooksGoat?

• Best Price: $49.99 vs higher prices elsewhere
• Free Shipping: On all orders
• Exclusive Quiz Discount: Score 75%+ and save 5%
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FAQs

Is this book beginner-friendly?

It is accessible to students with basic math knowledge while also serving as a deep resource for advanced learners.

Does it include machine learning examples?

Yes, it integrates machine learning applications such as regression, neural networks, and data reduction techniques.

Who is the author?

Gilbert Strang, MIT professor and leading figure in linear algebra education.

Is it suitable for self-study?

Yes, it is structured to be useful both in classrooms and for independent learners.

Final Call – Buy Now

Linear Algebra and Learning from Data is the essential textbook linking linear algebra with real-world data science and AI applications. Order today from BooksGoat for just $49.99. Free shipping and quiz discount available.