Math for Data Science

Omar Hijab

may 2025 · Springer Nature

Libro electrónico

575

Páginas

Las calificaciones y opiniones no están verificadas. Más información

Acerca de este libro electrónico

Math for Data Science presents the mathematical foundations necessary for studying and working in Data Science. The book is suitable for courses in applied mathematics, business analytics, computer science, data science, and engineering. The text covers the portions of linear algebra, calculus, probability, and statistics prerequisite to Data Science. The highlight of the book is the machine learning chapter, where the results of the previous chapters are applied to neural network training and stochastic gradient descent. Also included in this last chapter are advanced topics such as accelerated gradient descent and logistic regression trainability.

Clear examples are supported with detailed figures and Python code; Jupyter notebooks and supporting files are available on the author's website. More than 380 exercises and nine detailed appendices covering background elementary material are provided to aid understanding. The book begins at a gentle pace, by focusing on two-dimensional datasets. As the text progresses, foundational topics are expanded upon, leading to deeper results at a more advanced level.

Acerca del autor

Omar Hijab obtained his doctorate from the University of California at Berkeley, and is faculty at Temple University in Philadelphia, Pennsylvania. Other book publications include Introduction to Calculus and Classical Analysis, 4th edition (978-3-319-28399-9) and Stabilization of Control Systems (978-0-387-96384-6).

Califica este libro electrónico

Cuéntanos lo que piensas.

Información de lectura

Smartphones y tablets

Instala la app de Google Play Libros para Android y iPad/iPhone. Como se sincroniza de manera automática con tu cuenta, te permite leer en línea o sin conexión en cualquier lugar.

Laptops y computadoras

Para escuchar audiolibros adquiridos en Google Play, usa el navegador web de tu computadora.

Lectores electrónicos y otros dispositivos

Para leer en dispositivos de tinta electrónica, como los lectores de libros electrónicos Kobo, deberás descargar un archivo y transferirlo a tu dispositivo. Sigue las instrucciones detalladas que aparecen en el Centro de ayuda para transferir los archivos a lectores de libros electrónicos compatibles.

Denunciar contenido ilegal