𝔖 Scriptorium
✦   LIBER   ✦
📁

Foundations of Data Science

✍ Scribed by John Hopcroft, Ravindran Kannan

Year
2014
Tongue
English
Leaves
419
Category
Library
⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Subjects

Информатика и вычислительная техника;Искусственный интеллект;Интеллектуальный анализ данных;

📜 SIMILAR VOLUMES

Foundations Of Data Science
📁 Foundations Of Data Science
✍ Avrim Blum, John Hopcroft, Ravindran Kannan 📂 Library 📅 2020 🏛 Cambridge University Press 🌐 English

This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such

Foundations of data science
📁 Foundations of data science
✍ Blum, Avrim; Hopcroft, John E.; Kannan, Ravindran 📂 Library 📅 2020 🏛 Cambridge University Press 🌐 English

"This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques suc

Statistical Foundations Of Data Science
📁 Statistical Foundations Of Data Science
✍ Jianqing Fan, Runze Li, Cun-Hui Zhang, Hui Zou 📂 Library 📅 2020 🏛 Chapman&Hall/CRC /Taylor & Francis Group 🌐 English

Statistical Foundations of Data Science gives a thorough introduction to commonly used statistical models, contemporary statistical machine learning techniques and algorithms, along with their mathematical insights and statistical theories. It aims to serve as a graduate-level textbook and a researc

Mathematical Foundations of Data Science
📁 Mathematical Foundations of Data Science
✍ Tomas Hrycej, Bernhard Bermeitinger, Matthias Cetto, Siegfried Handschuh 📂 Library 📅 2023 🏛 Springer 🌐 English

This textbook aims to point out the most important principles of data analysis from the mathematical point of view. Specifically, it selected these questions for exploring: Which are the principles necessary to understand the implications of an application, and which are necessary to understand the

Mathematical Foundations of Data Science
📁 Mathematical Foundations of Data Science
✍ Tomas Hrycej, Bernhard Bermeitinger, Matthias Cetto, Siegfried Handschuh 📂 Library 📅 2023 🏛 Springer 🌐 English

<span>This textbook aims to point out the most important principles of data analysis from the mathematical point of view. Specifically, it selected these questions for exploring:  Which are the principles necessary to understand the implications of an application, and which are necessary to understa