𝔖 Scriptorium
✦   LIBER   ✦
📁

Introduction to data science: a Python approach to concepts, techniques and applications

✍ Scribed by Igual, Laura;Seguí, Santi;Vitrià, Jordi

Publisher
Springer
Year
2017
Tongue
English
Leaves
227
Series
Undergraduate topics in computer science
Category
Library
⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Subjects

Programación de ordenadores;Python (Lenguaje de programación);Python (Lenguaje de programación);Programación de ordenadores

📜 SIMILAR VOLUMES

Introduction to Data Science: A Python A
📁 Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications
✍ Laura Igual; Santi Seguí 📂 Library 📅 2017 🏛 Springer 🌐 English

This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programmin

Introduction to Data Science: A Python A
📁 Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications
✍ Laura Igual; Santi Seguí 📂 Library 📅 2017 🏛 Springer 🌐 English

This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programmin

Introduction to Data Science. A Python
📁 Introduction to Data Science. A Python Approach to Concepts, Techniques and Applications
✍ Laura Igual, Santi Segu 📂 Library 📅 2017 🏛 Springer 🌐 English

This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programmin

Introduction to Data Science: A Python A
📁 Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications 2nd Edition
✍ Laura Igual, Santi Seguí 📂 Library 📅 2024 🏛 Springer 🌐 English

This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the interdisciplinary field of data science. The coverage spans key concepts from statistics, machine/deep learning and responsible data science, useful techniques for network analysis and natural

Algebraic Approach to Data Processing: T
📁 Algebraic Approach to Data Processing: Techniques and Applications
✍ Julio C. Urenda, Vladik Kreinovich 📂 Library 📅 2022 🏛 Springer 🌐 English

<p><span>The book explores a new general approach to selecting―and designing―data processing techniques. Symmetry and invariance ideas behind this algebraic approach have been successful in physics, where many new theories are formulated in symmetry terms.</span></p><p><span>The book explains this a

Introduction to Privacy-Preserving Data
📁 Introduction to Privacy-Preserving Data Publishing: Concepts and Techniques
✍ Benjamin C.M. Fung, Ke Wang, Ada Wai-Chee Fu, Philip S. Yu 📂 Library 📅 2010 🏛 Chapman and Hall/CRC 🌐 English

Gaining access to high-quality data is a vital necessity in knowledge-based decision making. But data in its raw form often contains sensitive information about individuals. Providing solutions to this problem, the methods and tools of privacy-preserving data publishing enable the publication of use