Algorithms for data science — Scriptorium Liberum

Algorithms for Data Science

✍ Brian Steele, John Chandler, Swarna Reddy 📂 Library 📅 2017 🏛 Springer 🌐 English

This textbook on practical data analytics unites fundamental principles, algorithms, and data. Algorithms are the keystone of data analytics and the focal point of this textbook. Clear and intuitive explanations of the mathematical and statistical foundations make the algorithms transparent. But pra

Algorithms for Data Science

📁 Algorithms for Data Science

✍ Brian Steele, John Chandler, Swarna Reddy (auth.) 📂 Library 📅 2016 🏛 Springer International Publishing 🌐 English

<p>This textbook on practical data analytics unites fundamental principles, algorithms, and data. Algorithms are the keystone of data analytics and the focal point of this textbook. Clear and intuitive explanations of the mathematical and statistical foundations make the algorithms transparent. But

Machine Learning Algorithms Popular algo

📁 Machine Learning Algorithms Popular algorithms for data science and machine learning

✍ Giuseppe Bonaccorso 📂 Library 📅 2018 🏛 Packt 🌐 English

Machine learning has gained tremendous popularity for its powerful and fast predictions with large datasets. However, the true forces behind its powerful output are the complex algorithms involving substantial statistical analysis that churn large datasets and generate substantial insight. This s

Graph Algorithms for Data Science (MEAP

📁 Graph Algorithms for Data Science (MEAP v7)

✍ Tomaž Bratanič 📂 Library 📅 2023 🏛 Manning Publications 🌐 English

Graphs are the natural way to understand connected data. This book explores the most important algorithms and techniques for graphs in data science, with practical examples and concrete advice on implementation and deployment. In Graph Algorithms for Data Science you will learn Labeled-property

Graph Algorithms for Data Science MEAP V

📁 Graph Algorithms for Data Science MEAP V08

✍ Tomaz Bratanic 📂 Library 📅 2023 🏛 Manning Publications 🌐 English

Graphs are the natural way to understand connected data. This book explores the most important algorithms and techniques for graphs in data science, with practical examples and concrete advice on implementation and deployment. In Graph Algorithms for Data Science you will learn: Labeled-property

Data Science Algorithms in a Week: Top 7

📁 Data Science Algorithms in a Week: Top 7 algorithms for computing, data analysis, and machine learning

✍ David Natingga 📂 Library 📅 2017 🏛 Packt Publishing 🌐 English

<h4>Key Features</h4><ul><li>Get to know seven algorithms for your data science needs in this concise, insightful guide</li><li>Ensure you’re confident in the basics by learning when and where to use various data science algorithms</li><li>Learn to use machine learning algorithms in a period of just