Graph Algorithms for Data Science: With examples in Neo4j by Tomaž BrataničRequirements: .MP3 player, 830 mbOverview: Practical methods for analyzing your data with graphs, revealing hidden connections and new insights. Graphs are the natural way to represent and understand connected data. This book explores the most important algorithms and techniques for graphs in data science, […]
Graph Algorithms for Data Science: With examples in Neo4j by Tomaž BratanicRequirements: .PDF reader, 35.7 MBOverview: Practical methods for analyzing your data with graphs, revealing hidden connections and new insights. Graphs are the natural way to represent and understand connected data. This book explores the most important algorithms and techniques for graphs in data science, […]
Data Science: Theory, Algorithms, and Applications by Gyanendra K. Verma, Badal Soni, Salah Bourennane, Alexandre C. B. RamosRequirements: .ePUB, .PDF reader, 112 mbOverview: This book targets an audience with a basic understanding of deep learning, its architectures, and its application in the multimedia domain. Background in machine learning is helpful in exploring various aspects of […]
Data Science Algorithms in a Week:Top 7 algorithms for scientific computing, data analysis, and machine learning, 2nd Edition by Dávid NatinggaRequirements: .MOBI Reader 54 MBOverview: Machine learning applications are highly automated and self-modifying, and continue to improve over time with minimal human intervention, as they learn from the trained data. To address the complex nature […]
Data Science Algorithms in a Week by David NatinggaRequirements: Any ePUB Reader, 2mbOverview: Machine learning applications are highly automated and self-modifying, and they continue to improve over time with minimal human intervention as they learn with more data. To address the complex nature of various real-world data problems, specialized machine learning algorithms have been developed […]