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, […]
Filterworld: How Algorithms Flattened Culture by Kyle ChaykaRequirements: .ePUB reader, 6 MbOverview: A MOST ANTICIPATED BOOK • From New Yorker staff writer and author of The Longing for Less Kyle Chayka comes a timely history and investigation of a world ruled by algorithms, which determine the shape of culture itself. “Necessary reading for anyone who […]
Mobile Agents: Control Algorithms by Joachim BaumannRequirements: .PDF reader, 1 MBOverview: In this monograph, Joachim Baumann provides in-depth coverage of essential research issues; namely, mechanisms for locating and terminating mobile agents and for orphan detection in a mobile agent system. The reader will gain insights into the design and implementation of three control mechanisms for […]
Machine Learning Algorithms Using Scikit and TensorFlow Environments by Puvvadi Baby Maruthi, Smrity Prasad, Amit Kumar TyagiRequirements: .PDF reader, 14.2 MBOverview: Machine Learning is able to solve real-time problems. It has several algorithms such as classification, clustering, and more. To learn these essential algorithms, we require tools like Scikit and TensorFlow. Machine Learning Algorithms Using […]
The Art of Randomness: Randomized Algorithms in the Real World by Ronald T. KneuselRequirements: .ePUB reader, 27.4 MBOverview: Harness the power of randomness (and Python code) to solve real-world problems in fun, hands-on experiments—from simulating evolution to encrypting messages to making Machine Learning algorithms! The Art of Randomness is a hands-on guide to mastering the […]