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 Social Network Analysis for Startups: Finding connections on the social web
Does your startup rely on social network analysis? This concise guide provides a statistical framework to help you identify social processes hidden among the tons of data now available.
Social network analysis (SNA) is a discipline that predates Facebook and Twitter by 30 years. Through expert SNA researchers, you'll... |  |  The Creative Digital Darkroom
This tutorial takes photographers beyond the quick tips and gimmicky effects of many digital photography books. Author Katrin Eismann -- an internationally acclaimed artist, bestselling author, and gifted educator -- offers high-profile work, including her own, as examples for teaching photographers how to use the digital medium to... |  |  Linear Systems (Control Systems, Robotics and Manufacturing)
Linear systems have all the necessary elements (modeling, identification, analysis and control), from an educational point of view, to help us understand the discipline of automation and apply it efficiently. This book is progressive and organized in such a way that different levels of readership are possible. It is addressed both to... |
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 Software Engineering: A Methodical Approach
This text provides a comprehensive, but concise introduction to software engineering. It adopts a methodical approach to solving software engineering problems proven over several years of teaching, with outstanding results.
The book covers concepts, principles, design, construction, implementation, and management issues of... |  |  The Oxford Handbook of Philosophy of Physics (Oxford Handbooks)
This Oxford Handbook provides an overview of many of the topics that currently engage philosophers of physics. It surveys new issues and the problems that have become a focus of attention in recent years. It also provides up-to-date discussions of the still very important problems that dominated the field in the past.
... |  |  Data Science from Scratch: First Principles with Python
Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from... |
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