Learn IT - Books tags graph

Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models

Packt Publishing, 2018

Explore and master the most important algorithms for solving complex machine learning problems.

Key Features

Discover high-performing machine learning algorithms and understand how they work in depth

One-stop solution to mastering supervised, unsupervised, and...

Python for Graph and Network Analysis (Advanced Information and Knowledge Processing)

Springer, 2017

This research monograph provides the means to learn the theory and practice of graph and network analysis using the Python programming language. The social network analysis techniques, included, will help readers to efficiently analyze social data from Twitter, Facebook, LiveJournal, GitHub and many others at three levels of depth: ego,...

Unity 2018 Cookbook: Over 160 recipes to take your 2D and 3D game development to the next level, 3rd Edition

Packt Publishing, 2018

Develop quality game components and solve common gameplay problems with various game design patterns

Key Features

Become proficient at traditional 2D and 3D games and VR development

Build amazing interactive interfaces with Unity's UI system

Develop...

Data Structures and Algorithmic Thinking with Go: Data Structure and Algorithmic Puzzles

Independent Publishers Group, 2020

Peeling Data Structures and Algorithms:

The sample chapter should give you a very good idea of the quality and style of our book. In particular, be sure you are comfortable with the level and with our GoLang coding style. This book focuses on giving solutions for complex problems in data structures and...

Topological Algorithms for Digital Image Processing (Machine Intelligence and Pattern Recognition)

Elsevier Limited, 1996

Objects in three dimensions, and their two-dimensional images, are approximated digitally by sets of voxels ("volume elements") or pixels ("picture elements"), respectively. Digital geometry is the study of geometric properties of digitized objects (or digitized images of objects); it deals both with the definitions of such...

Introducing Data Science: Big Data, Machine Learning, and more, using Python tools

Manning Publications, 2016

Summary

Introducing Data Science teaches you how to accomplish the fundamental tasks that occupy data scientists. Using the Python language and common Python libraries, you'll experience firsthand the challenges of dealing with data at scale and gain a solid foundation in data science.

...

Computational Linguistics and Talking Robots: Processing Content in Database Semantics

Springer, 2011

The practical task of building a talking robot requires a theory of how natural language communication works. Conversely, the best way to computationally verify a theory of natural language communication is to demonstrate its functioning concretely in the form of a talking robot, the epitome of human–machine communication. To...

Drawing Graphs: Methods and Models (Lecture Notes in Computer Science)

Springer, 2001

Graph drawing comprises all aspects of visualizing structural relations between objects. The range of topics dealt with extends from graph theory, graph algorithms, geometry, and topology to visual languages, visual perception, and information visualization, and to computer-human interaction and graphics design. This monograph gives a systematic...

The Optimal Implementation of Functional Programming Languages (Cambridge Tracts in Theoretical Computer Science)

Cambridge University Press, 1999

All traditional implementation techniques for functional languages fail to avoid useless repetition of work. They are not "optimal" in their implementation of sharing, often causing a catastrophic, exponential explosion in reduction time. Optimal reduction is an innovative graph reduction technique for functional expressions, introduced...

Practical Graph Analytics with Apache Giraph

Apress, 2015

Practical Graph Analytics with Apache Giraph helps you build data mining and machine learning applications using the Apache Foundation’s Giraph framework for graph processing. This is the same framework as used by Facebook, Google, and other social media analytics operations to derive business value from vast amounts of...

Graph Theory: A Problem Oriented Approach (Mathematical Association of America Textbooks)

The Mathematical Association of America, 2008

Graph Theory presents a natural, reader-friendly way to learn some of the essential ideas of graph theory starting from first principles. The format is similar to the companion text, Combinatorics: A Problem Oriented Approach also by Daniel A. Marcus, in that it combines the features of a textbook with those of a problem...

Excel 2010 Financials Cookbook

Packt Publishing, 2011

Excel is an extremely powerful tool that is made to handle many varieties of data. Regardless of the job you do, chances are you have had to use Excel at some time in your career, or you will. Regardless of your reason for using Excel, many users never realize the full potential of the software, relegating Excel to not much more than a list...

Result Page: 30 29 28 27 26 25 24 23 22 21 20 19 18 17