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Deep Learning Cookbook: Practical Recipes to Get Started Quickly
Deep learning doesn’t have to be intimidating. Until recently, this machine-learning method required years of study, but with frameworks such as Keras and Tensorflow, software engineers without a background in machine learning can quickly enter the field. With the recipes in this cookbook, you’ll learn how to solve... | | Python Data Science Handbook: Essential Tools for Working with Data
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib,... | | Big Data Visualization
Learn effective tools and techniques to separate big data into manageable and logical components for efficient data visualization About This Book This unique guide teaches you how to visualize your cluttered, huge amounts of big data with ease It is rich with ample options and solid use cases for big data visualization, and is a must-have book... |
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Computational Physics: Problem Solving with Python
The use of computation and simulation has become an essential part of the scientific process. Being able to transform a theory into an algorithm requires significant theoretical insight, detailed physical and mathematical understanding, and a working level of competency in programming.
This upper-division text provides an ... | | Visual Models for Software Requirements (Best Practices (Microsoft))
Visual requirements models are one of the most effective ways to identify software
requirements. They help the analyst to ensure that all stakeholders—including
subject matter experts, business stakeholders, executives, and technical teams—understand
the proposed solution. Visualization keeps ... | | Graphing Data with R: An Introduction
It’s much easier to grasp complex data relationships with a graph than by scanning numbers in a spreadsheet. This introductory guide shows you how to use the R language to create a variety of useful graphs for visualizing and analyzing complex data for science, business, media, and many other fields. You’ll learn methods... |
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Probability and Statistics for Computer Scientists
Student-Friendly Coverage of Probability, Statistical Methods, Simulation, and Modeling Tools
Incorporating feedback from instructors and researchers who used the previous edition, Probability and Statistics for Computer Scientists, Second Edition helps students understand general methods of stochastic... | | OpenGL Data Visualization Cookbook
Over 35 hands-on recipes to create impressive, stunning visuals for a wide range of real-time, interactive applications using OpenGL
About This Book
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Get acquainted with a set of fundamental OpenGL primitives and concepts that enable users to create stunning visuals of arbitrarily complex 2D and 3D...
| | Organic Chemistry DemystifiedTake the unCONQUERability out of ORGANIC CHEMISTRY!
Now anyone can master organic chemistry -- without tears, unlimited time, or a Ph.D. In Organic Chemistry Demystified, organic chemist and experienced teacher Daniel Bloch provides an effective and painless way to learn or review organic chemistry, from the chemical... |
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