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 Python Machine Learning Cookbook
100 recipes that teach you how to perform various machine learning tasks in the real world
About This Book
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Understand which algorithms to use in a given context with the help of this exciting recipe-based guide
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Learn about perceptrons and see how they are used to build neural...
| | Python for Data Science For Dummies (For Dummies (Computer/Tech))
Unleash the power of Python for your data analysis projectswith For Dummies!
Python is the preferred programming language for data scientistsand combines the best features of Matlab, Mathematica, and R intolibraries specific to data analysis and visualization. Pythonfor Data Science For Dummies shows you how to... | | Kernel Smoothing: Principles, Methods and Applications
Comprehensive theoretical overview of kernel smoothing methods with motivating examples
Kernel smoothing is a flexible nonparametric curve estimation method that is applicable when parametric descriptions of the data are not sufficiently adequate. This book explores theory and methods of kernel smoothing in a variety of... |
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| | Using R for Data Management, Statistical Analysis, and Graphics
Quick and Easy Access to Key Elements of Documentation
Includes worked examples across a wide variety of applications, tasks, and graphics
Using R for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in R, without having to... | | Modern Statistical Methods for Astronomy: With R Applications
Modern astronomical research is beset with a vast range of statistical challenges, ranging from reducing data from megadatasets to characterizing an amazing variety of variable celestial objects or testing astrophysical theory. Linking astronomy to the world of modern statistics, this volume is a unique resource, introducing astronomers to... |
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Excel for Chemists, with CD-ROM: A Comprehensive Guide
Reviews from previous editions:
"Excel for Chemists should be part of any academiclibrary offering courses and programs in Chemistry."
—Choice
"I highly recommend the book; treat yourself to it; assign it toa class; give it as a gift."
—The... | | TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning
Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how to design systems capable of detecting objects... | | |
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Java: Data Science Made Easy
Data collection, processing, analysis, and more
About This Book
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Your entry ticket to the world of data science with the stability and power of Java
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Explore, analyse, and visualize your data effectively using easy-to-follow examples
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A highly practical course covering a broad...
| | Network Security Through Data Analysis: From Data to Action
Traditional intrusion detection and logfile analysis are no longer enough to protect today’s complex networks. In the updated second edition of this practical guide, security researcher Michael Collins shows InfoSec personnel the latest techniques and tools for collecting and analyzing network traffic datasets. You’ll... | | R For Dummies
Master the programming language of choice among statisticians and data analysts worldwide
Coming to grips with R can be tough, even for seasoned statisticians and data analysts. Enter R For Dummies, the quick, easy way to master all the R you'll ever need. Requiring no prior programming experience and packed with... |
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