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 Cancer Gene Therapy (Contemporary Cancer Research)
A complete introduction and guide to the latest developments in cancer gene therapy-from bench to bedside. The authors comprehensively review the anticancer genes and gene delivery methods currently available for cancer gene therapy, including the transfer of genetic material into the cancer cells, stimulation of the immune system to... | | The Book of R: A First Course in Programming and Statistics
The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical... | | Practical Data Science with R
Summary
Practical Data Science with R lives up to its name. It explains basic principles without the theoretical mumbo-jumbo and jumps right to the real use cases you'll face as you collect, curate, and analyze the data crucial to the success of your business. You'll apply the R programming language... |
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Beginning R: An Introduction to Statistical Programming
Beginning R, Second Edition is a hands-on book showing how to use the R language, write and save R scripts, read in data files, and write custom statistical functions as well as use built in functions. This book shows the use of R in specific cases such as one-way ANOVA analysis, linear and logistic regression, data visualization,... | | 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... | | 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...
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| | 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... | | 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... |
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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... | | 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... | | |
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