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The Art of R Programming: A Tour of Statistical Software Design
R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly.
... | | R and Data Mining: Examples and Case Studies
This book guides R users into data mining and helps data miners who use R in their work. It provides a how-to method using R for data mining applications from academia to industry. It
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Presents an introduction into using R for data mining applications, covering most popular data mining techniques
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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... |
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Python Data Analysis
Key Features
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Find, manipulate, and analyze your data using the Python 3.5 libraries
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Perform advanced, high-performance linear algebra and mathematical calculations with clean and efficient Python code
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An easy-to-follow guide with realistic examples that are frequently used in real-world data
... | | Python Machine Learning Case Studies: Five Case Studies for the Data Scientist
Embrace machine learning approaches and Python to enable automatic rendering of rich insights and solve business problems. The book uses a hands-on case study-based approach to crack real-world applications to which machine learning concepts can be applied. These smarter machines will enable your business processes to achieve efficiencies on... | | Scientific Computing with Python 3
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Your ultimate resource for getting up and running with Python numerical computations
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Explore numerical computing and mathematical libraries using Python 3.x code with SciPy and NumPy modules
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A hands-on guide to implementing mathematics with Python, with complete...
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Blockchain Basics: A Non-Technical Introduction in 25 Steps
In 25 concise steps, you will learn the basics of blockchain technology. No mathematical formulas, program code, or computer science jargon are used. No previous knowledge in computer science, mathematics, programming, or cryptography is required. Terminology is explained through pictures, analogies, and metaphors.
This book... | | | | iOS Application Security: The Definitive Guide for Hackers and Developers
Eliminating security holes in iOS apps is critical for any developer who wants to protect their users from the bad guys. In iOS Application Security, mobile security expert David Thiel reveals common iOS coding mistakes that create serious security problems and shows you how to find and fix them.
After a crash course ... |
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