This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re comfortable with Python and its libraries, including pandas and scikit-learn, you’ll be able to address specific problems such as loading data, handling text or...

• Learn the secrets of creating AAA quality shaders without writing long algorithms
• Master shader programming through easy-to-follow examples
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• Explore the latest features of Java 11 to implement efficient and reliable code
• Develop memory-efficient applications, understanding new garbage collection in Java 11
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• Leverage the power of Raspberry Pi 3 using Python programming
• Create 3D games, build neural network modules, and interface with your own circuits
• Packed with clear,...

• Hands-on recipes to advance your web scraping skills to expert level
• Address complex and challenging web scraping tasks using Python
• Understand the web...

• Practical solutions to your common programming problems with Kotlin 1.1
• Leverage the functional power of Kotlin to ease your Android application...

• Build computer vision applications with OpenCV functionality via Python API
• Get to grips with image processing, multiple...

• Simplified and to-the-point theory and practical recipes to deploy and manage vSphere 6.5
• Discover the best ways to deploy stateless and stateful ESXi hosts and upgrade them
• Storage and...

• Perform complex bioinformatics analysis using the most important Python libraries and applications
• Implement next-generation sequencing,...

You'll explore a wide range of topics, all neatly organized according to...

• Vegan food should be well balanced and varied. In the cookbook you will find more than 90 vegan recipes of cereals, salads, soups, main dishes, desserts, sauces...