The classic book on a major modern theory
As a Linux-based operating system designed for mobile devices, the Android OS allows programs to run on all Android devices and appear free in the Android Market. Whether you're a beginner programmer eager to create mobile applications or you're Android-savvy and looking to submit your apps to the Android Market, this compilation of eight minibooks takes you through the ins and outs of programming for Android phones. Java expert Barry Burd walks you through Android programming basics, shares techniques for developing great Android applications, reviews Android hardware, and much more.
Start developing applications for the Android OS today with the expert advice in Android Application Development All-in-One For Dummies.
Machine learning is eating the software world, and now deep learning is extending machine learning. Understand and work at the cutting edge of machine learning, neural networks, and deep learning with this second edition of Sebastian Raschka's bestselling book, Python Machine Learning. Thoroughly updated using the latest Python open source libraries, this book offers the practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis.
Fully extended and modernized, Python Machine Learning Second Edition now includes the popular TensorFlow deep learning library. The scikit-learn code has also been fully updated to include recent improvements and additions to this versatile machine learning library.
Sebastian Raschka and Vahid Mirjalili's unique insight and expertise introduce you to machine learning and deep learning algorithms from scratch, and show you how to apply them to practical industry challenges using realistic and interesting examples. By the end of the book, you'll be ready to meet the new data analysis opportunities in today's world.
If you've read the first edition of this book, you'll be delighted to find a new balance of classical ideas and modern insights into machine learning. Every chapter has been critically updated, and there are new chapters on key technologies. You'll be able to learn and work with TensorFlow more deeply than ever before, and get essential coverage of the Keras neural network library, along with the most recent updates to scikit-learn.
Your guide to planning and executing a complete mobile web strategy
Revisit your approach to the mobile webâand deliver effective solutions that reach customers and clients on a variety of mobile devices. In this practical guide, web development luminary Dino Esposito shows you how to develop a solid mobile strategy for the enterprise, starting with an effective mobile website. Youâll receive essential architectural and implementation guidance, as well as mobile-specific design patterns for building cross-platform and native applications.
Discover how to:
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