Pocket Primer
17 total works
Features:
- Integrated coverage of CSS3, jQuery and other important JS toolkits
- Covers jQuery Mobile and HTML5 hybrid mobile apps
- Covers BackboneJS and Twitter Bootstrap
- Includes companion DVD with source code, tutorial videos, and 4-color graphics
This Pocket Primer is primarily for self-directed learners who want to learn Android programming and it serves as a starting point for deeper exploration of its numerous applications. Companion disc (also available for downloading from the publisher) with source code, images, and appendices.
Features:
- Contains latest material on Android VR, graphics/animation, apps, and features the new Google Pixel phone
- Includes companion files with all of the source code, appendices, and images from the book
- Provides coverage of the fundamental aspects of Android that are illustrated via code samples for versions 4.x through 7.x
- On the Companion Files:
- Source code samples
- All images from the text (including 4-color)
- Appendices
Features:
- Takes introductory concepts and commands in bash, and then demonstrates their uses in simple yet powerful shell scripts
- Contains a variety of code fragments and shell scripts for data scientists, data analysts, and other people who wantshell-based solutions to "clean" various types of text files
As part of the best-selling Pocket Primer series, this book is designed to introduce beginners to basic machine learning algorithms using TensorFlow 2. It is intended to be a fast-paced introduction to various “core” features of TensorFlow, with code samples that cover machine learning and TensorFlow basics. A comprehensive appendix contains some Keras-based code samples and the underpinnings of MLPs, CNNs, RNNs, and LSTMs. The material in the chapters illustrates how to solve a variety of tasks after which you can do further reading to deepen your knowledge. Companion files with all of the code samples are available for downloading from the publisher by emailing proof of purchase to info@merclearning.com.
Features:
- Uses Python for code samples
- Covers TensorFlow 2 APIs and Datasets
- Includes a comprehensive appendix that covers Keras and advanced topics such as NLPs, MLPs, RNNs, LSTMs
- Features the companion files with all of the source code examples and figures (download from the publisher)
- Designed for readers relatively new to working in a bash environment
- Introduces readers to three powerful command line utilities that can be combined to create simple yet powerful shell scripts for performing a multitude of tasks