• Leverage practical examples to manage containers efficiently
• Integrate with orchestration tools such as Kubernetes for controlled deployments
• Learn to implement best practices on improving...

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...

• Gain real-world contextualization using deep learning problems concerning research and application
• Get to know the best practices to improve and optimize your machine...

You’ll...

• Explore statistics and complex mathematics for data-intensive applications
• Discover new developments in EM algorithm, PCA, and bayesian...

• Learn PyTorch for implementing cutting-edge deep learning algorithms.
• Train your neural networks for higher speed and flexibility and learn how to implement them in various...

Get an easy introduction to reactive streams in Java to handle concurrency, data streams, and the propagation of change in today's applications. This compact book includes in-depth introductions to RxJava, Akka Streams, and Reactor, and integrates the latest related features from Java 9 and 11, as well as reactive streams...

Using a hands-on approach, you'll learn how to think in programming terms, how to use...

• Explore deep learning across computer vision, natural language processing (NLP), and image processing
• Discover best practices for the training of deep neural...

• Understand various services for designing serverless architecture
• Build CD pipelines using various cloud providers for your serverless applications
• ...

• Teaches you how to correctly structure and architect software using Swift
...