Refine your programming techniques and approaches to become a more productive and creative Python programmer. This book explores the concepts and features that will improve not only your code but also your understanding of the Python community with insights and details about the Python philosophy.
Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples.
The book begins with introducing TensorFlow 2.0 framework and the major changes from its last release. Next, it focuses on building Supervised Machine Learning models using TensorFlow 2.0....
Discover the simple steps to implementing information security standards using ISO 27001, the most popular information security standard across the world. You’ll see how it offers best practices to be followed, including the roles of all the stakeholders at the time of security framework implementation,...
Innovations in hardware architecture, like hyper-threading or multicore processors, mean that parallel computing resources are available for inexpensive desktop computers. In only a few years, many standard software products will be based on concepts of parallel programming implemented on such hardware, and the range of applications will be...
Become the master player of data exploration by creating reproducible data processing pipelines, visualizations, and prediction models for your applications.
Key Features
Get up and running with the Jupyter ecosystem and some example datasets
