JavaScript has finally grown up. Armed with a slew of new features, JavaScript now makes writing the code that powers your applications elegant, concise, and easy to understand. This book is a pragmatic guide to the new features introduced in...
Deep Learning with JavaScript: Neural networks in TensorFlow.js shows developers how they can bring DL technology to the web. Written by the main authors of the TensorFlow library, this book provides fascinating use cases and in-depth instruction...
Discover how all levels Artificial Intelligence (AI) can be present in the most unimaginable scenarios of ordinary lives. This book explores subjects such as neural networks, agents, multi agent systems, supervised learning, and unsupervised...
This book presents the complex topic of using computational intelligence for pattern recognition in a straightforward and applicable way, using Matlab to illustrate topics and concepts. The author covers computational intelligence tools like...
There are plenty of substantive open source software projects out there for data scientists, so why choose Python? After all, there is R. R is a robust and well-supported language written initially by statistician for statisticians.
The view is...
As an important enabler for changing people’s lives, advances in artificial intelligence (AI)-based applications and services are on the rise, despite being hindered by efficiency and latency issues. By focusing on deep learning as the most...