Deep Learning for Genomics: Data-driven approaches for genomics applications in life sciences and biotechnology
- Length: 270 pages
- Publication Date: 2022-11-11
Applied Machine Learning and AI for Engineers: Solve Business Problems That Can’t Be Solved Algorithmically
by Jeff Prosise
- Length: 425 pages
- Publication Date: 2022-12-20
Object Detection with Deep Learning Models: Principles and Applications
- Length: 266 pages
- Publication Date: 2022-11-03
Deep Learning In Biology And Medicine
- Length: 332 pages
- Publication Date: 2022-01-19
Advances In Pattern Recognition And Artificial Intelligence
- Length: 276 pages
- Publication Date: 2021-11-17
Microsoft Azure AI: A Beginner’s Guide: Explore Azure Applied AI Services, Azure Cognitive Services and Azure Machine Learning with Practical Illustrations
- Length: 256 pages
- Publication Date: 2022-04-21
Practical Full Stack Machine Learning: A Guide to Build Reliable, Reusable, and Production-Ready Full Stack ML Solutions
by Alok Kumar
- Length: 422 pages
- Publication Date: 2021-11-26
Beginning with Deep Learning Using TensorFlow: A Beginners Guide to TensorFlow and Keras for Practicing Deep Learning Principles and Applications
- Length: 286 pages
- Publication Date: 2022-02-09
Building Smart Robots Using ROS: Design, Build, Simulate, Prototype and Control Smart Robots Using ROS, Machine Learning and React Native Platform
- Length: 222 pages
- Publication Date: 2022-03-24
Optical Switching: Device Technology and Applications in Networks
- Length: 384 pages
- Publication Date: 2022-08-16
Random Matrix Methods for Machine Learning
- Length: 408 pages
- Publication Date: 2022-10-31