Principles of Data Science, 3rd Edition: A beginner’s guide to essential math and coding skills for data fluency and machine learning
- Length: 326 pages
- Publication Date: 2024-01-31
Machine Learning Infrastructure and Best Practices for Software Engineers: Take your machine learning software from a prototype to a fully fledged software system
- Length: 346 pages
- Publication Date: 2024-01-31
Active Machine Learning with Python: Refine and elevate data quality over quantity with active learning
- Length: 176 pages
- Publication Date: 2024-03-29
Data Labeling in Machine Learning with Python: Explore modern ways to prepare labeled data for training and fine-tuning ML and generative AI models
- Length: 398 pages
- Publication Date: 2024-01-31
Data-Centric Machine Learning with Python: The ultimate guide to engineering and deploying high-quality models based on good data
- Length: 378 pages
- Publication Date: 2024-02-29
Math and Architectures of Deep Learning
- Length: 552 pages
- Publication Date: 2024-03-26
Learning Google Cloud Vertex AI: Build, deploy, and manage machine learning models with Vertex AI
- Length: 346 pages
- Publication Date: 2023-08-28
Learn Python Generative AI: Journey from autoencoders to transformers to large language models
- Length: 348 pages
- Publication Date: 2024-02-01
Artificial Intelligence for Robotics, 2nd Edition: Build intelligent robots using ROS 2, Python, OpenCV, and AI/ML techniques for real-world tasks
- Length: 344 pages
- Publication Date: 2024-03-29
Programming Machine Learning: Machine Learning Basics Concepts + Artificial Intelligence + Python Programming + Python Machine Learning
- Length: 451 pages
- Publication Date: 2024-03-13
MATLAB for Machine Learning – 2nd Edition: Unlock the power of deep learning for swift and enhanced results
- Length: 374 pages
- Publication Date: 2024-01-30
MLOps with Red Hat OpenShift: A cloud-native approach to machine learning operations
- Length: 238 pages
- Publication Date: 2024-01-31