Applied Machine Learning Explainability Techniques: Make ML models explainable and trustworthy for practical applications using LIME, SHAP, and more
- Length: 306 pages
- Publication Date: 2022-07-29
Hands-on AIOps: Best Practices Guide to Implementing AIOps
- Length: 266 pages
- Publication Date: 2022-08-21
Machine Learning on Geographical Data Using Python: Introduction into Geodata with Applications and Use Cases
- Length: 327 pages
- Publication Date: 2022-08-31
Essentials of Deep Learning and AI: Experience Unsupervised Learning, Autoencoders, Feature Engineering, and Time Series Analysis with TensorFlow, Keras, and scikit-learn
- Length: 394 pages
- Publication Date: 2021-11-25
Computer Vision Projects with PyTorch: Design and Develop Production-Grade Models
- Length: 362 pages
- Publication Date: 2022-08-22
The StatQuest Illustrated Guide to Machine Learning!!!: Master the concepts, one full-color picture at a time, from the basics all the way to neural networks. BAM!
- Length: 306 pages
- Publication Date: 2022-07-14
Python Text Mining: Perform Text Processing, Word Embedding, Text Classification and Machine Translation
- Length: 320 pages
- Publication Date: 2022-03-26
Machine Learning for Streaming Data with Python: Rapidly build practical online machine learning solutions using River and other top key frameworks
- Length: 258 pages
- Publication Date: 2022-07-15
Practical Deep Learning at Scale with MLflow: Bridge the gap between offline experimentation and online production
- Length: 288 pages
- Publication Date: 2022-07-08
UiPath Associate Certification Guide: The go-to guide to passing the Associate certification exam with the help of mock tests and quizzes
- Length: 558 pages
- Publication Date: 2022-06-09