Machine Learning Security Principles: Keep data, networks, users, and applications safe from prying eyes
- Length: 450 pages
- Publication Date: 2022-12-30
Deep Learning: From Big Data to Artificial Intelligence with R
- Length: 544 pages
- Publication Date: 2022-11-22
Applied Machine Learning and AI for Engineers: Solve Business Problems That Can’t Be Solved Algorithmically
- Length: 425 pages
- Publication Date: 2022-12-20
Accelerate Deep Learning Workloads with Amazon SageMaker: Train, deploy, and scale deep learning models effectively using Amazon SageMaker
- Length: 278 pages
- Publication Date: 2022-10-28
AI at the Edge: Solving Real World Problems with Embedded Machine Learning
- Length: 450 pages
- Publication Date: 2023-01-24
Deep Learning with TensorFlow and Keras: Build and deploy supervised, unsupervised, deep, and reinforcement learning models, 3rd Edition
- Length: 698 pages
- Publication Date: 2022-10-06
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition
- Length: 850 pages
- Publication Date: 2022-11-15
Reliable Machine Learning: Applying SRE Principles to ML in Production
- Length: 408 pages
- Publication Date: 2022-11-01
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
Learn Emotion Analysis with R: Perform Sentiment Assessments, Extract Emotions, and Learn NLP Techniques Using R and Shiny
- Length: 552 pages
- Publication Date: 2021-06-02