Kubeflow for Machine Learning: From Lab to Production
- Length: 264 pages
- Publication Date: 2020-11-03
Azure Databricks Cookbook: Accelerate and scale real-time analytics solutions using the Apache Spark-based analytics service
- Length: 452 pages
- Publication Date: 2021-09-17
Mastering Transformers: Build state-of-the-art models from scratch with advanced natural language processing techniques
- Length: 374 pages
- Publication Date: 2021-09-15
Data Processing with Optimus: Supercharge big data preparation tasks for analytics and machine learning with Optimus using Dask and PySpark
- Length: 300 pages
- Publication Date: 2021-09-03
Machine Learning for Data Streams: with Practical Examples in MOA
- Length: 288 pages
- Publication Date: 2018-03-02
Natural Language Processing Recipes: Unlocking Text Data with Machine Learning and Deep Learning Using Python, 2nd Edition
- Length: 309 pages
- Publication Date: 2021-09-12
Machine Learning Engineering with MLflow: Manage the end-to-end machine learning life cycle with MLflow
- Length: 248 pages
- Publication Date: 2021-08-27
State-of-the-Art Deep Learning Models in TensorFlow: Modern Machine Learning in the Google Colab Ecosystem
- Length: 398 pages
- Publication Date: 2021-09-16
Getting Started with Streamlit for Data Science: Create and deploy Streamlit web applications from scratch in Python
- Length: 282 pages
- Publication Date: 2021-08-20