Essential PySpark for Scalable Data Analytics: A beginner’s guide to harnessing the power and ease of PySpark 3
- Length: 322 pages
- Publication Date: 2021-10-29
IBM Cloud Pak for Data: An enterprise platform to operationalize data, analytics, and AI
- Length: 336 pages
- Publication Date: 2021-11-24
Data Science Solutions with Python: Fast and Scalable Models Using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn
- Length: 135 pages
- Publication Date: 2021-11-09
Web App Development and Real-Time Web Analytics with Python: Develop and Integrate Machine Learning Algorithms into Web Apps
- Length: 241 pages
- Publication Date: 2021-12-05
Beginning Apache Spark 3: With DataFrame, Spark SQL, Structured Streaming, and Spark Machine Learning Library, 2nd Edition
- Length: 455 pages
- Publication Date: 2021-11-08
Artificial Neural Networks with Java: Tools for Building Neural Network Applications, 2nd Edition
- Length: 649 pages
- Publication Date: 2021-11-06
Conversational AI with Rasa: Build, test, and deploy AI-powered, enterprise-grade virtual assistants and chatbots
- Length: 264 pages
- Publication Date: 2021-10-08
Practical Data Science with Python: Learn tools and techniques from hands-on examples to extract insights from data
- Length: 620 pages
- Publication Date: 2021-09-30
Deep Learning with fastai Cookbook: Leverage the easy-to-use fastai framework to unlock the power of deep learning
- Length: 340 pages
- Publication Date: 2021-09-24