Machine learning with PySpark with natural language processing and recommender systems
Pramod Singh
- karnataka, India : Apress, c2022.
- xviii, 219 p. ill. 25 cm
Reprint, 2024
Includes index
Master the new features in PySpark 3.1 to develop data-driven, intelligent applications. This updated edition covers topics ranging from building scalable machine learning models, to natural language processing, to recommender systems. Machine Learning with PySpark, Second Edition begins with the fundamentals of Apache Spark, including the latest updates to the framework.
9781484284339
Artificial intelligence. Robotics. Simulation; Graphics Computer architecture; Operating systems KI; Open Source Programming Python