Applied Natural Language Processing with Python Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing /
Learn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation. Along the way, you will learn the skills to implement these methods in larger infrastructures to replace existing code...
Main Author: | Beysolow II, Taweh (Author, http://id.loc.gov/vocabulary/relators/aut) |
---|---|
Corporate Author: | SpringerLink (Online service) |
Format: | Electronic eBook |
Language: | English |
Published: |
Berkeley, CA :
Apress : Imprint: Apress,
2018.
|
Edition: | 1st ed. 2018. |
Subjects: | |
Online Access: | Full Text via HEAL-Link |
Similar Items
-
Applied Reinforcement Learning with Python With OpenAI Gym, Tensorflow, and Keras /
by: Beysolow II, Taweh, et al.
Published: (2019) -
Machine Learning with PySpark With Natural Language Processing and Recommender Systems /
by: Singh, Pramod, et al.
Published: (2019) -
Advanced Data Analytics Using Python With Machine Learning, Deep Learning and NLP Examples /
by: Mukhopadhyay, Sayan, et al.
Published: (2018) -
Data Analysis and Visualization Using Python Analyze Data to Create Visualizations for BI Systems /
by: Embarak, Dr. Ossama, et al.
Published: (2018) -
Practical Data Science with Python 3 Synthesizing Actionable Insights from Data /
by: Varga, Ervin, et al.
Published: (2019)