Difference between revisions of "Reading Material & Glossary"
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* [http://whitepapers.virtualprivatelibrary.net/Scholar.pdf Academic and Scholar Search Engines and Sources | Marcus P. Zillman - Virtual Private Library] | * [http://whitepapers.virtualprivatelibrary.net/Scholar.pdf Academic and Scholar Search Engines and Sources | Marcus P. Zillman - Virtual Private Library] | ||
* [http://github.com/THUNLP-MT/MT-Reading-List#10_must_reads Machine Translation Reading List | Tsinghua Natural Language Processing Group] | * [http://github.com/THUNLP-MT/MT-Reading-List#10_must_reads Machine Translation Reading List | Tsinghua Natural Language Processing Group] | ||
| − | * NLP: | + | * [[Natural Language Processing (NLP)]]: |
** [http://www.manning.com/books/taming-text Taming Text - How to Find, Organize, and Manipulate It | Grant S. Ingersoll, Thomas S. Morton, and Andrew L. Farris] | ** [http://www.manning.com/books/taming-text Taming Text - How to Find, Organize, and Manipulate It | Grant S. Ingersoll, Thomas S. Morton, and Andrew L. Farris] | ||
** [http://www.nltk.org/book_1ed/ Natural Language Processing with Python - Analyzing Text with the Natural Language Toolkit | Steven Bird, Ewan Klein, and Edward Loper] | ** [http://www.nltk.org/book_1ed/ Natural Language Processing with Python - Analyzing Text with the Natural Language Toolkit | Steven Bird, Ewan Klein, and Edward Loper] | ||
Revision as of 21:48, 5 April 2019
- Machine Learning Glossary | Google
- Glossary of Artificial Intelligence | Wikipedia
- Courses & Certifications
- AITopics | The Association for the Advancement of Artificial Intelligence (AAAI)
- Summarized Top 2018 Papers | Mariya Yao
- Reddit - Machine Learning Sub-reddit
- Arxiv Sanity Preserver to accelerate research
- DoD and ODNI/IARPA public search
- Academic and Scholar Search Engines and Sources | Marcus P. Zillman - Virtual Private Library
- Machine Translation Reading List | Tsinghua Natural Language Processing Group
- Natural Language Processing (NLP):
- Taming Text - How to Find, Organize, and Manipulate It | Grant S. Ingersoll, Thomas S. Morton, and Andrew L. Farris
- Natural Language Processing with Python - Analyzing Text with the Natural Language Toolkit | Steven Bird, Ewan Klein, and Edward Loper
- Foundations of Statistical Natural Language Processing | Chris Manning and Hinrich Schütze
- The Deep Learning AI Playbook: Strategy for Disruptive Artificial Intelligence | Carlos E Perez
- Artificial Intuition: The Improbable Deep Learning Revolution | Carlos E Perez
- Top 8 Free Must-Read Books on Deep Learning
- 10 Free Must-Read Books for Machine Learning and Data Science
- Grasp Mathematical Foundations on Machine Learning and Data Science
- Neural Network Zoo | Fjodor Van Veen
- TensorFlow Programmer's Guide
- Programming Collective Intelligence: Building Smart Web 2.0 Applications | Toby Segaran
