Difference between revisions of "Reading Material & Glossary"
| Line 19: | Line 19: | ||
* [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] | ||
| + | * [http://www.kdnuggets.com/2020/03/24-best-free-books-understand-machine-learning.html 24 Best (and Free) Books To Understand Machine Learning | Reashikaa Verma - KDnuggets] | ||
* [[Natural Language Processing (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] | ||
Revision as of 08:37, 28 March 2020
- Machine Learning Glossary | Google
- Glossary of Artificial Intelligence | Wikipedia
- Courses & Certifications
- Python Data Science Handbook (Jupyter notebook) | Jake VanderPlas - O'Reilly
- 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
- 24 Best (and Free) Books To Understand Machine Learning | Reashikaa Verma - KDnuggets
- 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
