Difference between revisions of "Reading Material & Glossary"
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* [http://en.wikipedia.org/wiki/Glossary_of_artificial_intelligence Glossary of Artificial Intelligence | Wikipedia] | * [http://en.wikipedia.org/wiki/Glossary_of_artificial_intelligence Glossary of Artificial Intelligence | Wikipedia] | ||
* [[Courses & Certifications]] | * [[Courses & Certifications]] | ||
| − | * [http://tanthiamhuat.files.wordpress.com/2018/04/pythondatasciencehandbook.pdf Python Data Science Handbook | Jake VanderPlas] | + | * [http://colab.research.google.com/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/Index.ipynb Python Data Science Handbook (Jupyter notebook) | Jake VanderPlas - O-Reilly] |
| + | ** [http://tanthiamhuat.files.wordpress.com/2018/04/pythondatasciencehandbook.pdf Python Data Science Handbook (PDF) | Jake VanderPlas] | ||
* [http://aitopics.org/search AITopics | The Association for the Advancement of Artificial Intelligence (AAAI)] | * [http://aitopics.org/search AITopics | The Association for the Advancement of Artificial Intelligence (AAAI)] | ||
* [http://www.topbots.com/most-important-ai-research-papers-2018/ Summarized Top 2018 Papers | Mariya Yao] | * [http://www.topbots.com/most-important-ai-research-papers-2018/ Summarized Top 2018 Papers | Mariya Yao] | ||
Revision as of 07:09, 18 July 2019
- 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
- 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
