Difference between revisions of "Reading Material & Glossary"
m |
m |
||
| Line 8: | Line 8: | ||
* [http://www.connectedpapers.com/ Connected Papers] ... Explore connected papers in a visual graph | * [http://www.connectedpapers.com/ Connected Papers] ... Explore connected papers in a visual graph | ||
| − | * [http://distill.pub/ Distill] ...an academic journal | + | * [http://distill.pub/ Distill] ...an academic journal dedicated to human understanding |
* Nomenclature: | * Nomenclature: | ||
** [http://developers.google.com/machine-learning/glossary/ Machine Learning Glossary | Google] | ** [http://developers.google.com/machine-learning/glossary/ Machine Learning Glossary | Google] | ||
Revision as of 08:00, 20 August 2020
- Connected Papers ... Explore connected papers in a visual graph
- Distill ...an academic journal dedicated to human understanding
- Nomenclature:
- Courses & Certifications
- Python
- 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
