The Open Source resources in Data Engineering, Cloud Computing, Machine Learning, Data Science and Artificial Intelligence, inspired by Data Science Masters.
- Learning How to Learn
- DSE toolset
- Programming
- Applied Math Probability Statistics Algorithms
- Cloud Computing
- Data Analysis
- Data Visualisation
- Data Management Systems
- Data Engineering
- Docker Kubernetes DevOps
- Distributed Systems
- Building Web Applications and API
- Machine Learning
- Deep Learning & NLP
- Project Management
- DSE projects
Books:
Practical DevOps by Joakim Verona
Effective DevOps with AWS: Ship faster, scale better, and deliver incredible productivity Paperback โ July 31, 2017 by Nathaniel Felsen
Docker for Data Science by Joshua Cook
Data Wrangling with Python by Jacqueline Kazil, Katharine Jarmul
Introduction to Machine Learning with Python by Andreas C. Mueller , Sarah Guido
Python Machine Learning (2nd Ed.) Code Repository by Sebastian Raschka, Vahid Mirjalili
The Elements of Statistical Learning T.Hastie, R.Tibshirani, J.Friedman
Natural Language Processing with Python Analyzing Text with the Natural Language Toolkit by Steven Bird, Ewan Klein, and Edward Loper http://www.nltk.org/book/ http://www.nltk.org/book_1ed/
Deep Learning Book by Ian Goodfellow, Yoshua Bengio, Aaron Courville https://www.deeplearningbook.org/
Papers:
Paper by Tomas Mikolov Google http://papers.nips.cc/paper/5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf
Resources https://medium.com/ https://towardsdatascience.com/machine-learning/home https://www.datasciencecentral.com/ https://www.kdnuggets.com/
LearningCourses: https://www.coursera.org/ https://eu.udacity.com/ https://www.datacamp.com/ https://cloudacademy.com https://www.edx.org/ http://www.deeplearningbook.org/