The Open Source resources in Data Engineering, Cloud Computing, Machine Learning, Data Science and applied AI topics, inspired by Data Science Masters.
- DSEtoolset
- Programming
- Math Stats Probability Algorithms
- Data Analysis
- Data Visualisation
- Cloud Computing
- Data Management Systems
- Big Data Analytics
- Data Engineering
- Building Web Applications
- Machine Learning
- DeepLearning
- NLP
- DSEprojects
Books:
Docker for Data Science by Joshua Cook Building Scalable and Extensible Data Infrastructure Around the Jupyter Notebook Server
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
ResourcesDSportals: https://medium.com/ https://towardsdatascience.com/machine-learning/home https://www.datasciencecentral.com/ https://www.kdnuggets.com/
EducationalResources: https://www.coursera.org/ https://eu.udacity.com/ https://www.datacamp.com/ https://cloudacademy.com https://www.edx.org/ http://www.deeplearningbook.org/