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 – 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/