This picture originally posted here covers the following topics:
- Basic stack
- Newer packages
- Integrated platforms
- Visualization
- Data formats
- MapReduce
- Glue
- GPU
- Parallel
- Efficiency
- Packages
To zoom in, view picture in the original article, or click on picture. The original article also provides a detailed listing of all the 100+ entities listed in the picture, broken down in categories and sub-categories, some items belonging to multiple categories. Anyone interested in creating a clickable link for each of these entities? For instance, entity 1.1 (in the original article) is numpy, while 4.1 is matplotlib.
Other interesting pictures worth checking out:
- R for Big Data in One Picture
- Data Science Summarized in One Picture
- Machine Learning Summarized in One Picture
Top DSC Resources
- Article: Difference between Machine Learning, Data Science, AI, Deep Learnin…
- Article: What is Data Science? 24 Fundamental Articles Answering This Question
- Article: Hitchhiker’s Guide to Data Science, Machine Learning, R, Python
- Tutorial: Data Science Cheat Sheet
- Tutorial: How to Become a Data Scientist – On Your Own
- Tutorial: State-of-the-Art Machine Learning Automation with HDT
- Categories: Data Science – Machine Learning – AI – IoT – Deep Learning
- Tools: Hadoop – DataViZ – Python – R – SQL – Excel
- Techniques: Clustering – Regression – SVM – Neural Nets – Ensembles – Decision Trees
- Links: Cheat Sheets – Books – Events – Webinars – Tutorials – Training – News – Jobs
- Links: Announcements – Salary Surveys – Data Sets – Certification – RSS Feeds – About Us
- Newsletter: Sign-up – Past Editions – Members-Only Section – Content Search – For Bloggers
- DSC on: Ning – Twitter – LinkedIn – Facebook – GooglePlus
Follow us on Twitter: @DataScienceCtrl | @AnalyticBridge
