Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Data-Science
Projects and awesome list for all Data Science fields
https://github.com/ElizaLo/Data-Science
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Companies Blogs
- The Netflix Tech Blog
- The Netflix Tech Blog
- The Netflix Tech Blog
- The Netflix Tech Blog
- The Netflix Tech Blog
- Software Engineering Blogs
- AWS Machine Learning Blog
- The Netflix Tech Blog
- Uber Engineering
- The Stanford AI Lab Blog
- The Netflix Tech Blog
- The Netflix Tech Blog
- The Netflix Tech Blog
- The Netflix Tech Blog
- The Netflix Tech Blog
- The Netflix Tech Blog
- The Netflix Tech Blog
- The Netflix Tech Blog
- The Netflix Tech Blog
- The Netflix Tech Blog
- The Netflix Tech Blog
- The Netflix Tech Blog
- The Netflix Tech Blog
- The Netflix Tech Blog
- The Netflix Tech Blog
- The Netflix Tech Blog
- The Netflix Tech Blog
- The Netflix Tech Blog
- The Netflix Tech Blog
- The Netflix Tech Blog
- The Netflix Tech Blog
- The Netflix Tech Blog
- The Netflix Tech Blog
- The Netflix Tech Blog
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Other Blogs
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🔢 Time Series
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:octocat: GitHub Repositories
- Hands-On Machine Learning with Scikit-Learn and TensorFlow
- Awesome Artificial Intelligence (AI)
- Project Based Learning
- ODSC COMMUNITY
- Data Science fwdays'19
- Webinars 2020, Computer Science UCU
- Eastern European Machine Learning Summer School, 2020 (Deep Learning and Reinforcement Learning
- Program
- Christopher Manning
- Sebastian Ruder
- Prof. Sam Bowman
- Lex Fridman Podcast | Artificial Intelligence (AI)
- Machine Learning, Andrew Ng, Stanford
- Data Science for Beginners - A Curriculum - week, 20-lesson curriculum all about Data Science. Each lesson includes pre-lesson and post-lesson quizzes, written instructions to complete the lesson, a solution, and an assignment. Our project-based pedagogy allows you to learn while building, a proven way for new skills to 'stick'.|
- Machine Learning for Beginners - A Curriculum - week, 26-lesson curriculum all about Machine Learning. In this curriculum, you will learn about what is sometimes called classic machine learning, using primarily Scikit-learn as a library and avoiding deep learning, which is covered in our forthcoming 'AI for Beginners' curriculum. |
- start-machine-learning - to-date with the latest news and state-of-the-art techniques|
- Data Science Specialization, John Hopkins Coursera - Blogging through the Data Science Specialization, John Hopkins Coursera](https://medium.com/@GalarnykMichael/blogging-through-the-data-science-specialization-john-hopkins-coursera-2ea63fb99ab5#.ckgc10iif)|
- Python Data Science Handbook
- Machine Learning Notebooks
- ml-surveys
- awesome-analytics-engineering
- Complete-Life-Cycle-of-a-Data-Science-Project
- Data Science Learning Path
- papers-with-video
- Practical Sessions 2020
- Awesome Data Podcasts
- 2021: A Year Full of Amazing AI papers- A Review / 📌 [work in progress... - depth article, and code. [work in progress]|
- Data Science fwdays'19
- Webinars 2020, Computer Science UCU
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📰 Articles
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🫂 Communities
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🔹 Telegram Chanels
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Programming Languages
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machine-learning
10
python
10
data-science
8
deep-learning
7
linear-algebra
3
artificial-intelligence
3
jupyter-notebook
3
scikit-learn
3
reinforcement-learning
3
mathematics
2
numpy
2
pytorch
2
tensorflow
2
data-analysis
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pandas
2
machinelearning
2
ml
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r
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nlp
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computer-vision
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neural-networks
2
tutorial
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computer-science
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ai
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2
unsupervised-learning
2
scikit-learn-python
1
machine-intelligence
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cheat-sheets
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intelligent-systems
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course
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coursera
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coursera-machine-learning
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learn-to-code
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intelligent-machines
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read-articles
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engineering-blogs
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education
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lists
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data-visualization
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