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
- OpenEDU
- MIT 18.S096 Topics in Mathematics w Applications in Finance
- Специализация Наука о данных для руководителей
- Machine Learning Foundations
- DeepLearning.AI
- DeepLearning.AI
- DeepLearning.AI
- 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
- Hands-On Machine Learning with Scikit-Learn and TensorFlow
- Machine Learning Notebooks
- Awesome Artificial Intelligence (AI)
- ml-surveys
- awesome-analytics-engineering
- Complete-Life-Cycle-of-a-Data-Science-Project
- Data Science Learning Path
- Project Based Learning
- papers-with-video
- 2021: A Year Full of Amazing AI papers- A Review / 📌 [work in progress... - depth article, and code. [work in progress]|
- ODSC COMMUNITY
- Data Science fwdays'19
- Webinars 2020, Computer Science UCU
- Eastern European Machine Learning Summer School, 2020 (Deep Learning and Reinforcement Learning
- Program
- Practical Sessions 2020
- Christopher Manning
- Sebastian Ruder
- Prof. Sam Bowman
- Lex Fridman Podcast | Artificial Intelligence (AI)
- Machine Learning, Andrew Ng, Stanford
- Awesome Data Podcasts
- Software Engineering Blogs
- Amazon | Science
- AWS Machine Learning Blog
- Meta AI
- The Netflix Tech Blog
- Uber Engineering
- NVIDIA Developer
- The Stanford AI Lab Blog
- Towards AI
- Tutorials
- Data Notes
- Louis Bouchard | @What's AI - Making AI Accessible
- Michael Galarnyk
- Data Science Dojo
- DeepLearning.AI
- AI & ML дайджест от DOU
- Data Science и Machine Learning: с чего начать и где учиться
- Data Science
- Locally Optimistic
- Deepchecks Community
- DataScience Digest
Programming Languages
Keywords
machine-learning
10
python
10
data-science
8
deep-learning
7
jupyter-notebook
3
linear-algebra
3
artificial-intelligence
3
scikit-learn
3
reinforcement-learning
3
unsupervised-learning
2
computer-vision
2
machinelearning
2
ml
2
r
2
nlp
2
tutorial
2
neural-networks
2
pandas
2
data-analysis
2
tensorflow
2
pytorch
2
ai
2
numpy
2
mathematics
2
computer-science
2
neural-network
2
probability-statistics
1
read-articles
1
tutorials
1
youtube
1
youtube-playlist
1
jhu-coursera
1
john-hopkins-coursera
1
stanford
1
distributed
1
matplotlib
1
calculus
1
data-structures
1
probability
1
statistics
1
data-visualization
1
education
1
machine-learning-algorithms
1
machinelearning-python
1
scikit-learn-python
1
cheat-sheets
1
course
1
coursera
1
coursera-machine-learning
1
learn-to-code
1