Machine-Learning
Awesome list (courses, books, videos etc.) and implementation of Machine Learning Algorithms
https://github.com/ElizaLo/Machine-Learning
Last synced: 6 days ago
JSON representation
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Conferences
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International
- The Data Science Conference
- Strata Data & AI Conference
- useR!
- ICCBR, International Conference on Case-Based Reasoning
- ICML, International Conference on Machine Learning
- Open Data Science Conference
- SIAM, Society for Industrial and Applied Mathematics
- AAMAS, International Conference on Autonomous Agents and Multi-Agent Systems
- CVPR, IEEE Conference on Computer Vision and Pattern Recognition
- IEEE, International Conference on Data Mining
- The Data Science Conference
- useR!
- Deep Learning Summit
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North America
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Ukraine
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🎓 Courses
- Course website
- Machine Learning Interviews
- :octocat: repo on github
- Course website
- Course website
- Course website
- Course website
- Course website
- Course Website
- Course website
- UCL Course on Reinforcement Learning by David Silver
- Course website
- Course Website
- Course Website
- Course website
- Course website
- Course website
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Deploy Machine Learning Model to Production
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Ukraine
- How to deploy Machine Learning models as a Microservice using FastAPI
- Почему Вы должны попробовать FastAPI?
- How to deploy Machine Learning models as a Microservice using FastAPI
- How to deploy Machine Learning models as a Microservice using FastAPI
- How to deploy Machine Learning models as a Microservice using FastAPI
- How to deploy Machine Learning models as a Microservice using FastAPI
- Почему Вы должны попробовать FastAPI?
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JavaScript-libraries for visualizing
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LaTeX
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Ukraine
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Linear Algebra
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Machine Learning Map
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Machine Learning System Design
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Ukraine
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Neural Networks
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Ukraine
- - книга по нейросетям и глубинному обучению ([:octocat: repo on github](https://github.com/mnielsen/neural-networks-and-deep-learning))
- - week course, students will learn to implement, train and debug their own neural networks and gain a detailed understanding of cutting-edge research in computer vision
- - то иначе охарактеризовать Джеффри Хинтона (человека, стоящего у истоков современных подходов к обучению нейросетей с помощью алгоритма обратного распространения ошибки) сложно. Курс у него получился отличный»
- - книга по нейросетям и глубинному обучению ([:octocat: repo on github](https://github.com/mnielsen/neural-networks-and-deep-learning))
- - week course, students will learn to implement, train and debug their own neural networks and gain a detailed understanding of cutting-edge research in computer vision
- - domain question answering;
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:octocat: GitHub Repositories
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Ukraine
- 100-best-github-machine-learning
- курса «Математика и Python» - recommendations.md)|
- Литература для поступления в ШАД
- Machine learning cheat sheet - soulmachine (2015)|
- Top-down learning path: Machine Learning for Software Engineers
- 100-Days-Of-ML-Code
- ml-course-msu
- trekhleb, homemade-machine-learning
- trekhleb, machine-learning-experiments
- trekhleb, machine-learning-octave
- Machine Learning Notebooks
- data-science-blogs
- Probabilistic Programming and Bayesian Methods for Hackers
- ml-surveys
- Machine_Learning_and_Deep_Learning
- MachineLearning_DeepLearning
- Machine Learning Guide
- 100-best-github-machine-learning
- Machine learning cheat sheet - soulmachine (2015)|
- Dive into Machine Learning - into-machine-learning)) with Python Jupyter notebook and scikit-learn|
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🔹 Online Courses
- Top 40 COMPLETELY FREE Coursera Artificial Intelligence and Computer Science Courses
- Бесплатные курсы для изучения навыков в области облачных технологий
- Бесплатные курсы для студентов
- Coursera Together: Free online learning during COVID-19
- Get Started with Data Science Foundations
- Machine Learning
- Машинное обучение - obucheniye)
- Machine Learning Foundations: A Case Study Approach
- Practical Predictive Analytics: Models and Methods
- Calculus: Single Variable Part 1
- Calculus One
- Эконометрика - недельный курс от ВШЭ
- Customer Analytics
- Introduction to Recommender Systems
- Machine Learning
- Machine Learning Engineer Nanodegree
- Data Analyst Nanodegree
- Intro to Machine Learning - to-end process of investigating data through a machine learning lens
- Data Science and Engineering with Spark
- Python Knowledge Map
- Data Science
- Machine Learning Crash Course with TensorFlow APIs - Google's fast-paced, practical introduction to machine learning
- Technical Writing Courses
- Grow.Google
- LearnDigital.WithGoogle
- DeepLearning.AI
- Эконометрика - недельный курс от ВШЭ
- Бесплатные курсы для изучения навыков в области облачных технологий
- Бесплатные курсы для студентов
- Get Started with Data Science Foundations
- Introduction to Computational Thinking and Data Science
- Бесплатные курсы для изучения навыков в области облачных технологий
- Qwiklabs
- Google Cloud Training
- Coursera Together: Free online learning during COVID-19
- Google Developers Training
- Cognitive Class.ai
- DeepLearning.AI
- Бесплатные курсы для студентов
- Get Started with Data Science Foundations
- Practical Predictive Analytics: Models and Methods
- Social Network Analysis
- Social and Economic Networks: Models and Analysis
- MITx: 6.041x Introduction to Probability - The Science of Uncertainty
- The Analytics Edge
- stepic.org
- Google Developers Training
- LearnDigital.WithGoogle
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📑 Open Datasets list
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📌 Other
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Ukraine
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Programming Languages
Categories
📚 Books
85
🔹 Online Courses
55
Awesome List
41
Conferences
33
Theory of Probability and Mathematical Statistics
33
🎓 Courses
32
What's is the difference between _train, validation and test set_, in neural networks?
29
Causal Inference
28
Python, IPython, Scikit-learn etc.
28
📌 Other
24
Reinforcement Learning
21
:octocat: GitHub Repositories
20
Linear Algebra
17
Big Data
15
Code editors
13
🟥 YouTube
13
Neural Networks
12
LaTeX
9
Reddit
9
R
9
Deploy Machine Learning Model to Production
7
Table of Contents
5
Social Networks (chanels, chats, groups, etc.)
5
▶️ Websites
5
JavaScript-libraries for visualizing
4
Algorithms
4
📑 Open Datasets list
3
Machine Learning Map
1
Machine Learning System Design
1
Bayesian Statistics
1
Sub Categories
Keywords
machine-learning
30
python
20
deep-learning
19
data-science
16
awesome
14
awesome-list
13
neural-network
8
artificial-intelligence
7
machine-learning-algorithms
6
nlp
6
jupyter-notebook
5
tensorflow
5
data-mining
5
scikit-learn
4
natural-language-processing
4
datascience
4
linear-algebra
4
numpy
3
pytorch
3
mathematics
3
neural-networks
3
tutorial
3
classifier
3
gradient-boosting
3
reinforcement-learning
3
random-forest
3
statistics
3
deeplearning
3
data-visualization
3
data-analysis
3
logistic-regression
3
algorithms
3
list
2
tutorials
2
jupyter
2
data-structures
2
ml
2
ai
2
graph-classification
2
coursera-machine-learning
2
computer-science
2
time-series
2
classification-algorithm
2
recommender-system
2
linear-regression
2
data-analytics
2
unsupervised-learning
2
catboost
2
node2vec
2
classification-trees
2