Machine-Learning
Awesome list (courses, books, videos etc.) and implementation of Machine Learning Algorithms
https://github.com/ElizaLo/Machine-Learning
Last synced: 10 days ago
JSON representation
-
Reinforcement Learning
-
Ukraine
- OpenAI Spinning Up
- CS 8803 - Reinforcement Learning (Georgia Tech)
- Introduction to Reinforcement Learning (Joelle Pineau @ Deep Learning Summer School 2016)
- Deep Reinforcement Learning (Pieter Abbeel @ Deep Learning Summer School 2016)
- Deep Reinforcement Learning ICML 2016 Tutorial (David Silver)
- John Schulman - Deep Reinforcement Learning (4 Lectures)
- dennybritz/reinforcement-learning
-
-
Social Networks (chanels, chats, groups, etc.)
-
Table of Contents
-
Theory of Probability and Mathematical Statistics
-
▶️ Websites
-
Ukraine
-
-
What's is the difference between _train, validation and test set_, in neural networks?
-
Ukraine
- Early stopping
- Code
- MNIST Database
- Code
- Code
- Code
- Understanding GRU Networks
- Code
- SMS Spam Collection Dataset
- Code
- Base text - **Alice in Wonderland**
- Formatted text of **Alice in Wonderland**
- implementation - character inputs as described in the original paper and improving [GauthierDmns' code](https://github.com/GauthierDmn/question_answering).
- Paper
- Used Articles
- Understanding GRU Networks
- Understanding GRU Networks
- Understanding GRU Networks
- Understanding GRU Networks
- Code
- Code
- SMS Spam Collection Dataset
- Code
- Base text - **Alice in Wonderland**
- Formatted text of **Alice in Wonderland**
- Paper
- Used Articles
- Subset of MNIST
-
-
🟥 YouTube
- Google Cloud Platform: AI Adventures
- Lviv Data Science Summer School 2020 lectures
- Samsung AI Innovation Campus - Russia
- Machine Learning University - samples/aws-machine-learning-university-accelerated-nlp)
- Google Cloud Platform: AI Adventures
- Grammarly AI-NLP Club
- Lviv Data Science Summer School 2020 lectures
- Samsung AI Innovation Campus - Russia
- Samsung AI Innovation Campus - Russia
Programming Languages
Categories
📚 Books
80
🔹 Online Courses
43
Awesome List
40
Theory of Probability and Mathematical Statistics
31
What's is the difference between _train, validation and test set_, in neural networks?
28
Causal Inference
26
🎓 Courses
26
Conferences
23
📌 Other
22
Python, IPython, Scikit-learn etc.
20
:octocat: GitHub Repositories
19
Reinforcement Learning
18
Big Data
14
Linear Algebra
12
Code editors
12
Neural Networks
11
🟥 YouTube
9
Reddit
9
R
8
LaTeX
7
Social Networks (chanels, chats, groups, etc.)
5
Deploy Machine Learning Model to Production
5
▶️ Websites
4
JavaScript-libraries for visualizing
3
Table of Contents
3
📑 Open Datasets list
3
Algorithms
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