Spinning Up in Deep RL by OpenAI
This is an educational resource produced by OpenAI that makes it easier to learn about deep reinforcement learning (deep RL).
For the unfamiliar: reinforcement learning (RL) is a machine learning approach for teaching agents how to solve tasks by trial and error. Deep RL refers to the combination of RL with deep learning.
More about the course: https://www.youtube.com/watch?v=fdY7dt3ijgY&t=1s (OpenAI Spinning Up in Deep RL Workshop)
Link: https://spinningup.openai.com/en/latest/index.html
Navigational hashtags: #armknowledgesharing #armcourses
General hashtags: #rl #reinforcementlearning #deeprl #openai #deeplearning #dl
@data_science_weekly
This is an educational resource produced by OpenAI that makes it easier to learn about deep reinforcement learning (deep RL).
For the unfamiliar: reinforcement learning (RL) is a machine learning approach for teaching agents how to solve tasks by trial and error. Deep RL refers to the combination of RL with deep learning.
More about the course: https://www.youtube.com/watch?v=fdY7dt3ijgY&t=1s (OpenAI Spinning Up in Deep RL Workshop)
Link: https://spinningup.openai.com/en/latest/index.html
Navigational hashtags: #armknowledgesharing #armcourses
General hashtags: #rl #reinforcementlearning #deeprl #openai #deeplearning #dl
@data_science_weekly
HarvardX: CS50's Introduction to Artificial Intelligence with Python
This course explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, machine learning, large language models, and other topics in artificial intelligence as they incorporate them into their own Python programs. By course’s end, students emerge with experience in libraries for machine learning as well as knowledge of artificial intelligence principles that enable them to design intelligent systems of their own.
What you'll learn
- graph search algorithms
- adversarial search
- knowledge representation
- logical inference
- probability theory
- Bayesian networks
- Markov models
- constraint satisfaction
- machine learning
- reinforcement learning
- neural networks
- natural language processing
By the way, it starts today - December 14, 2023.
Links:
- https://www.edx.org/learn/artificial-intelligence/harvard-university-cs50-s-introduction-to-artificial-intelligence-with-python
- https://cs50.harvard.edu/ai/2024/
Navigational hashtags: #armknowledgesharing #armcourses
General hashtags: #machinelearning #ml #deeplearning #dl #graphs #reinforcementlearning #rl #neuralnetworks #nn #naturallanguageprocessing #nlp
@data_science_weekly
This course explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, machine learning, large language models, and other topics in artificial intelligence as they incorporate them into their own Python programs. By course’s end, students emerge with experience in libraries for machine learning as well as knowledge of artificial intelligence principles that enable them to design intelligent systems of their own.
What you'll learn
- graph search algorithms
- adversarial search
- knowledge representation
- logical inference
- probability theory
- Bayesian networks
- Markov models
- constraint satisfaction
- machine learning
- reinforcement learning
- neural networks
- natural language processing
By the way, it starts today - December 14, 2023.
Links:
- https://www.edx.org/learn/artificial-intelligence/harvard-university-cs50-s-introduction-to-artificial-intelligence-with-python
- https://cs50.harvard.edu/ai/2024/
Navigational hashtags: #armknowledgesharing #armcourses
General hashtags: #machinelearning #ml #deeplearning #dl #graphs #reinforcementlearning #rl #neuralnetworks #nn #naturallanguageprocessing #nlp
@data_science_weekly
Exceptional Resources for Data Science Interview Preparation. Part 3: Specialized Machine Learning
In the previous article, I shared materials for preparing for the stage on Classical Machine Learning.
In this article, we will look at materials that can be used to prepare for the section on specialized machine learning.
Table of contents
- Resources
- Deep Learning
- Natural Language Processing
- Computer Vision
- Graph Neural Networks
- Reinforcement Learning
- Recommender Systems
- Time Series
- Big Data
- Let’s sum it up
- What’s next?
NB:
I'm the author of the article.
It was initially published in Russian (on habr.com), then I published it on medium.com. So, for Russian speakers I recommend to read Russian version, for English speakers I recommend to read English version and both will benefit from starring the repository, which will be maintained and updated when new resources become available.
Links:
- Medium (eng)
- Habr (rus)
Navigational hashtags: #armknowledgesharing #armarticles
General hashtags: #interview #interviewpreparation #machinelearning #ml #deeplearning #dl #nlp #cv #rl #gnn #recsys
@data_science_weekly
In the previous article, I shared materials for preparing for the stage on Classical Machine Learning.
In this article, we will look at materials that can be used to prepare for the section on specialized machine learning.
Table of contents
- Resources
- Deep Learning
- Natural Language Processing
- Computer Vision
- Graph Neural Networks
- Reinforcement Learning
- Recommender Systems
- Time Series
- Big Data
- Let’s sum it up
- What’s next?
NB:
I'm the author of the article.
It was initially published in Russian (on habr.com), then I published it on medium.com. So, for Russian speakers I recommend to read Russian version, for English speakers I recommend to read English version and both will benefit from starring the repository, which will be maintained and updated when new resources become available.
Links:
- Medium (eng)
- Habr (rus)
Navigational hashtags: #armknowledgesharing #armarticles
General hashtags: #interview #interviewpreparation #machinelearning #ml #deeplearning #dl #nlp #cv #rl #gnn #recsys
@data_science_weekly