AI |
1. **Towards Data Science**:
This website contains many articles and tutorials on the development of Artificial Intelligence, Machine Learning, and data analysis. It ranges from elementary-level articles that may be suitable for postgraduate tutorials to articles that report new methods or findings. (Link: https://towardsdatascience.com/)
2. **OpenAI**:
OpenAI is a company whose aim is to combine the with the help of artificial intelligence while keeping it safe for society and useful for people. They have uploaded some of the papers, models, and educational resources that are available on their website. (Link: https://openai.com/)
3. **AI Trends**:
AI Trends is an online magazine that provides its readers with current trends, events, and tips relating to AI and ML. It provides articles, reports, and analyses on AI uses in sectors such as healthcare, finance, education, and manufacturing.
(Link: https.aitrends.com/)
4. **AI Weekly**:
AI Weekly is the newsletter that we prepare for you with selected news, articles, and updates from Synced on AI and ML. It is a good chance to read more about modern tendencies and know more about the field. (Link: https://aiweekly.co/)
5. **Machine Learning Mastery**:
This website by data scientist Jason Brownlee is a comprehensive platform for video tutorials, courses, and resources to become proficient in using machine learning algorithms. Their question-and-answer format ranges from the fundamentals to even advanced levels of algorithms. (Link: https://machinelearningmastery.com/)
6. **Distill**:
Distill is a scientific journal that aims to disseminate rigorous peer-reviewed research papers and graphics-based explanations of machine learning. It consists of simplification of knowledge as well as making education more accessible to different communities of learners. (Link: https://distill.pub/)
7. **TensorFlow**:
TensorFlow as one of the most famous machine learning frameworks out there is an open-source one funded by Google. It is a documentation, guide, and reference that specifically deals with building and deploying machine learning models using TensorFlow. (Link: https://www.TensorFlow.org/)
8. **PyTorch**:
PyTorch is another widely used open-source machine learning platform that we can mention. It has well-documented PyTorch, with tutorials, and references for developers who are interested in using it for deep learning projects. (Link: https://pytorch.org/)
9. **DeepAI**:
DeepAI is an online resource containing all kinds of tools built with the use of technologies related to AI as well as images, text, voice recognition means, and others. It also includes articles and news influenced by artificial intelligence. (Link: https://deepai.org/)
10. **Kaggle**:
Kaggle is a social network and a hub for all things related to data science: computationally intensive contests, data sets, and lessons. It provides a notebook that contains several tutorials, courses that are available for those who are interested in the development of AI, and forums where people may discuss the problem.
(Link: https://www.kaggle.com/)
Such websites provide information about AI, including topics that may be interesting for various audiences, starting from novices and ending with experienced professionals. They are important sources of knowledge and information that can be used for discovering new information and staying informed on current AI innovations.
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