Useful Resources to take first step in AI world
Machine learning
- Micro-courses from Kaggle. These are simple and well organised courses for a beginner. After each lesson, you have chance to apply what you learned. This helps you to start with many Kaggle competitions right away.
- Machine Learning A-Z™: Hands-On Python & R In Data Science from Udemy. A balanced course between theory and practical. Also provide good tips on approaching real world problems.
- Machine learning from Stanford. Provide a thorough walk through the basics.
Deep learning
- Deep Learning A-Z™: Hands-On Artificial Neural Networks from Udemy.
- Deep learning specialisation in Coursera.
Other resources
- Machine learning foundations(from Google):
- Courses in Udacity
- Machine learning with Python by freecodecamp:
- Data analysis with Python by freecodecamp
- Introduction to deep learning(from MIT)
- Free courses in https://www.fast.ai https://ai.google/education/
Along with taking these courses, you can
- Start take part in Kaggle competitions: Also go through the high ranked solutions.
- Reading and implementing(reproduce) research papers.
- Contribute to open source project or implement your own ideas.
- Teaching or take part in related discussions in Twitter/LinkedIn/Discord/other forums and support the community. Also, consider join in our community.
- Take part in online events, meet-ups etc.
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