This repository is created for personal use. But if need, anyone can see, follow or anything else..
- Linear Algebra
- Essence of linear algebra (by 3Blue1Brown)
- MIT course (by Prof. Gilbert Strang)
- Referance book (2nd Chapter, by Goodfellow)
- Calculus
- Essence of Calculus (by 3Blue1Brown)
- Lectures (first 5 videos, by Khan Academy)
- Probability & Statistics
- Referance book (3rd Chapter, by Goodfellow)
- And basic theories by web search
- Coursera ML course (by Andrew Ng)
- Understanding LSTM Networks
- The Unreasonable Effectiveness of Recurrent Neural Networks
- Neural networks and back-propagation explained in a simple way
- All of Machine Learning maths
- Referance book (All Chapters, by Goodfellow)
- DeepLearning.ai course (by Andrew Ng)
- A Neural Network in 11 lines of Python
- Anyone Can Learn To Code an LSTM-RNN in Python
- Learning TensorFlow (by Stanford)
- AWS vs Paperspace vs FloydHub
- Reinforcement Learning (CS 294: Deep Reinforcement Learning, Fall 2018)
- Proof of Work Vs Proof of Stake
- Difficulty
- What is Blockchain Technology
- Blockchain Applications
- Smart Contract
- What is Research & Why?
- Bangla HandBook on Research
- How to Select a Research Topic
- Search a Research Paper on Your Topic
- Download a Research Paper for Free with Link Address
- https://nlp.stanford.edu/courses/cs224n/
- http://cs231n.stanford.edu/project.html
- http://cs229.stanford.edu/projects.html
- http://ai.stanford.edu/courses/
- https://www.media.mit.edu/search/?filter=project
- http://news.mit.edu/topic/artificial-intelligence2
- https://www.research.ox.ac.uk/Area/ai
- https://www.ubuntupit.com/top-20-best-machine-learning-projects-for-beginner-to-professional/
- https://nevonprojects.com/artificial-intelligence-projects/
- https://medium.mybridge.co/30-amazing-machine-learning-projects-for-the-past-year-v-2018-b853b8621ac7
- https://en.wikipedia.org/wiki/List_of_artificial_intelligence_projects