AI Resources

Mathematics for Machine Learning

Statistics for Machine Learning

Python Resources

Data Analysis Resources

Big Data Analysis

Machine Learning Resources

Deep Learning Resources

Natural Language Processing Resources

Computer Vision Resources

Guide to MLOPs

Top Books

Research Paper Repository

Roadmaps

Python Roadmap -> https://roadmap.sh/python

AI Expert Roadmap from i.am.ai

• Introduction -> https://i.am.ai/roadmap/#introduction
• Fundamentals -> https://i.am.ai/roadmap/#fundamentals
• Data Science Roadmap -> https://i.am.ai/roadmap/#data-science-roadmap
• Machine Learning -> https://i.am.ai/roadmap/#machine-learning-roadmap
• Deep Learning -> https://i.am.ai/roadmap/#deep-learning-roadmap
• Data Engineer -> https://i.am.ai/roadmap/#data-engineer-roadmap
• Big Data Engineer -> https://i.am.ai/roadmap/#big-data-engineer-roadmap

Links to official documentation for all machine learning libraries

• Numpy -> https://numpy.org/doc/1.24/user/index.html
• Pandas -> https://pandas.pydata.org/docs/
• Scikit-Learn -> https://scikit-learn.org/stable/
• TensorFlow -> https://www.tensorflow.org/api_docs
• Keras -> https://keras.io/api/
• Pytorch -> https://pytorch.org/docs/stable/index.html
• Scipy -> https://docs.scipy.org/doc/scipy/
• Seaborn -> https://seaborn.pydata.org/
• Matplotlib -> https://matplotlib.org/stable/index.html
• Theano -> https://theano-pymc.readthedocs.io/en/latest/

Course Links

Must do courses for Python

• Python for Everybody -> Coursera
• Machine Learning Specialization -> Coursera
• Deep Learning Specialization -> Cousera
• Natural Language Processing Specialization -> Coursera