Here is a plan I created. It is not a short term plan.
- Complete Machine Learning course. – Done
- Complete Deep Learning Specialization (that will expose me to ML in Python Tensorflow, & Convolutional Neural Network) – In Progress
- Advanced Machine Learning Specialization looks good (not sure)
- Read the book: Deep Learning Book by Ian Goodfellow and et al. from MIT
- Read the book: INTRODUCTION TO MACHINE LEARNING by Nils J. Nilsson (referred in Useful Resources link of this course)
- Read the book: Tree-based Machine Learning Algorithms: Decision Trees, Random Forests, and Boosting by Clinton Sheppard.
- Bayesian networks from the book Learning in Graphical Models by Michael I. Jordan
- At the same time try to solve a real-world problem using ML