This post is aimed at listing down some of the great work that Andrew NG has done in the field of AI (Machine Learning, Deep Learning etc):
- Courses
- Publications and Research Projects
- Books recommended by Andrew NG in relation to his course: Artificial intelligence – Principles and Techniques
- Artificial intelligence is the new electricity
- Deep learning, self-taught learning, and unsupervised future learning
- Nuts and Bolts of applying deep learning
- Why should you care about deep learning?
Ajitesh Kumar
Ajitesh has been recently working in the area of AI and machine learning. Currently, his research area includes Safe & Quality AI. In addition, he is also passionate about various different technologies including programming languages such as Java/JEE, Javascript and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data etc.
He has also authored the book, Building Web Apps with Spring 5 and Angular.
He has also authored the book, Building Web Apps with Spring 5 and Angular.
Latest posts by Ajitesh Kumar (see all)
- What, When & Why of Regularization in Machine Learning? - June 2, 2019
- Unit Tests & Data Coverage for Machine Learning Models - May 11, 2019
- ML Models Confusion Matrix Explained with Examples - March 30, 2019
