Regularization Learning

Understand Convolutional Neural Networks and Implement your Object-Detection Framework From Scratch

In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine (SVM).

This monograph is a valuable contribution to the highly topical and extremely productive field of regularisation methods for inverse and ill-posed problems. The author is an internationally outstanding and accepted mathematician in this field. In his book he offers a well-balanced mixture of basic and innovative aspects.

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Unlock the Secrets of Deep Learning: Dive Deep into CNNs, RNNs, NLP, Chatbots, and Recommender Systems - Deep Learning

AWS Certified Machine Learning – Specialty (MLS-C01) - 2023 ,Sagemaker , AWS MLOps, Data Engineering, Exam Ready Updated

Learn Machine Learning, Deep Learning, Bayesian Learning and Model Deployment in Python.