With the growing processing power of computing systems and the increasing availability of massive datasets, machine learning algorithms have led to major breakthroughs in many different areas. This ...
The training data are used for training as previously described. The test data are used at the end of the development process to check the functionality of the trained network. In the first part of ...
In recent years, companies have increasingly turned to artificial intelligence (AI) and machine learning (ML) to analyze big data and optimize their decisions.
This is my multi-month study plan for going from mobile developer (self-taught, no CS degree) to machine learning engineer. My main goal was to find an approach to studying Machine Learning that is ...
The course tackles concepts including: Machine Learning, Deep Learning, training and inference, deep learning frameworks, the AI software stack, and the role of GPUs in AI tech advancement.