Convex optimization
Convex optimization is a powerful technique widely used across various fields due to its efficiency and robust characteristics. This method aids in finding the optimal solution of a problem, making it...
AI prompt engineer
AI prompt engineer is an emerging profession that plays a crucial role in bridging the gap between human language and machine understanding. As AI technologies evolve, the ability to interact effectiv...
Data-centric AI
Data-centric AI is revolutionizing how organizations approach artificial intelligence by shifting the focus from algorithm optimization to the quality of the data supporting these algorithms. This app...
KYC process
The KYC process, short for Know Your Customer, is an essential procedure that safeguards financial institutions and their clients from potential risks associated with fraud and illicit activities. As ...
Class imbalance in machine learning
Class imbalance in machine learning is a prevalent challenge that can significantly skew the performance of predictive models. When certain classes in a dataset are represented much more frequently th...
Gradient boosting decision trees
Gradient boosting decision trees (GBDT) are at the forefront of machine learning, combining the simplicity of decision trees with the power of ensemble techniques. This approach enhances predictive ac...
Clustering algorithms
Clustering algorithms play a vital role in the landscape of machine learning, providing powerful techniques for grouping various data points based on their intrinsic characteristics. As the volume of ...
