Bias in machine learning

The implications of a biased dataset and how to avoid it.

Differences between Supervised and Unsupervised Learning

The Importance of Data in Machine Learning.

Data is the underlying fuel energizing AI

Natural Language Processing (NLP)

NLP is a field of study that focuses on the interaction between computers and human language.

Generative Adversarial Networks (GANs)

Generative Adversarial Networks (GANs), a type of deep learning model that is used for generating new data

Transfer Learning

allows the model to learn new patterns in the data specific to the new task while still leveraging the knowledge learned from the pre-trained model.

Overfitting in machine learning

Overfitting occurs when a machine learning model becomes too complex ...