Machine Learning

What is a Bayesian Network?

Discover the power of Bayesian networks in data analysis and decision-making. Uncover hidden relationships and make informed choices.

Discover how to optimize complex problems using genetic algorithms. Learn about crossover, mutation, and fitness functions.

Maximize your model’s performance with the F1-score. Learn its definition, interpretation, and limitations in this comprehensive guide.

Learn about Word2Vec – an efficient way to represent words as vectors and their applications in NLP. Explore the algorithm in detail.

Introduction to computer vision and its applications.

Explaining Transfer Learning and how it can be used by beginners.

Introduction to Gradient Boosting and the differences to AdaBoost.

Explaining the need and the advantages of Dimensionality Reduction.

Harness the power of PyTorch for deep learning. Learn to build and train neural networks with this popular Python framework.

Master deep learning with Keras. Discover how to build and train neural networks using this powerful Python library.