What is Deep Learning?
Dive into the world of deep learning. Discover neural networks, training models, and applications. Unleash the power of AI!
Machine Learning
What is Logistic Regression?
Unlock insights with logistic regression. Predict outcomes, analyze relationships, and make data-driven decisions. Master this statistical technique.
What is a Random Forest?
Explanation of the Random Forest algorithm with description of decision trees and application areas.
What is a Decision Tree?
Explanation of the Decision Tree algorithm with the help of a detailed example, as well as the advantages and disadvantages.
What is Supervised Learning?
Supervised learning algorithms explained with the help of concrete examples and applications.
Support Vector Machine (SVM) – easily explained!
Support Vector Machines explained with examples, including kernel trick and advantages and disadvantages of using them.
Explainable AI: Integrated Gradients
Functionality of the Integrated Gradient explained using the example of a sentiment analysis.
What are Recurrent Neural Networks?
Explanation of Recurrent Neural Networks, including definition, applications, types, and problems.
Understanding the Backpropagation Algorithm
Introduction to the backpropagation algorithm with explanation of the gradient method and error backpropagation.
What are Convolutional Neural Networks (CNN)?
Learn how Convolutional Neural Networks use three-dimensional data for image classification and object recognition.