Build AI classification models with PyTorch using binary and multi-label techniques.

Learn the essentials of data science by understanding R Programming Languages Today!

Discover machine learning and how it works, and train your own AI using free online tools.

Discover the world of artificial intelligence (AI) and how it is set to change the ways we teach and learn. Gain valuable experience for discussing and using AI tools with your learners.

Azure's AI Vision service uses algorithms to process images and return information. This module teaches you how to use the Image Analysis API for optical character recognition (OCR).

You've heard that NLP will disrupt just about everything, but you're not sure what that means for the ways you handle data. This course will teach you how NLP can be successfully adopted for real-world data workflows across multiple industries.

Demystify AI-generated content challenges - hallucinations, inaccuracies, biases. Develop detection skills and bias correction methods. Explore ethical AI use for transparency.

In this course, you apply your knowledge of classification models and embeddings to build a ML pipeline that functions as a recommendation engine.

Learn how to use RNNs to classify text sentiment, generate sentences, and translate text between languages.

Recurrent Neural Networks (RNNs) excel at processing sequences, making them ideal for analyzing, and predicting time series data with temporal dependencies.

When we think of machine learning, we often focus on the training process. A small amount of preparation before this process can not only speed up and improve learning, but also give us some confidence about how well our models will work when faced with data we have never seen before.

Understand the principles of reinforcement learning and its applications in training intelligent agents.