Learn how to find the best classification model with automated machine learning (AutoML). You'll use the Python SDK (v2) to configure and run an AutoML job.

Train a pretrained Large Language Model (LLM) on specific tasks. The model catalog in Azure Machine Learning offers many open source models that can be fine-tuned for your specific task.

Master the art of LLM finetuning with LoRA, QLoRA, and Hugging Face. Learn how to prepare, train and optimize models for specific tasks efficiently.

Discover how to implement and leverage Firebase Analytics for tracking user engagement and performance in Android apps.

Explore Firebase Analytics integration for iOS apps to analyze user behavior and app performance.

Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.

Learn how to identify important drivers of demand, look at seasonal effects, and predict demand for a hierarchy of products from a real world example.

Learn how to translate business questions to well-formed analytical questions and select the right analytical solutions.

Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.

Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.

In this course, you'll learn about the concepts of random variables, distributions, and conditioning.