Explore the fundamentals of Azure Machine Learning Studio and predictive analytics in this comprehensive 59-minute conference talk. Learn how to create Azure ML experiments, implement various data manipulation techniques, and customize machine learning processes using R modules. Discover the process of publishing and consuming endpoints for predictive analysis, as well as retraining ML models. Gain insights into unsupervised learning workflows, decision trees, and accuracy evaluation. Understand how to leverage Azure ML for low-cost, easy-to-use, and scalable machine learning solutions that can enhance business applications with intelligent predictions. By the end of this talk, acquire the knowledge to use diverse data sources, create experiments, and implement predictions in your systems, enabling you to enrich your applications with data-driven insights using proven ML technologies.