Artificial intelligence (AI) and machine learning (ML) have become essential parts of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, all while following a methodical workflow for developing data-driven solutions. Lesson 1: Solving Business Problems Using AI and MLTopic A: Identify AI and ML Solutions for Business Problems Topic B: Formulate a Machine Learning Problem Topic C: Select Approaches to Machine LearningLesson 2: Preparing DataTopic A: Collect Data Topic B: Transform Data Topic C: Engineer Features Topic D: Work with Unstructured DataLesson 3: Training, Evaluating, and Tuning a Machine Learning ModelTopic A: Train a Machine Learning Model Topic B: Evaluate and Tune a Machine Learning ModelLesson 4: Building Linear Regression ModelsTopic A: Build Regression Models Using Linear Algebra Topic B: Build Regularized Linear Regression Models Topic C:
