The Power of Machine Learning: Boost Business, Accumulate Clicks, Fight Fraud, and Deny Deadbeats

MODULE 0 - Introduction

• Gain a quick overview of machine learning and the course's content.
• Understand why the course is valuable for both technical and business professionals.
• Explore vendor-neutral courses with complementary demos from SAS.

MODULE 1 - The Impact of Machine Learning

• Learn about the diverse applications of machine learning, including predictive analytics in marketing, financial services, and fraud detection.
• Understand the potential of machine learning and avoid misconceptions surrounding artificial intelligence.
• Gain insights into the real-world impact of predictive modeling and its applications.

MODULE 2 - Data: the New Oil

• Explore the significance of big data and its predictive capabilities.
• Understand the fundamentals of training data and decision trees, key components of predictive modeling.
• Learn how to measure predictive performance and gain hands-on experience with training a decision tree model.

MODULE 3 - Predictive Models: What Gets Learned from Data

• Delve into the principles of predictive modeling and the trustworthiness of predictive models.
• Compare modeling methods and understand the deployment and profit generation from predictive models.
• Explore the limitations and applications of deep learning, along with the ethical considerations of labeled data and natural language processing.

MODULE 4 - Industry Perspective: AI Myths and Real Ethical Risks

• Dispel misconceptions about machine learning becoming superintelligent.
• Understand the ethical implications of machine learning, including its impact on social justice and discriminatory models.
• Gain insights into the positive and negative aspects of machine learning, defending its role in doing good while addressing common myths about big data and AI.