Course
Skills
Machine Learning for Business Professionals
If you're wondering what the machine learning hype is about or want to know what it can do for your enterprise, without the technical jargon, this course is for you.
What you'll learn
If you're wondering what the machine learning hype is about or want to know what it can do for your enterprise, without the technical jargon, this course is for you. In this class, learn what machine learning is, how to translate business problems into machine learning use cases, how to vet those use cases for feasibility and impact, how to discover unexpected use cases, how to carry a machine learning project through its various phases, and how to pursue machine learning and artificial intelligence responsibly and ethically.
Table of contents
Introduction
9mins
What is Machine Learning?
71mins
- Standard Use Cases and Algorithms 7m
- Characteristics of Data 8m
- ML vs. Artificial Intelligence 4m
- Predictive Insights and Repeated Decisions 5m
- Real life Use Cases 5m
- Lab: Create a pizza-ordering chatbot with Dialogflow 0m
- Building a Chatbot Lab Review 16m
- Why ML Now? Part 1 4m
- Why ML Now? Part 2 8m
- Lab: Understanding Images with Google Cloud 0m
- Understanding Images Lab Review 11m
- Using AI Responsibly 3m
Employing ML
96mins
- Introduction 5m
- ML Terminology in Context 6m
- Acquiring Labeled Data Part 1 5m
- Acquiring Labeled Data Part 2 6m
- Labeling Service Demo 5m
- Model Training Part 1 6m
- Model Training Part 2 5m
- Model Evaluating 6m
- General Best Practices 4m
- Human Bias in ML Part 1 6m
- Human Bias in ML Part 2 6m
- Human Bias in ML Part 3 3m
- Activity:Understanding Learned Relationships using the Embedding Projector Review 8m
- Fairness in ML Part 1 6m
- Fairness in ML Part 2 3m
- Activity:Applying Fairness Concerns with the What-If tool Review 16m
Discovering ML Use Cases
67mins
- Introduction 4m
- Simplifying Rule-based Systems Part 1 5m
- Simplifying Rule-based Systems Part 2 4m
- Simplifying Rule-based Systems Part 3 4m
- Streamlining Business Processes 5m
- Understanding Unstructured Data 5m
- Personalizing Experiences 5m
- Recommender Systems Part 1 4m
- Recommender Systems Part 2 5m
- Inspiring ML use cases 5m
- When to use ML 7m
- Activity:Generating Novel Rhythms with Machine Learning Review 4m
- ML in Series 8m
- Summary 2m
How to be successful at ML
79mins
- Introduction 4m
- Data Strategy Part 1 9m
- Data Strategy Part 2 5m
- Data Strategy Part 3 6m
- Lab: Predicting visitor purchases with BQML model (ML for Business Professionals) 0m
- Predicting visitor purchases with BQML model 18m
- Data Governance Part 1 8m
- Data Masking Demo 2m
- Data Governance Part 2 5m
- Data Governance Part 3 9m
- Creating a Culture of Innovation Part 1 6m
- Creating a Culture of Innovation Part 2 7m
Summary
4mins
