Sign up to save your podcasts
Or
Share EP 16 | Duke ML for PMs: Machine Learning Fundamentals
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
EP 16 | Duke ML for PMs: Machine Learning Fundamentals
We kick off a new course from Duke University designed specifically for those leading AI products. In this episode, we strip away the code and focus on the core vocabulary and intuition every Product Manager needs to collaborate effectively with data scientists.
Key Topics:
Defining ML for Business: What machine learning actually is and—more importantly—what it is not.
The PM’s Vocabulary: Breaking down "Data Terminology," from features and labels to training sets.
The 3 Types of ML: A high-level look at Supervised, Unsupervised, and Reinforcement Learning.
Possibility vs. Reality: A critical discussion on what ML can do well and where it typically fails (or shouldn't be used at all).
Note: This is an AI-generated study resource created via NotebookLM based on Duke University’s ML for Product Managers curriculum and personal study notes.
View all episodes
By Jack LakkapragadaWe kick off a new course from Duke University designed specifically for those leading AI products. In this episode, we strip away the code and focus on the core vocabulary and intuition every Product Manager needs to collaborate effectively with data scientists.
Key Topics:
Defining ML for Business: What machine learning actually is and—more importantly—what it is not.
The PM’s Vocabulary: Breaking down "Data Terminology," from features and labels to training sets.
The 3 Types of ML: A high-level look at Supervised, Unsupervised, and Reinforcement Learning.
Possibility vs. Reality: A critical discussion on what ML can do well and where it typically fails (or shouldn't be used at all).
Note: This is an AI-generated study resource created via NotebookLM based on Duke University’s ML for Product Managers curriculum and personal study notes.