AI is the broad field of making machines smart, ML is a subset that learns from data, and DL is a subset of ML using deep neural networks.
Clarifies what you're actually working with or using. Prevents confusion in conversations and articles.
AI: Roomba; ML: Email spam filter; DL: Face recognition on phones
AI = sentient; ML = always needs big data; DL = black magic
DL uses many-layered neural networks; ML includes methods like decision trees, SVMs, etc.
Try Google's Teachable Machine to create a mini ML model visually.
Overhype leads to misuse or inflated expectations.
Persona
All
Why it Matters
Clarifies what you're actually working with or using. Prevents confusion in conversations and articles.
Common Misconceptions
AI = sentient
ML = always needs big data
DL = black magic
Try It Yourself
Try Google's Teachable Machine to create a mini ML model visually.
Cautions
Overhype leads to misuse or inflated expectations.
Definition
AI is the broad field of making machines smart, ML is a subset that learns from data, and DL is a subset of ML using deep neural networks.
Real-World Examples
- AI: Roomba
- ML: Email spam filter
- DL: Face recognition on phones
Technical Glimpse
- DL uses many-layered neural networks
- ML includes methods like decision trees, SVMs, etc.
To Do List:
Check out 
Teachable Machine