This class was created by Brainscape user Annina Vietze. Visit their profile to learn more about the creator.
By:
Annina Vietze
- decks
- flashcards
- learners
Decks in this class (10)
01_intro
No deck description has yet been added by the author.
19
cards
02_what is AI?
No deck description has yet been added by the author.
34
cards
03_data and features
No deck description has yet been added by the author.
45
cards
04_supervised concepts
No deck description has yet been added by the author.
53
cards
05_supervised learning methods
No deck description has yet been added by the author.
46
cards
07_unsupervised learning
No deck description has yet been added by the author.
39
cards
08_neural networks
No deck description has yet been added by the author.
46
cards
09_convolutional neural networks and computer vision
No deck description has yet been added by the author.
27
cards
10_advanced deep learning concepts
No deck description has yet been added by the author.
30
cards
11_ethical considerations in AI
No deck description has yet been added by the author.
15
cards
More about Introduction to AI and Machine Learning
- Class purpose General learning
The creator of this class did not yet add a description for what is included in this class.
How studying works.
Brainscape's adaptive web mobile flashcards system will drill you on your weaknesses, using a pattern guaranteed to help you learn more in less time.
Add your own flashcards.
Either request "Edit" access from the author, or make a copy of the class to edit as your own. And you can always create a totally new class of your own too!
What's Brainscape anyway?
Brainscape is a digital flashcards platform where you can find, create, share, and study any subject on the planet.
We use an adaptive study algorithm that is proven to help you learn faster and remember longer.
Looking for something else?
COMP24111: Machine Learning
- 11 decks
- 237 flashcards
- 9 learners
Decks:
Chapter 1 Machine Learning Basics, Chapter 2 K Nearest Neighbours, Chapter3 Machine Learning Experiments, And more!
machine learning interview questions ...
- 9 decks
- 176 flashcards
- 995 learners
Decks:
Ml Algorithms Theory, Ml Programming, Ml General, And more!
