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Computer Science
Artificial Intelligence
Artificial Intelligence
Register for a session to review this topic with a small group of learners.
AI
Computer Science · series session
Artificial Intelligence
Lesson 6 - Machine Learning Concepts (3)
Classification Models:
Predict categorical data
Predict one class out of a SET of classes (a certain state)
Specific Algorithms:
- K nearest neighbors
- Random Forest
- etc.
SL
RA
Rohan A
0
30/50
AI
Computer Science · series session
Artificial Intelligence
Lesson 7 - Machine Learning Concepts (4)
Regression Models:
Predict numerical data
- Specific number
Specific Algorithms:
- Linear Regression
- Neural Networks
- Polynomial Regression
- etc.
SL
RA
Rohan A
0
30/50
AI
Computer Science · series session
Artificial Intelligence
Lesson 8 - Machine Learning Concepts (5)
Problems with Training Models:
- Underfitting
- Overfitting
- Lack of Data
- Skewed Data
SL
RA
Rohan A
0
30/50
AI
Computer Science · series session
Artificial Intelligence
Lesson 9 - Machine Learning Concepts (6)
Measuring Classification Models
- Accuracy
- Confusion Matrices
- ROC Curves
- RMSE
+ How to generate these using Python!
SL
RA
Rohan A
0
30/50
AI
Computer Science · series session
Artificial Intelligence
Lesson 10 - Teachable Machine for Image Classification
Put what you have learned so far into practice with Teachable Machine! It's a simple interface for training image classification models.
SL
RA
Rohan A
0
30/50
AI
Computer Science · series session
Artificial Intelligence
Today we will install the necesary packages and prepare our coding environment. We will also share what project we want to do with each other, to get a better idea of how this series will progress.
DR
Diya R
0
3/10
AI
Computer Science · series session
Artificial Intelligence
In this session we will begin to code our CNNs. We will learn about the different layers of the CNN as well.
DR
Diya R
0
3/10