Machine Learning
ICSE · Class 12 · Artificial Intelligence
Complete topic list for Machine Learning in ICSE Class 12 Artificial Intelligence. Key concepts, sub-topics, and what to focus on for board exams.
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Topics in Machine Learning
1. Machine Learning: Core Idea and Types
- Arthur Samuel coined the term Machine Learning in 1959 while at IBM.
- Machine Learning is a subset of Artificial Intelligence.
- ML systems learn from data instead of following only fixed instructions.
2. Deep Learning and Artificial Neural Networks
- Deep Learning is a subset of Machine Learning.
- Deep learning uses artificial neural networks and multiple hidden layers.
- Artificial Neural Networks are inspired by the human brain.
3. Convolution, Kernels, and CNN
- Convolution is an element-wise multiplication of image arrays and a kernel, followed by a sum.
- A kernel is a matrix of weights used to extract relevant features from the input.
- The dimensionality of the kernel gives convolution its name.
4. CNN Layers and Their Functions
- A CNN usually has four main layers: convolution, ReLU, pooling, and fully connected layer.
- The convolution layer is the first layer of a CNN.
- The ReLU layer removes negative values by setting them to zero.
Key Concepts
Central concept: Machine Learning
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