To perform matrix multiplication on numpy arrays A and B, you can use the `np.dot(A, B)` function. Here are the steps:

1. Import the numpy library: `import numpy as np`
2. Define your numpy arrays. For example:
```
A = np.array([[1, 2], [3, 4]])
B = np.array([[5, 6], [7, 8]])
```
3. Use the `np.dot()` function to multiply the matrices:
`result = np.dot(A, B)`

Please note that `A * B` performs element-wise multiplication, not matrix multiplication. `A + B` performs element-wise addition.

Question

To perform matrix multiplication on numpy arrays A and B, you can use the `np.dot(A, B)` function. Here are the steps:

1. Import the numpy library: `import numpy as np`
2. Define your numpy arrays. For example:
   ```
   A = np.array([[1, 2], [3, 4]])
   B = np.array([[5, 6], [7, 8]])
   ```
3. Use the `np.dot()` function to multiply the matrices:
   `result = np.dot(A, B)`

Please note that `A * B` performs element-wise multiplication, not matrix multiplication. `A + B` performs element-wise addition.

Knowee AI · Accepted Answer

To perform matrix multiplication on numpy arrays A and B, you can use the `np.dot(A, B)` function. Here are the steps:

1. Import the numpy library: `import numpy as np`
2. Define your numpy arrays. For example:
   ```
   A = np.array([[1, 2], [3, 4]])
   B = np.array([[5, 6], [7, 8]])
   ```
3. Use the `np.dot()` function to multiply the matrices:
   `result = np.dot(A, B)`

Please note that `A * B` performs element-wise multiplication, not matrix multiplication. `A + B` performs element-wise addition.

How do you perform matrix multiplication on the numpy arrays A and B ?1 pointnp.dot(A,B)A*BA+B

Question

How do you perform matrix multiplication on the numpy arrays A and B ?

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