(Python Example for Beginners)
Write a NumPy program to find a matrix or vector norm.
Notes on Vector and Matrix Norms from here.
Sample Solution :
Python Code :
import numpy as np v = np.arange(7) result = np.linalg.norm(v) print("Vector norm:") print(result) m = np.matrix('1, 2; 3, 4') result1 = np.linalg.norm(m) print("Matrix norm:") print(result1)
Vector norm: 9.53939201417 Matrix norm: 5.47722557505
Python Example – Write a NumPy program to evaluate Einstein’s summation convention of two given multidimensional arrays
Two Machine Learning Fields
There are two sides to machine learning:
- Practical Machine Learning:This is about querying databases, cleaning data, writing scripts to transform data and gluing algorithm and libraries together and writing custom code to squeeze reliable answers from data to satisfy difficult and ill defined questions. It’s the mess of reality.
- Theoretical Machine Learning: This is about math and abstraction and idealized scenarios and limits and beauty and informing what is possible. It is a whole lot neater and cleaner and removed from the mess of reality.
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