All tags · Tag
#python
Articles (2)
Journals (14)
- May 7, 2026
Learned about Confidence Intervals and Margin of Error
- May 6, 2026
Learned about about Sampling, Law of Large Numbers and Central Limit Theorem
- May 5, 2026
Learned about expected value, variance, standard deviation, skewness and kurtosis
- May 4, 2026
Learned about use or probability and statistics in ML
- May 1, 2026
Learned how to use calculus for back propagation in training a neural network with simple layers(input and output, no hidden layer) and multiple perceptron for both linear regression and classification problems
- Apr 30, 2026
Learned about use of Calculus in ML
- Apr 29, 2026
Learned about Variance and Covariance and how they related to spread in a dataset
- Apr 28, 2026
Learned about Variance and Covariance and how they related to spread in a dataset
- Apr 27, 2026
Learned about Vectors and Linear Transformations
- Apr 22, 2026
Learning about Mathplotlib for data visualization
- Apr 21, 2026
Learned a whole bunch of things(most things I've done before), learn about solving systems of linear equations, rank of a matrix, echelon form, diagonal matrix and Gaussian elimination method
- Apr 20, 2026
Build something for the Zama builder bounty
- Apr 19, 2026
Learned about python basics such as variables, lists and loops
- Apr 18, 2026
PyTorch is the dominant framework in research and modern ML — TensorFlow has lost the research community