VizuaraVizuara AI Pods

Foundations of Machine Learning

This course will cover foundation of ML and will be focusing on mathematical aspects in Machine Learning

intermediate~24 hours11 pods live

Pods in this Course

Vector, Basis and Linear Transformation
1

Vector, Basis and Linear Transformation

What are vectors and how we can represent entities in form vecotr and matrix and span, baiss, linear transformation

~4h7 notebooksCase study
Importance Eigen Values and Eigen Vectors in Machine Learning
2

Importance Eigen Values and Eigen Vectors in Machine Learning

Importance Eigen Values and Eigen Vectors in Machine Learning

~2h3 notebooksCase study
Probability Distribution in Machine Learning
3

Probability Distribution in Machine Learning

Probability Distribution in Machine Learning

~3h5 notebooksCase study
All About LSTM
4

All About LSTM

All About LSTM

~3h5 notebooksCase study
Statistics in Machine Learning
5

Statistics in Machine Learning

Statistics in Machine Learning

~2h4 notebooksCase study
Gradient Descent and Why Learning Rates Misbehave
6

Gradient Descent and Why Learning Rates Misbehave

Gradient Descent and Why Learning Rates Misbehave

~5h9 notebooksCase study
Backpropagation from Scratch: Computing Every Gradient by Hand
7

Backpropagation from Scratch: Computing Every Gradient by Hand

Backpropagation from Scratch: Computing Every Gradient by Hand

~4h8 notebooksCase study
The Bias-Variance Tradeoff, Diagnosed on Real Data
8

The Bias-Variance Tradeoff, Diagnosed on Real Data

The Bias-Variance Tradeoff, Diagnosed on Real Data

~5h9 notebooksCase study
Convolution from Scratch: How a CNN Actually Sees an Image
9

Convolution from Scratch: How a CNN Actually Sees an Image

Convolution from Scratch: How a CNN Actually Sees an Image

~5h9 notebooksCase study
Regularization from Scratch: L2, L1 and Dropout — How to Cure an Overfit Model
10

Regularization from Scratch: L2, L1 and Dropout — How to Cure an Overfit Model

Regularization from Scratch: L2, L1 and Dropout — How to Cure an Overfit Model

~4h8 notebooksCase study
Softmax and Cross-Entropy from Scratch: Why the Gradient Is Just Prediction minus Truth
11

Softmax and Cross-Entropy from Scratch: Why the Gradient Is Just Prediction minus Truth

Softmax and Cross-Entropy from Scratch: Why the Gradient Is Just Prediction minus Truth

~5h9 notebooksCase study