Implementing TF-IDF from Scratch
David Oniani
Implementing TF-IDF from Scratch
22:52
Implementing Principal Component Analysis (PCA) from Scratch
David Oniani
Implementing Principal Component Analysis (PCA) from Scratch
23:07
Recommender Systems: Generalized Matrix Factorization from Scratch
David Oniani
Recommender Systems: Generalized Matrix Factorization from Scratch
23:05
Image Classification: VGG Model from Scratch
David Oniani
Image Classification: VGG Model from Scratch
27:09
Image Classification: CNN for MNIST (+Deep Learning Project Setup)
David Oniani
Image Classification: CNN for MNIST (+Deep Learning Project Setup)
30:53
Implementing a Convolution from Scratch (+ Baby Yoda)
David Oniani
Implementing a Convolution from Scratch (+ Baby Yoda)
19:01
Implementing Distance Functions from Scratch
David Oniani
Implementing Distance Functions from Scratch
17:20
Implementing k-Means Clustering from Scratch
David Oniani
Implementing k-Means Clustering from Scratch
11:33
Discussing Batch, Stochastic, and Mini-Batch Gradient Descent
David Oniani
Discussing Batch, Stochastic, and Mini-Batch Gradient Descent
20:20
Implementing Tanh and Its Derivative from Scratch
David Oniani
Implementing Tanh and Its Derivative from Scratch
23:33
Implementing SERF and Its Derivative from Scratch (r/MachineLearning special)
David Oniani
Implementing SERF and Its Derivative from Scratch (r/MachineLearning special)
15:29
Implementing Swish and Its Derivative from Scratch
David Oniani
Implementing Swish and Its Derivative from Scratch
15:58
Implementing GELU and Its Derivative from Scratch
David Oniani
Implementing GELU and Its Derivative from Scratch
15:36
Implementing Leaky ReLU and Its Derivative from Scratch
David Oniani
Implementing Leaky ReLU and Its Derivative from Scratch
9:06
Implementing ReLU and Its Derivative from Scratch
David Oniani
Implementing ReLU and Its Derivative from Scratch
13:29
Implementing Sigmoid and Its Derivative from Scratch
David Oniani
Implementing Sigmoid and Its Derivative from Scratch
14:53
Implementing Logistic Regression from Scratch
David Oniani
Implementing Logistic Regression from Scratch
12:35
AI/ML Model API Design and Numerical Stability (follow-up)
David Oniani
AI/ML Model API Design and Numerical Stability (follow-up)
17:27
Implementing Linear Regression from Scratch
David Oniani
Implementing Linear Regression from Scratch
12:48
Implementing K-Nearest Neighbors (k-NN) from Scratch
David Oniani
Implementing K-Nearest Neighbors (k-NN) from Scratch
16:53
Implementing Gaussian Naive Bayes from Scratch
David Oniani
Implementing Gaussian Naive Bayes from Scratch
10:26