MyPersonalFeed podcast

MyPersonalFeed

Justin

Abonnér
Del
.

32 Episoder

  • MyPersonalFeed podcast

    01 - Stanford CS229: Machine Learning Course

    13.7.2022

    1:15:19

    01 - Stanford CS229: Machine Learning Course
  • MyPersonalFeed podcast

    02 - Linear Regression & Gradient Descent

    13.7.2022

    1:18:16

    02 - Linear Regression & Gradient Descent
  • MyPersonalFeed podcast

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  • MyPersonalFeed podcast

    03 - Locally Weighted & Logistic Regression

    13.7.2022

    1:19:34

    03 - Locally Weighted & Logistic Regression
  • MyPersonalFeed podcast

    04 - Perceptron & Generalized Linear Model

    13.7.2022

    1:22:01

    04 - Perceptron & Generalized Linear Model
  • MyPersonalFeed podcast

    05 - GDA & Naive Bayes

    13.7.2022

    1:18:51

    05 - GDA & Naive Bayes
  • MyPersonalFeed podcast

    06 - Support Vector Machines

    13.7.2022

    1:20:56

    06 - Support Vector Machines
  • MyPersonalFeed podcast

    07 - Kernels

    13.7.2022

    1:20:24

    07 - Kernels
  • MyPersonalFeed podcast

    08 - Data Splits, Models & Cross-Validation

    13.7.2022

    1:23:25

    08 - Data Splits, Models & Cross-Validation
  • MyPersonalFeed podcast

    09 - Approx/Estimation Error & ERM

    13.7.2022

    1:26:02

    09 - Approx/Estimation Error & ERM
  • MyPersonalFeed podcast

    10 - Decision Trees & Ensemble Methods

    13.7.2022

    1:20:40

    10 - Decision Trees & Ensemble Methods
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