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  1. 323. Optimization Algorithm 1-Parameter Gradient Descent | Skyhighes | Data Science

    323. Optimization Algorithm 1-Parameter Gradient Descent | Skyhighes | Data Science

    8
  2. 164. Functions Containing a Few Arguments | Skyhighes | Data Science

    164. Functions Containing a Few Arguments | Skyhighes | Data Science

    9
  4. 317. The Linear Model with Multiple Inputs | Skyhighes | Data Science

    317. The Linear Model with Multiple Inputs | Skyhighes | Data Science

    5
  5. 372. MNIST Preprocess the Data - Create a Validation Set and Scale It | Skyhighes | Data Science

    372. MNIST Preprocess the Data - Create a Validation Set and Scale It | Skyhighes | Data Science

    7
  6. 53. Types of Probability Distributions | Skyhighes | Data Science

    53. Types of Probability Distributions | Skyhighes | Data Science

    7
  7. 62. Continuous Distributions The Students' T Distribution | Skyhighes | Data Science

    62. Continuous Distributions The Students' T Distribution | Skyhighes | Data Science

    5
  9. 430. Business Case A Comment on the Homework | Skyhighes | Data Science

    430. Business Case A Comment on the Homework | Skyhighes | Data Science

    10
  13. Client Work (Coursework) |COMP16412 Java Programming- Selfish Game Project|University of Manchester

    Client Work (Coursework) |COMP16412 Java Programming- Selfish Game Project|University of Manchester

    4
  14. 360. Learning Rate Schedules, or How to Choose the Optimal Learning Rate | Skyhighes | Data Science

    360. Learning Rate Schedules, or How to Choose the Optimal Learning Rate | Skyhighes | Data Science

    35
  18. 135. Practical Example Hypothesis Testing | Skyhighes | Data Science

    135. Practical Example Hypothesis Testing | Skyhighes | Data Science

    10
  24. 233. Introduction to Logistic Regression | Skyhighes | Data Science

    233. Introduction to Logistic Regression | Skyhighes | Data Science

    7
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