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

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

    5
  4. 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
  5. 62. Continuous Distributions The Students' T Distribution | Skyhighes | Data Science

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

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

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

    10
  7. 394. What's Further out there in terms of Machine Learning | Skyhighes | Data Science

    394. What's Further out there in terms of Machine Learning | Skyhighes | Data Science

    46
    1
  8. 406. Basic NN Example with TF Loss Function and Gradient Descent | Skyhighes | Data Science

    406. Basic NN Example with TF Loss Function and Gradient Descent | Skyhighes | Data Science

    40
  9. 473. Exploring the Problem with a Machine Learning Mindset | Skyhighes | Data Science

    473. Exploring the Problem with a Machine Learning Mindset | Skyhighes | Data Science

    32
  10. 64. Continuous Distributions The Exponential Distribution | Skyhighes | Data Science

    64. Continuous Distributions The Exponential Distribution | Skyhighes | Data Science

    8
  11. 298. Machine Learning with Naïve Bayes (First Attempt) | Skyhighes | Data Science

    298. Machine Learning with Naïve Bayes (First Attempt) | Skyhighes | Data Science

    20