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  1. 371. MNIST Importing the Relevant Packages and Loading the Data | Skyhighes | Data Science

    371. MNIST Importing the Relevant Packages and Loading the Data | Skyhighes | Data Science

    11
  2. 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

    33
  3. 5. What is the difference between Analysis and Analytics | Skyhighes | Data Science

    5. What is the difference between Analysis and Analytics | Skyhighes | Data Science

    25
  4. 4. Data Science and Business Buzzwords Why are there so Many | Skyhighes | Data Science

    4. Data Science and Business Buzzwords Why are there so Many | Skyhighes | Data Science

    23
  5. 445. Using a Statistical Approach towards the Solution to the Exercise | Skyhighes | Data Science

    445. Using a Statistical Approach towards the Solution to the Exercise | Skyhighes | Data Science

    35
  6. 51. A Practical Example of Bayesian Inference | Skyhighes | Data Science

    51. A Practical Example of Bayesian Inference | Skyhighes | Data Science

    15
  7. 437. Game Plan for this Python, SQL, and Tableau Business Exercise | Skyhighes | Data Science

    437. Game Plan for this Python, SQL, and Tableau Business Exercise | Skyhighes | Data Science

    40
  8. 443. Introduction to Terms with Multiple Meanings | Skyhighes | Data Science

    443. Introduction to Terms with Multiple Meanings | Skyhighes | Data Science

    29
  10. 449. Analyzing the Reasons for Absence | Skyhighes | Data Science

    449. Analyzing the Reasons for Absence | Skyhighes | Data Science

    18
  11. 407. Basic NN Example with TF Model Output | Skyhighes | Data Science

    407. Basic NN Example with TF Model Output | Skyhighes | Data Science

    21
  12. 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

    21
  13. 405. Basic NN Example with TF Inputs, Outputs, Targets, Weights, Biases | Skyhighes | Data Science

    405. Basic NN Example with TF Inputs, Outputs, Targets, Weights, Biases | Skyhighes | Data Science

    31
  14. 398. An Overview of non-NN Approaches | Skyhighes | Data Science

    398. An Overview of non-NN Approaches | Skyhighes | Data Science

    22
  19. 494. Analyzing Age vs Probability in Tableau | Skyhighes | Data Science

    494. Analyzing Age vs Probability in Tableau | Skyhighes | Data Science

    15
  20. 322. Common Objective Functions Cross-Entropy Loss | Skyhighes | Data Science

    322. Common Objective Functions Cross-Entropy Loss | Skyhighes | Data Science

    6
  21. 321. Common Objective Functions L2-norm Loss | Skyhighes | Data Science

    321. Common Objective Functions L2-norm Loss | Skyhighes | Data Science

    6
  23. 319. Graphical Representation of Simple Neural Networks | Skyhighes | Data Science

    319. Graphical Representation of Simple Neural Networks | Skyhighes | Data Science

    6
  24. 384. Business Case Preprocessing the Data | Skyhighes | Data Science

    384. Business Case Preprocessing the Data | Skyhighes | Data Science

    17
  25. 388. Business Case Learning and Interpreting the Result | Skyhighes | Data Science

    388. Business Case Learning and Interpreting the Result | Skyhighes | Data Science

    53