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  2. 374. MNIST Preprocess the Data - Shuffle and Batch | Skyhighes | Data Science

    374. MNIST Preprocess the Data - Shuffle and Batch | Skyhighes | Data Science

    10
  3. 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
  4. 362. Adaptive Learning Rate Schedules (AdaGrad and RMSprop ) | Skyhighes | Data Science

    362. Adaptive Learning Rate Schedules (AdaGrad and RMSprop ) | Skyhighes | Data Science

    24
  5. 361. Learning Rate Schedules Visualized | Skyhighes | Data Science

    361. Learning Rate Schedules Visualized | Skyhighes | Data Science

    19
  6. 358. Problems with Gradient Descent | Skyhighes | Data Science

    358. Problems with Gradient Descent | Skyhighes | Data Science

    35
  8. 287. Ethical principles in data and AI utilization | Skyhighes | Data Science

    287. Ethical principles in data and AI utilization | Skyhighes | Data Science

    10
  9. 496. Analyzing Reasons vs Probability in Tableau | Skyhighes | Data Science

    496. Analyzing Reasons vs Probability in Tableau | Skyhighes | Data Science

    11
  10. 297. Understanding Differences between Multinomial and Bernouilli Skyhighes | Data Science

    297. Understanding Differences between Multinomial and Bernouilli Skyhighes | Data Science

    10
  11. 286. Algorithm recommendation recommendation engine | Skyhighes | Data Science

    286. Algorithm recommendation recommendation engine | Skyhighes | Data Science

    10
  13. 306. Addition and Subtraction of Matrices | Skyhighes | Data Science

    306. Addition and Subtraction of Matrices | Skyhighes | Data Science

    5
  14. 415. MNIST Batching and Early Stopping | Skyhighes | Data Science

    415. MNIST Batching and Early Stopping | Skyhighes | Data Science

    3
  16. 480. Interpreting the Coefficients for Our Problem | Skyhighes | Data Science

    480. Interpreting the Coefficients for Our Problem | Skyhighes | Data Science

    3
  17. 517. pandas DataFrames - Indexing with .loc[] | Skyhighes | Data Science

    517. pandas DataFrames - Indexing with .loc[] | Skyhighes | Data Science

    21
  18. 516. pandas DataFrames - Indexing with .iloc[] | Skyhighes | Data Science

    516. pandas DataFrames - Indexing with .iloc[] | Skyhighes | Data Science

    18
  19. 515. Data Selection in pandas DataFrames | Skyhighes | Data Science

    515. Data Selection in pandas DataFrames | Skyhighes | Data Science

    14
  20. 514. pandas DataFrames - Common Attributes | Skyhighes | Data Science

    514. pandas DataFrames - Common Attributes | Skyhighes | Data Science

    8
  21. 512. Introduction to pandas DataFrames - Part I | Skyhighes | Data Science

    512. Introduction to pandas DataFrames - Part I | Skyhighes | Data Science

    11
  24. 509. Parameters and Arguments in pandas | Skyhighes | Data Science

    509. Parameters and Arguments in pandas | Skyhighes | Data Science

    14
  25. 507. Working with Methods in Python - Part I | Skyhighes | Data Science

    507. Working with Methods in Python - Part I | Skyhighes | Data Science

    15