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  1. 6. Business Analytics, Data Analytics, and Data Science An Introduction | Skyhighes | Data Science

    6. Business Analytics, Data Analytics, and Data Science An Introduction | Skyhighes | Data Science

    27
  2. 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. 443. Introduction to Terms with Multiple Meanings | Skyhighes | Data Science

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

    29
  5. 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
  6. 388. Business Case Learning and Interpreting the Result | Skyhighes | Data Science

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

    53
  7. 362. Adaptive Learning Rate Schedules (AdaGrad and RMSprop ) | Skyhighes | Data Science

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

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

    361. Learning Rate Schedules Visualized | Skyhighes | Data Science

    19
  9. 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
  10. 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
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  12. 407. Basic NN Example with TF Model Output | Skyhighes | Data Science

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

    21
  13. 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
  14. 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
  15. 398. An Overview of non-NN Approaches | Skyhighes | Data Science

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

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

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

    15
  21. 8. A Breakdown of our Data Science Infographic | Skyhighes | Data Science

    8. A Breakdown of our Data Science Infographic | Skyhighes | Data Science

    12
  23. 374. MNIST Preprocess the Data - Shuffle and Batch | Skyhighes | Data Science

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

    10
  24. 51. A Practical Example of Bayesian Inference | Skyhighes | Data Science

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

    15