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  1. 475. Selecting the Inputs for the Logistic Regression | Skyhighes | Data Science

    475. Selecting the Inputs for the Logistic Regression | Skyhighes | Data Science

    2
  7. 160. How to Create a Function with a Parameter | Skyhighes | Data Science

    160. How to Create a Function with a Parameter | Skyhighes | Data Science

    8
  8. 404. Types of File Formats, supporting Tensors | Skyhighes | Data Science

    404. Types of File Formats, supporting Tensors | Skyhighes | Data Science

    12
  10. 63. Continuous Distributions The Chi-Squared Distribution | Skyhighes | Data Science

    63. Continuous Distributions The Chi-Squared Distribution | Skyhighes | Data Science

    5
  12. Big Data by Timandra Harkness | Summary

    Big Data by Timandra Harkness | Summary

    1
  18. 33. Solving Variations without Repetition | Skyhighes | Data Science

    33. Solving Variations without Repetition | Skyhighes | Data Science

    14
  22. 331. TensorFlow Outline and Comparison with Other Libraries | Skyhighes | Data Science

    331. TensorFlow Outline and Comparison with Other Libraries | Skyhighes | Data Science

    7
  23. 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
  24. 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
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