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  2. 124. Test for the Mean. Population Variance Known | Skyhighes | Data Science

    124. Test for the Mean. Population Variance Known | Skyhighes | Data Science

    5
  3. 403. Actual Introduction to TensorFlow | Skyhighes | Data Science

    403. Actual Introduction to TensorFlow | Skyhighes | Data Science

    6
  4. 336. Interpreting the Result and Extracting the Weights and Bias | Skyhighes | Data Science

    336. Interpreting the Result and Extracting the Weights and Bias | Skyhighes | Data Science

    11
  5. 56. Discrete Distributions The Bernoulli Distribution | Skyhighes | Data Science

    56. Discrete Distributions The Bernoulli Distribution | Skyhighes | Data Science

    5
  6. 59. Characteristics of Continuous Distributions | Skyhighes | Data Science

    59. Characteristics of Continuous Distributions | Skyhighes | Data Science

    5
  8. 260. Pros and Cons of K-Means Clustering | Skyhighes | Data Science

    260. Pros and Cons of K-Means Clustering | Skyhighes | Data Science

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  9. 356. State-of-the-Art Method - (Xavier) Glorot Initialization | Skyhighes | Data Science

    356. State-of-the-Art Method - (Xavier) Glorot Initialization | Skyhighes | Data Science

    5
  10. 275. Analyzing a client database with ChatGPT in Python | Skyhighes | Data Science

    275. Analyzing a client database with ChatGPT in Python | Skyhighes | Data Science

    3
  11. 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. 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
  14. 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
  15. 17. Techniques for Working with Traditional Methods | Skyhighes | Data Science

    17. Techniques for Working with Traditional Methods | Skyhighes | Data Science

    13
  16. 21. Real Life Examples of Machine Learning (ML) | Skyhighes | Data Science

    21. Real Life Examples of Machine Learning (ML) | Skyhighes | Data Science

    15
  17. 13. Techniques for Working with Big Data | Skyhighes | Data Science

    13. Techniques for Working with Big Data | Skyhighes | Data Science

    13
  18. 22. Necessary Programming Languages and Software Used in Data Science | Skyhighes | Data Science

    22. Necessary Programming Languages and Software Used in Data Science | Skyhighes | Data Science

    19
  19. 10. The Reason Behind These Disciplines | Skyhighes | Data Science

    10. The Reason Behind These Disciplines | Skyhighes | Data Science

    11
  20. 64. Continuous Distributions The Exponential Distribution | Skyhighes | Data Science

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

    8
  22. 65. Continuous Distributions The Logistic Distribution | Skyhighes | Data Science

    65. Continuous Distributions The Logistic Distribution | Skyhighes | Data Science

    9
  24. 455. Classifying the Various Reasons for Absence | Skyhighes | Data Science

    455. Classifying the Various Reasons for Absence | Skyhighes | Data Science

    10
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