1. 403. Actual Introduction to TensorFlow | Skyhighes | Data Science

    403. Actual Introduction to TensorFlow | Skyhighes | Data Science

    6
  2. 56. Discrete Distributions The Bernoulli Distribution | Skyhighes | Data Science

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

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

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

    7
  4. 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
  5. 275. Analyzing a client database with ChatGPT in Python | Skyhighes | Data Science

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

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  6. 205. What is sklearn and How is it Different from Other Packages | Skyhighes | Data Science

    205. What is sklearn and How is it Different from Other Packages | Skyhighes | Data Science

    12
  7. 32. Solving Variations with Repetition | Skyhighes | Data Science

    32. Solving Variations with Repetition | Skyhighes | Data Science

    12
  8. 144. Numbers and Boolean Values in Python | Skyhighes | Data Science

    144. Numbers and Boolean Values in Python | Skyhighes | Data Science

    11
  9. 287. Ethical principles in data and AI utilization | Skyhighes | Data Science

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

    14
  10. 344. Activation Functions Softmax Activation | Skyhighes | Data Science

    344. Activation Functions Softmax Activation | Skyhighes | Data Science

    7
  11. 294. Loading the Dataset and Preprocessing | Skyhighes | Data Science

    294. Loading the Dataset and Preprocessing | Skyhighes | Data Science

    14
  12. 413. MNIST Loss and Optimization Algorithm | Skyhighes | Data Science

    413. MNIST Loss and Optimization Algorithm | Skyhighes | Data Science

    12
  13. 475. Selecting the Inputs for the Logistic Regression | Skyhighes | Data Science

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

    2
  14. 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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  15. 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
  16. 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