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  1. 450. Obtaining Dummies from a Single Feature | Skyhighes | Data Science

    450. Obtaining Dummies from a Single Feature | Skyhighes | Data Science

    10
  2. 433. What are Data Connectivity, APIs, and Endpoints | Skyhighes | Data Science

    433. What are Data Connectivity, APIs, and Endpoints | Skyhighes | Data Science

    10
  3. 432. What are Data, Servers, Clients, Requests, and Responses | Skyhighes | Data Science

    432. What are Data, Servers, Clients, Requests, and Responses | Skyhighes | Data Science

    6
  4. 404. Types of File Formats, supporting Tensors | Skyhighes | Data Science

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

    12
  5. 403. Actual Introduction to TensorFlow | Skyhighes | Data Science

    403. Actual Introduction to TensorFlow | Skyhighes | Data Science

    4
  7. 367. Preprocessing Categorical Data | Skyhighes | Data Science

    367. Preprocessing Categorical Data | Skyhighes | Data Science

    11
  11. 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
  15. 377. MNIST Select the Loss and the Optimizer | Skyhighes | Data Science

    377. MNIST Select the Loss and the Optimizer | Skyhighes | Data Science

    10
  16. 383. Business Case Balancing the Dataset | Skyhighes | Data Science

    383. Business Case Balancing the Dataset | Skyhighes | Data Science

    11
  17. 382. Business Case Outlining the Solution | Skyhighes | Data Science

    382. Business Case Outlining the Solution | Skyhighes | Data Science

    6
  19. 372. MNIST Preprocess the Data - Create a Validation Set and Scale It | Skyhighes | Data Science

    372. MNIST Preprocess the Data - Create a Validation Set and Scale It | Skyhighes | Data Science

    7
  20. 363. Adam (Adaptive Moment Estimation) | Skyhighes | Data Science

    363. Adam (Adaptive Moment Estimation) | Skyhighes | Data Science

    6
  21. 488. Preparing the Deployment of the Model through a Module | Skyhighes | Data Science

    488. Preparing the Deployment of the Model through a Module | Skyhighes | Data Science

    7
  22. 324. Optimization Algorithm n-Parameter Gradient Descent | Skyhighes | Data Science

    324. Optimization Algorithm n-Parameter Gradient Descent | Skyhighes | Data Science

    7
  23. 323. Optimization Algorithm 1-Parameter Gradient Descent | Skyhighes | Data Science

    323. Optimization Algorithm 1-Parameter Gradient Descent | Skyhighes | Data Science

    8
  25. 46. The Conditional Probability Formula | Skyhighes | Data Science

    46. The Conditional Probability Formula | Skyhighes | Data Science

    14