AWS Machine Learning Certification Exam 2023 with 100% correct answers

Amazon Sagemaker - correct answer Amazon SageMaker helps data scientists and developers to prepare, build, train, and deploy high-quality machine learning (ML) models quickly by bringing together a broad set of capabilities purpose-built for ML. Binary Classification Model - correct answer ML models for binary classification problems predict a binary outcome (one of two possible classes). Amazon ML uses logistic regression to train the model (discrete values) Multiclass Classification Model - correct answer ML models for multiclass classification problems allow you to generate predictions for multiple classes (predict one of more than two outcomes). Examples of Binary Classification Problems - correct answer Is this email spam or not spam?" "Will the customer buy this product?" "Is this product a book or a farm animal?" "Is this review written by a customer or a robot?" Examples of Multiclass Problems - correct answer Is this product a book, movie, or clothing?" "Is this movie a romantic comedy, documentary, or thriller?" "Which category of products is most interesting to this customer?" Regression Models - correct answer ML models for regression problems predict a numeric value.(continuous value) Examples of Regression Problems - correct answer What will the temperature be in Seattle tomorrow?" "For this product, how many units will sell?" "What price will this house sell for?" What are Activation Functions - correct answer A function that defines an output based on the several inputs or signals Which Activation function do i choose - correct answer 1. multi class problem , use Softmax at output layer 2. RNN does best with TanH or Hyberpolic 3. everything else, start with RELU then Leaky RELU then Paramteric RELU(PRELU)/maxout then Swish for relly deep deep networks What is Rec