Podcast
Questions and Answers
What type of learning uses labeled data with a specific goal?
What type of learning uses labeled data with a specific goal?
- Supervised Learning (correct)
- Unsupervised Learning
- Semi-supervised Learning
- Reinforcement Learning
In machine learning, what is used for predicting a categorical variable like 'cat' or 'dog'?
In machine learning, what is used for predicting a categorical variable like 'cat' or 'dog'?
- Linear Regression
- Association Rule Learning
- K-means Clustering
- Logistic Regression (correct)
What is the step in data preparation that involves creating features that contribute to a prediction?
What is the step in data preparation that involves creating features that contribute to a prediction?
- Data Ingestion
- Neural Networks
- Feature engineering (correct)
- PubSub
Which type of layer in an Artificial Neural Network (ANN) sums each input multiplied by a weight?
Which type of layer in an Artificial Neural Network (ANN) sums each input multiplied by a weight?
What should you do if the loss function oscillates during training?
What should you do if the loss function oscillates during training?
Which activation function converts the input to a value between 0 and 1 for binary class classification?
Which activation function converts the input to a value between 0 and 1 for binary class classification?
What is used to calculate the difference between the NN prediction and the actual result?
What is used to calculate the difference between the NN prediction and the actual result?
What does precision measure in the context of machine learning?
What does precision measure in the context of machine learning?
Which option provides the highest level of control and parameter tuning in AI model training?
Which option provides the highest level of control and parameter tuning in AI model training?
Which layer in TensorFlow provides building blocks to create machine learning model like neural network layers and evaluation metrics?
Which layer in TensorFlow provides building blocks to create machine learning model like neural network layers and evaluation metrics?
What type of learning uses unlabeled data for pattern recognition?
What type of learning uses unlabeled data for pattern recognition?
Which technique is used for predicting a numeric value like forecasting sales in machine learning?
Which technique is used for predicting a numeric value like forecasting sales in machine learning?
What step in data preparation involves creating features that contribute to a prediction?
What step in data preparation involves creating features that contribute to a prediction?
Which layer of an Artificial Neural Network (ANN) has the weighted sum of hidden layers?
Which layer of an Artificial Neural Network (ANN) has the weighted sum of hidden layers?
What should be done to address a situation where the model doesn't fit well or converge?
What should be done to address a situation where the model doesn't fit well or converge?
Which function is responsible for converting a linear network to a non-linear network?
Which function is responsible for converting a linear network to a non-linear network?
In the context of machine learning, what does gradient descent aim to find?
In the context of machine learning, what does gradient descent aim to find?
Which activation function is suitable for multi-class classification where the output is a probability distribution?
Which activation function is suitable for multi-class classification where the output is a probability distribution?
What should be the initial approach to batch size when training a model?
What should be the initial approach to batch size when training a model?
Which TensorFlow abstraction layer provides basic and numeric processing functions?
Which TensorFlow abstraction layer provides basic and numeric processing functions?
