Machine Learning 101
This branch of AI trains algorithms to find patterns in data without being explicitly programmed.
What is Machine Learning?
This subset of ML uses neural networks with multiple layers to model complex patterns.
What is Deep Learning?
This dataset is used to teach the model patterns from the problem domain.
What is Training Data?
This algorithm predicts continuous values, like housing prices.
What is Linear Regression?
In healthcare, AI is used for diagnosis, drug discovery, and this type of personalized treatment.
What is Personalized Medicine?
In this type of ML, algorithms learn from labeled data, such as predicting house prices.
What is Supervised Learning?
These neural networks are widely used in image recognition and computer vision.
What are Convolutional Neural Networks (CNNs)?
This dataset tunes hyperparameters and helps prevent overfitting.
What is Validation Data?
This algorithm predicts binary outcomes, like spam or not spam.
What is Logistic Regression?
Fraud detection and algorithmic trading are AI applications in this industry.
What is Finance?
Algorithms in this ML type discover hidden patterns in unlabeled data, like customer groupings.
What is Unsupervised Learning?
These networks process sequential data like text or time series.
What are Recurrent Neural Networks (RNNs)?
This dataset evaluates how well a model performs on unseen data.
What is Testing Data?
These algorithms build "trees" of decisions and are often grouped into forests.
What are Decision Trees and Random Forests?
Recommendation systems and chatbots are common in this industry.
What is Retail?
This ML method trains an agent by rewarding good actions and penalizing bad ones.
What is Reinforcement Learning?
Transformers are most famous for revolutionizing this AI subfield involving language.
What is Natural Language Processing (NLP)?
A common data split is 70% training, 15% validation, and this percent for testing.
What is 15%?
This unsupervised algorithm groups data into clusters based on similarity.
What is K-Means Clustering?
Predictive maintenance and quality control are AI applications in this sector.
What is Manufacturing?
A robot learning to walk through trial and error is an example of this learning approach.
What is Reinforcement Learning?
Unlike RNNs, Transformers use this mechanism to capture long-range dependencies in text.
What is the Attention Mechanism?
Ensuring this aspect of datasets is crucial, since bad inputs lead to bad outputs.
What is Data Quality?
This technique reduces the dimensionality of datasets by finding principal components.
What is Principal Component Analysis (PCA)?
Optimizing supply chains is an AI use case in both retail and this production-heavy industry.
What is Manufacturing?