Machine Learning Terminology

noun a machine that converts energy into mechanical force or motion

• The engine of the car is designed to provide optimal performance.
• I heard the engine of that motorcycle roaring down the street.
• Let's rev up the engine and hit the road!
• Education is often seen as the engine that drives societal progress.

noun a general statement or concept obtained by inference from specific cases

• It is important to avoid making sweeping generalizations based on limited data.
• Don't jump to conclusions without all the facts; generalizations can be misleading.
• Making assumptions without knowing all the details is a rookie mistake; avoid generalizing.
• Just because one person had a bad experience doesn't mean it's a generalization for everyone.

noun the act of combining resources or efforts for a common purpose

verb the act of combining resources or efforts for a common purpose

• The concept of pooling resources is often used in business collaborations.
• Let's pool our money together to buy a new car.
• We're all pooling in for the party next weekend.
• Pooling our talents together, we were able to create a masterpiece.

noun a curve shaped like the letter S

adjective having a sigmoid shape or curve

• The sigmoid function is commonly used in machine learning for binary classification tasks.
• The sigmoid curve on the graph shows how the data is distributed.
• That sigmoid thingy is like a squiggly line that helps us understand the data better.
• Her mood followed a sigmoid pattern, starting low, rising to a peak, and then gradually falling again.

noun the state or quality of being similar; resemblance or likeness

adjective similar in appearance, character, or nature

• The researchers found a striking similarity between the two datasets.
• There's a lot of similarity between these two things.
• These two are like peas in a pod, so much similarity!
• The similarity between their personalities is like looking in a mirror.

noun RBF can be misleading as it may not accurately reflect a person's true emotions.

• Radial Basis Function (RBF) is a mathematical function used in machine learning for pattern recognition.
• I used RBF to improve the accuracy of my machine learning model.
• RBF is like a magic formula that helps the computer learn better.
• The RBF acts as a bridge between the input data and the output prediction in machine learning.

noun a large storage repository that holds vast amounts of raw data in its native format until it is needed

• The company implemented a data lake to store and analyze large volumes of structured and unstructured data.
• We're using a data lake to keep all our data organized and easily accessible.
• Our data lake is like a giant pool where we throw all our data in and fish out insights.
• Think of a data lake as a vast ocean where all our data swims freely for us to catch and study.

noun ML stands for machine learning, which is a type of artificial intelligence that allows systems to learn from data and improve over time.

• Machine learning (ML) algorithms are being used to analyze large datasets in various industries.
• I'm learning about ML in my computer science class.
• ML is like magic, it can predict outcomes based on data.
• ML is like a puzzle solver, finding patterns in the chaos of information.

noun a type of machine learning that uses multiple layers of neural networks to analyze and learn from data

adjective describing the type of learning that is characterized by a high level of complexity and abstraction

• Deep learning is a subset of artificial intelligence that involves training neural networks on large amounts of data.
• I've been reading up on deep learning and it's really fascinating how computers can learn on their own.
• I'm diving into deep learning to see if I can teach my computer some new tricks.
• Exploring the depths of deep learning is like unraveling the mysteries of the digital world.

noun a collection of objects, typically one on top of another

verb arranging in a stack or piles

• The process of stacking boxes in the warehouse is done systematically to maximize space.
• I'm just stacking up these books on the shelf for now.
• I'm stacking cash like there's no tomorrow.
• She's stacking up her achievements one by one, aiming for success.