15. AI and Machine Learning

artificial intelligence

a field of computer science that focuses on creating systems and machines capable of performing tasks that would typically require human intelligence.

deep learning

a subset of artificial intelligence that involves training artificial neural networks to recognize patterns and make decisions by progressively analyzing and learning from large datasets.

concentric

objects or shapes that share a common center but have different radii, with one inside the other.

blossom

the process of a flower opening up and developing its petals, often used metaphorically to describe growth and development.

simmer

to cook or heat something gently below boiling point; can also refer to a situation or emotion that is slowly developing or intensifying.

rally

to come together, often for a common cause, event, or activity, to show support, enthusiasm, or strength in numbers.

herald

to announce or signal something important or significant is coming; often used in the context of news or events.

toss

to throw something with a light, gentle motion; can also refer to making a decision by random chance.

parallel

things that are occurring or arranged in a similar way, without intersecting; can also refer to performing tasks simultaneously.

simultaneous

events or actions happening at the same time, in parallel or concurrently.

unleash

to release or set free, often used to describe a sudden or impactful release of something powerful or creative.

remain

to stay in a particular state or place; to continue to exist without change.

narrow

having a limited width; figuratively, it can refer to something limited in scope or extent.

exhibit

to display or showcase something publicly, often referring to a presentation of items or information.

parse

to analyze and break down a sentence, code, or piece of information into its component parts for understanding.

inductive

reasoning or logic that involves drawing general conclusions from specific observations or examples.

brittle

easily breakable or fragile; lacking flexibility or resilience

mind-bending

something extremely difficult to comprehend, often challenging the limits of one's understanding.

neural network

system inspired by the human brain's structure, used in deep learning to process information and recognize patterns.

data mining

the process of discovering patterns, relationships, and valuable information from large datasets.

Natural Language Processing (NLP)

the field of AI that focuses on enabling computers to understand, interpret, and generate human language.

supervised learning

a type of machine learning where models are trained using labeled data, with known input-output pairs.

unsupervised learning

a type of machine learning where models are trained on unlabeled data to find patterns or structures.

reinforcement learning

a machine learning paradigm where agents learn to make decisions through trial and error, guided by rewards and penalties.

algorithm

a step-by-step set of instructions designed to solve a specific problem or perform a task.

artificial neural network

a computational model inspired by the human brain, consisting of interconnected nodes (neurons) that process information.

feature extraction

the process of selecting and transforming relevant information from raw data to improve model performance.

regression

a statistical technique in machine learning used to predict continuous outcomes based on input variables.

overfitting

a situation in which a model learns noise from the training data and performs poorly on unseen data.

deep reinforcement learning

a combination of deep learning and reinforcement learning, often used for complex decision-making tasks.

transfer learning

a technique where a pre-trained model is used as a starting point for a new, related task, saving training time.

big data

extremely large and complex datasets that require specialized tools and techniques for analysis and processing.