MACHINE LEARNING A BAYESIAN AND
OPTIMIZATION PERSPECTIVE
CERTIFICATION EVALUATION COMPLETE
QUESTIONS AND SOLUTIONS GRADED
APLUS
●● AI
Answer: Artificial Intelligence - systems performing tasks like pattern
recognition, language understanding, or predictions via learned behavior
from data.
●● AI Agent
Answer: Software that perceives its environment, selects actions toward
a goal, and acts—often in iterative loops of plan→act→observe.
●● AI Assistant
Answer: A conversational interface (text or voice) that helps with tasks
like answering questions, drafting content, operating apps, or automating
workflows.
●● AI Browser
,Answer: A browser or layer embedding AI features such as
summarization, inline Q&A, or form-filling, often via LLM-powered
extensions.
●● AI Ethics
Answer: The study and implementation of fair, transparent, safe AI
systems—covering bias mitigation, privacy, explainability,
accountability, environmental and societal impacts.
●● AI Phone
Answer: A smartphone promoting on-device AI features (e.g.
transcription, summarization, editing), often with fallback to cloud
inference.
●● AI Safety
Answer: Engineering and research focused on keeping advanced AI
aligned with human values, controllable, and robust against misuse.
●● AI Search
Answer: Search systems that understand natural-language queries,
synthesize answers (with citations), combining retrieval, LLM
generation, and live browsing.
●● Algorithm
, Answer: A step-by-step computational procedure; in ML, defines how
models learn from data.
●● Alignment
Answer: Assuring AI systems pursue intended human goals and respect
constraints as capabilities scale, through techniques like RLHF or
governance policies.
●● Anthropic
Answer: An AI lab founded by ex-OpenAI researchers, creators of the
Claude model family and Constitutional AI methodology.
●● API
Answer: A set of rules enabling programs to communicate; AI APIs add
capabilities like image recognition or text generation without custom
training.
●● ASR (Automatic Speech Recognition)
Answer: Software converting spoken audio to text using acoustic-
language modeling, handling accents, noise, and code-switching.
●● Attention Mechanism
Answer: A neural component that weights input tokens by importance
during processing—key to the scalability of Transformer models.
OPTIMIZATION PERSPECTIVE
CERTIFICATION EVALUATION COMPLETE
QUESTIONS AND SOLUTIONS GRADED
APLUS
●● AI
Answer: Artificial Intelligence - systems performing tasks like pattern
recognition, language understanding, or predictions via learned behavior
from data.
●● AI Agent
Answer: Software that perceives its environment, selects actions toward
a goal, and acts—often in iterative loops of plan→act→observe.
●● AI Assistant
Answer: A conversational interface (text or voice) that helps with tasks
like answering questions, drafting content, operating apps, or automating
workflows.
●● AI Browser
,Answer: A browser or layer embedding AI features such as
summarization, inline Q&A, or form-filling, often via LLM-powered
extensions.
●● AI Ethics
Answer: The study and implementation of fair, transparent, safe AI
systems—covering bias mitigation, privacy, explainability,
accountability, environmental and societal impacts.
●● AI Phone
Answer: A smartphone promoting on-device AI features (e.g.
transcription, summarization, editing), often with fallback to cloud
inference.
●● AI Safety
Answer: Engineering and research focused on keeping advanced AI
aligned with human values, controllable, and robust against misuse.
●● AI Search
Answer: Search systems that understand natural-language queries,
synthesize answers (with citations), combining retrieval, LLM
generation, and live browsing.
●● Algorithm
, Answer: A step-by-step computational procedure; in ML, defines how
models learn from data.
●● Alignment
Answer: Assuring AI systems pursue intended human goals and respect
constraints as capabilities scale, through techniques like RLHF or
governance policies.
●● Anthropic
Answer: An AI lab founded by ex-OpenAI researchers, creators of the
Claude model family and Constitutional AI methodology.
●● API
Answer: A set of rules enabling programs to communicate; AI APIs add
capabilities like image recognition or text generation without custom
training.
●● ASR (Automatic Speech Recognition)
Answer: Software converting spoken audio to text using acoustic-
language modeling, handling accents, noise, and code-switching.
●● Attention Mechanism
Answer: A neural component that weights input tokens by importance
during processing—key to the scalability of Transformer models.
