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"A data model is a machine learning feature used in Salesforce. A data model is a representation or abstraction of a real-world phenomenon or process using data structures and algorithms. A data model can be used to describe, analyze, or predict various aspects of the phenomenon or process using machine learning techniques."
Recent Comments (The most recent comments are at the top.)
Randy Regber - Dec 02, 2024
Right it's A A. AI that can grow its intelligence
However, let's refine the definition for clarity:
Machine Learning (ML) is a subset of artificial intelligence (AI) that allows systems to learn and improve from experience without being explicitly programmed. ML uses algorithms and statistical models to analyze and learn patterns from data, enabling it to make predictions or decisions.
The other options:
B refers to generative AI, a specific application of machine learning. C is a misunderstanding; while Salesforce uses machine learning models, machine learning itself is not a "data model" specific to Salesforce.
Randy Regber - Dec 02, 2024
Right it's A A. AI that can grow its intelligence
However, let's refine the definition for clarity:
Machine Learning (ML) is a subset of artificial intelligence (AI) that allows systems to learn and improve from experience without being explicitly programmed. ML uses algorithms and statistical models to analyze and learn patterns from data, enabling it to make predictions or decisions.
The other options:
B refers to generative AI, a specific application of machine learning. C is a misunderstanding; while Salesforce uses machine learning models, machine learning itself is not a "data model" specific to Salesforce.
chan - Oct 22, 2024
should be c , isn't it?
bako - Sep 30, 2024
@Aimen ML models doesn't grow after training stage
Recent Comments (The most recent comments are at the top.)
Right it's A
A. AI that can grow its intelligence
However, let's refine the definition for clarity:
Machine Learning (ML) is a subset of artificial intelligence (AI) that allows systems to learn and improve from experience without being explicitly programmed. ML uses algorithms and statistical models to analyze and learn patterns from data, enabling it to make predictions or decisions.
The other options:
B refers to generative AI, a specific application of machine learning.
C is a misunderstanding; while Salesforce uses machine learning models, machine learning itself is not a "data model" specific to Salesforce.
Right it's A
A. AI that can grow its intelligence
However, let's refine the definition for clarity:
Machine Learning (ML) is a subset of artificial intelligence (AI) that allows systems to learn and improve from experience without being explicitly programmed. ML uses algorithms and statistical models to analyze and learn patterns from data, enabling it to make predictions or decisions.
The other options:
B refers to generative AI, a specific application of machine learning.
C is a misunderstanding; while Salesforce uses machine learning models, machine learning itself is not a "data model" specific to Salesforce.
should be c , isn't it?
@Aimen
ML models doesn't grow after training stage
It's A. AI that can grow its intelligence