Answer:
Maybe is against the community
Explanation:
Answer:
Training data is used to fine-tune the algorithm’s parameters and evaluate how good the model is
Explanation:
The statement about datasets used in Machine Learning that is NOT true is "Training data is used to fine-tune algorithm’s parameters and evaluate how good the model is."
This is based on the fact that a Training dataset is a process in which a dataset model is trained for corresponding it essentially to fit the parameters.
Also, Testing the dataset is a process of examining the performance of the dataset. This refers to hidden data for which predictions are determined.
And Validation of dataset is a process in which results are verified to perfect the algorithm's details or parameters
Answer:
1GL: Machine language. Represented by a series of 1s and 0s.
2GL: Assembly language. An assembler converts 2GL into machine language.
3GL: High-level programming language. Uses a compiler to convert into machine language.
4GL: Specifically designed for creating database management programs.
5GL: Extremely advanced. Uses statements (scripts) rather than algorithms.
Explanation:
Programming languages started as a series of binary digits (i.e. 0's and 1'). This generation of language is referred to as the first generation.
However, the machine language were difficult to read by human, so mnemonics were created (i.e. assembly language). This language uses symbolic codes such as ADD for addition, etc. This is the second generation
The third generation are the high level languages that uses languages that can be easily understood by human, e.g. + means plus. However, the language must be translated; hence the need for a compiler or interpreter, as the case may be.
The fourth and fifth generations are extensions of the third generation languages. The fourth were created to connect to DBMS while the fifth are more advanced.
Answer:
oh for me there is maybe try reloading?
Explanation:
