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In machine learning, what is the term for the process of reducing the dimensionality of data while preserving as much information as possible?
In data modeling, what is the term for the process of reducing the dimensionality of data while preserving its important features?
In Data Science, what is the term for the process of reducing the dimensionality of a dataset while preserving information?
Which of the following statements are true?
Statement I Big data refers to no precise quantity, but generally refers to data in the range of Petabytes and Exabyte, i.e. billions to trillions of records, all from various sources. Big data is generated much faster. than traditional data in much larger quantities.
Statement II Big data interests industries because they are able to learn more patterns and curious variances than smaller data sets, with the capability to provide valuable insights into consumer behaviour, weather systems, financial market activity, or other phenomena.
Statement III Various departments and product lines use various applications within most organisations and store data in separate datasets. These separate databases may contain similar data, but data from one data base to another is not always consistent. This is called data silo.
What is the term for the process of reducing the dimensionality of data while retaining its most important features?
Consider the following statements regarding database normal forms: 1. Any relation with two attributes is BCNF. 2. Lossless, dependency - preserving decomposition into BCNF is always possible. 3. Lossless, dependency - preserving decomposition into 3NF is always possible. 4. BCNF is stricter than 3NF. Which of the above statements are correct?
Two processes X and Y need to access a critical section. Consider the following synchronization construct used by both the processes Process ? /* other code for process ? */ while(true) { varP = true; while(varQ == true) { /* Critical Section */ varP = false; } } /* other code for process ?? */   Process ? /* other code for process ? */ while(true) { varQ = true; while(varP == true) { /* Critical Section */ varQ = false; } } /* other code for process ? */   Here, varP and varQ are shared variables and both are initialized to false. Which one of the following statements is true?
In data science, what is the term for the process of converting text data into numerical form while preserving semantic meaning?
Which one of the following is true with regard to a CPU having a single interrupt request line and single interrupt grant line? i) Neither vectored nor multiple interrupting devices is possible. ii) Vectored interrupts is not possible but multiple interrupting devices is possible. iii) Vectored interrupts is possible and multiple interrupting devices is not possible. iv) Both vectored and multiple interrupting devices are possible.
The following items consist of two statements, one labeled as “Assertion (A)” and the other labeled as the “Reason (R)”. You are to examine the two statements carefully and decide if the Assertion (A) and the Reason (R) are individually true and if so whether the reason is a correct explanation of the assertion. Select your answer to these items using the codes given below and mark your answer accordingly. Assertion (A): Polarization preserving fibers have a special core design that maintains the state of polarization. Reason (R): In polarization preserving fibers, there is a stress applying part, which creates slow and fast axes in the core.