1)How many memory cards (how many can you computer hold)
2)Company (some companies run better than others)
3)Amount of memory (xGb)
Answer:
Types of Hybrid Computers:
1. Large Electronic Hybrid Computer
2. General-Purpose Hybrid Computers
3. Special-Purpose Hybrid Computers
Examples of Hybrid Computers
1. Gasoline Station
2. Electrocardiogram Machine
3. Ultrasound Machine
4. Monitoring Machine
5. Research and Production Industries
6. Forensic
7. Defence
Types of Analogue Computers
1. Slide Rules
2. Differential Analysers
3. Castle Clock
4. Electronic Analogue Computers
5. Mechanical Analogue Computers
Examples of Analogue Computers
1. Thermometer
2. Speedometer
3. Analogue Clock
4. Seismometer
5. Voltmeter
6. Flight Simulators
7. Tide Predictors
Types of Digital Computers
1. Micro Computer
2. Mini Computer
3. Mainframe Computer
4. Super Computer
Examples of Digital Computers
1. Calculator
2. Digital Clock
3. Automobiles
4. Weighing Machine
5. Consumer Electronic Equipments
6. Smart Phones
7. Laptop/Personal Computer
8. ATM
Bayes’ Theorem provides a way that we can calculate the probability of a piece of data belonging to a given class, given our prior knowledge.
P(class|data) = (P(data|class) * P(class)) / P(data)
Where P(class|data) is the probability of class given the provided data.
Explanation:
- Naive Bayes is a classification algorithm for binary and multiclass classification problems.
- It is called Naive Bayes or idiot Bayes because the calculations of the probabilities for each class are simplified to make their calculations tractable.
This Naive Bayes tutorial is broken down into 5 parts:
Step 1: Separate By Class : Calculate the probability of data by the class they belong to, the so-called base rate. Separate our training data by class.
Step 2: Summarize Dataset : The two statistics we require from a given dataset are the mean and the standard deviation
The mean is the average value and can be calculated using :
mean = sum(x)/n * count(x)
Step 3: Summarize Data By Class : Statistics from our training dataset organized by class.
Step 4: Gaussian Probability Density Function : Probability or likelihood of observing a given real-value. One way we can do this is to assume that the values are drawn from a distribution, such as a bell curve or Gaussian distribution.
Step 5: Class Probabilities : The statistics calculated from our training data to calculate probabilities for new data. Probabilities are calculated separately for each class. This means that we first calculate the probability that a new piece of data belongs to the first class, then calculate the second class, on for all the classes.
The temperature controller
Answer:
Violence.
Explanation:
Peacemaking criminology believes that our justice system it's just using a different form of violence to deal with violence.
This movement states that we need to re-enter violent individuals into society, and sees crime as a direct result of a determinate social structure, such as extreme poverty, violent environments, racial hate, etc.
