Answer:
Artificial intelligence (AI) is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals, which involves consciousness and emotionality. The distinction between the former and the latter categories is often revealed by the acronym chosen. 'Strong' AI is usually labelled as artificial general intelligence (AGI) while attempts to emulate 'natural' intelligence have been called artificial biological intelligence (ABI). Leading AI textbooks define the field as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals.Colloquially, the term "artificial intelligence" is often used to describe machines that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving".
As machines become increasingly capable, tasks considered to require "intelligence" are often removed from the definition of AI, a phenomenon known as the AI effect.A quip in Tesler's Theorem says "AI is whatever hasn't been done yet." For instance, optical character recognition is frequently excluded from things considered to be AI,having become a routine technology. Modern machine capabilities generally classified as AI include successfully understanding human speech,]competing at the highest level in strategic game systems (such as chess and Go), and also imperfect-information games like poker,[11] self-driving cars, intelligent routing in content delivery networks, and military simulations.
Artificial intelligence was founded as an academic discipline in 1955, and in the years since has experienced several waves of optimism,followed by disappointment and the loss of funding (known as an "AI winter") followed by new approaches, success and renewed funding.[ After AlphaGo successfully defeated a professional Go player in 2015, artificial intelligence once again attracted widespread global attention.For most of its history, AI research has been divided into sub-fields that often fail to communicate with each other. These sub-fields are based on technical considerations, such as particular goals (e.g. "robotics" or "machine learning"),the use of particular tools ("logic" or artificial neural networks), or deep philosophical differences. Sub-fields have also been based on social factors (particular institutions or the work of particular researchers
Explanation:
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Answer:
SELECT product_name, SUM(DISTINCT quantity) AS total_quantity
RANK() OVER (PARTITION BY total_quantity ORDER BY product_name) AS rank,
DENSE_RANK () OVER (ORDER BY quantity DESC) AS dense_rank
FROM Order_items
JOIN products ON Order_items.product_id = products.product_id
GROUP BY product_id
Explanation:
The SQL query returns four columns namely, product name, total quantity, rank and dense rank. The query uses the rank and the dense rank function to return the rows according to numeric ranks.
Answer:
import numpy as np
import matplotlib.pyplot as plt
def calculate_pi(x,y):
points_in_circle=0
for i in range(len(x)):
if np.sqrt(x[i]**2+y[i]**2)<=1:
points_in_circle+=1
pi_value=4*points_in_circle/len(x)
return pi_value
length=np.power(10,6)
x=np.random.rand(length)
y=np.random.rand(length)
pi=np.zeros(7)
sample_size=np.zeros(7)
for i in range(len(pi)):
xs=x[:np.power(10,i)]
ys=y[:np.power(10,i)]
sample_size[i]=len(xs)
pi_value=calculate_pi(xs,ys)
pi[i]=pi_value
print("The value of pi at different sample size is")
print(pi)
plt.plot(sample_size,np.abs(pi-np.pi))
plt.xscale('log')
plt.yscale('log')
plt.xlabel('sample size')
plt.ylabel('absolute error')
plt.title('Error Vs Sample Size')
plt.show()
Explanation:
The python program gets the sample size of circles and the areas and returns a plot of one against the other as a line plot. The numpy package is used to mathematically create the circle samples as a series of random numbers while matplotlib's pyplot is used to plot for the visual statistics of the features of the samples.
Answer:
Following python statement will give the assignment to testResult as specified:
if((geneticMarkerA == 1) or (geneticMarkerB ==1)):
testResult = 1
if((geneticMarkerA ==1) and (geneticMarkerB == 1)):
testResult = 0
if((geneticMarkerA == 0) and (geneticMarkerB == 0)):
testResult = 0
Explanation:
In above statements or and and operator are used to check the conditions of set of values present in variable geneticMarkerA and geneticMarkerB.
Based on if the condition evaluate to true or false respective values to testResult varaible is assigned.
Following is sample run for above statements:
geneticMarkerA = 1
geneticMarkerB = 0
if((geneticMarkerA == 1) or (geneticMarkerB ==1)):
testResult = 1
if((geneticMarkerA ==1) and (geneticMarkerB == 1)):
testResult = 0
if((geneticMarkerA == 0) and (geneticMarkerB == 0)):
testResult = 0
print(testResult)
Output
1
I would think its the "<span>requirements analysis" phase.
Because the </span>requirements analysis<span>,</span><span> is the process of determining user expectations for a new or modified product.</span>
