Featured Post

The Quick and Easy Way to Analyze Numpy Arrays

The quickest and easiest way to analyze NumPy arrays is by using the numpy.array() method. This method allows you to quickly and easily analyze the values contained in a numpy array. This method can also be used to find the sum, mean, standard deviation, max, min, and other useful analysis of the value contained within a numpy array. Sum You can find the sum of Numpy arrays using the np.sum() function.  For example:  import numpy as np  a = np.array([1,2,3,4,5])  b = np.array([6,7,8,9,10])  result = np.sum([a,b])  print(result)  # Output will be 55 Mean You can find the mean of a Numpy array using the np.mean() function. This function takes in an array as an argument and returns the mean of all the values in the array.  For example, the mean of a Numpy array of [1,2,3,4,5] would be  result = np.mean([1,2,3,4,5])  print(result)  #Output: 3.0 Standard Deviation To find the standard deviation of a Numpy array, you can use the NumPy std() function. This function takes in an array as a par

Top Skills You Need to Develop a modern App

The development of mobile applications provides many job opportunities. In today’s mobile world intelligent apps play a crucial role.

Skills to develop modern app

Modern Intelligent apps.

To understand correctly intelligent apps now ruling the world. They started 60 years ago, and they are now in a mature stage. 

Due to the increasing usage of mobile phones, the importance of Artificial Intelligence apps came into the limelight again.

Intelligent apps usage is quite a lot. The key applications are Voice to text, Text to Voice, and Image recognition.

Application of Intelligent Apps.

  • Planning
  • Vision
  • Voice recognition
  • Natural Language Processing
  • Self-driving cars
  • Help to physical Disabled people

Role of Robotics.

Agriculture needs many robots. They can work even in the rainy season. The construction field needs many robots to work on roof-tops. 

Deep-ocean where Robots requires for exploration of oil and pearls. 

Top Examples of Intelligent Apps.

  • PowerVocab 
  • UnlockyourBrain 
  • TED 
  • Casual


Popular posts from this blog

How to Decode TLV Quickly

7 AWS Interview Questions asked in Infosys, TCS