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We have so many Programming languages such as Java,python,C++, can be used for AI Applications. Here Python plays a major Role when dealing with Artificial Intelligence.

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1.Artificial Intelligence with Python:

Python Includes less coding and good Syntax, when we compare it with other, programming languages. Correspondingly Used for Developing and Implementing AI applications. By this method the testing process will be simple and easy.

a)Python Libraries for AI:

Why we are using, python for AI, means, it has Inbuilt libraries which can used for all types of AI projects. It can be Implemented for very high scripting tasks like company web apps. This is the beautiful thing that we can say, that python is beneficial for Artificial Intelligence projects.

b)Data Preparation:

In our work process we get huge Data in Raw method. In the same way to give the data to machine learning algorithms. We have to convert that into a meaningful Data. This is the point where Data Processing comes into the point. We can say that in a simple way that we need machine learning algorithms for processing the Data.

2.Steps for Data processing:

a)Importing Packages:

When we use python, first step is converting Data into useful format. That can be termed as the following.

b)Import numpy as NP:

It is Array Processing chamber, which is Implemented to handle multi-dimensional arrays of Arbitrary Files. Without Considering multi- Dimensional Arrays.

c)Sk learn import Pre-processing:

It provides many transformer classes and functions to modify raw upcoming vectors. Into a Representation, which is more matched for machine learning algorithms.

d)Computer Vision:

Not only Replacement but also Modeling is countable. The vision of a person, with hardware and software. Computer vision is format. That which learns to Redesign, modify and think about it in 3d and 2d Images.

3.Design in Computer Vision:

a)Low Vision:

It contains Image process Extraction Feature.

b)Intermediate Vision:

As a matter of Fact using 3D scene Interpretation and Object Recognition was implemented.

c)High level Vision:

It works on Concept Writing like behavior.

d)Image Processing and Computer Vision:

Image Processing includes Image modification. The Input and output of Image Processing are two Images. Where if we come to computer vision Process, it designs the readable Descriptions of physical things from their own Image. so, Hence in the first place, Result of computer vision is explanation of Designs in three Dimensional view.

4.Applications:

a)Automation Applications:

1)Understanding Documents like OCR.

2)Sorting objects.

3)labeling as well as Bar coding.

4) Assembling.

5)Detecting Defects.

b)Transportation:

1)Monitoring Driving Process.

2)Checking Independent Vehicles.

c)Security Features:

1)Detecting Unwanted Behaviors.

2) Finger prints and Bio metrics.

d)Medical Features:

1)Implementing Surgery with Robotics.

2) Organ Reconstruction with 3D MRI or Ultra sound.

3) Three Dimensional and two Dimensional Segmentation.

4) Not only Detection but also classification.

e)Robotics:

1) Robots and Human Interactions.

2) Handling with Robots.

3) Assembling Process like painting and welding.

4) Navigation Systems.

5) Determining location of Robots in automatic way.

4.Natural language Toolkit:

For Designing Applications in Natural Language Processing. The Modification process makes context more complicated. Because the context Factor make to understand how machine will think about humans, think about Context.

5.Importation:

Similarly, when we Use it, We should install Natural language tool kit.

Pip install NLTK.

These are the best known facts about Artificial Intelligence With Python, in upcoming blogs we will update more Data on this Topic.