
Role of Machine learning and Artificial intelligence in short
In today's world, it can be said that Artificial Intelligence development and Machine Learning has become an idea which is necessary for every human being.
Ai plays an important role by managing the task which cannot be done manually as that may consume a lot of time as well as increased intensity and volume. So this can be regarded as the main reason why everyone chooses AI to analyze and also to access data that are in large quantities.
The human brain can also perform tasks like that of Artificial Intelligence but that is limited to a certain amount of data.
As we know the human brain is capable of absorbing limited data for a limited time. More accurate insights and predictions can be made by Artificial Intelligence. Not only this but Artificial Intelligence and Machine learning can also improve business efficiency, decrease production cost, and increase the rate of productivity.
There are many software development companies that are shifting to these technologies for cutting down the cost of development and increasing the efficiency rate.
In the year 2018, it can be said that the most commonly used programming language was JavaScript and HTML/CSS. But later on, Python took the ground and can be regarded as the most preferred programming language for Machine Learning and Artificial Intelligence.
As Ai and ML are implemented by most of the companies there generates a need for a programming language for developing AI and ML. Here Python leads the role with its simple syntax. Python is able to handle difficult process very easy.
Python can be regarded as the best programming language for AI and ML
There is a big corporation that invests in the field of AI and ML as various industries and channels are applying AI and ML.
So there is also a high demand for AI and ML experts. According to various researches, the strong side of Python has noted for which it is the most preferred programming language for AI and ML.
The reasons why people prefer Python in the field of AI and ML are given below-
A great ecosystem of library
Libraries play an important role in the case of every programming language. Here Python ahs a great library choice which makes it the best among others and also the most popular language for programming for AI and ML.
A library can be regarded as a module or a module group that is being published by various sources like PyPi. This is having a prewritten code that helps in allowing users for reaching some functionality or it can also help in performing various actions.
Base-level items are provided by the library of Python and so the developers feel very happy as they don't have to write code from the start.
Continuous data processing is essential for Machine Learning which is provided by the libraries of Python as they help in accessing, handling, and also transforming data.
Some of the important and widespread libraries that can be used for AI and ML are given below-
- Scikit-learn- This issue to handle basic algorithms of Machine Learning like linear, clustering and regression, classification, logistic regression, and various others.
- Pandas-
- This library is basically for the high-level data analysis and structures. This library helps in filtering as well as merging of data. Moreover, it also helps in gathering data from any kind of external source like that of Excel.
- TensorFlow This library is for deep learning by training, utilization of artificial neural networks, and setting up of huge datasets.
- Keras- This library is also for deep learning. It helps in allowing fast prototyping and calculations as it helps in using the GPU addition to the CPU computer.
- Matplotlib-
- This is used for creating plots of 2D form, charts, histograms, and various other visualization forms.
- NLTK- Developers use this library to work with natural recognition of language, processing, and computational linguistics.
- PyBrain- This is basically for reinforcement and unsupervised learning, neural networks, etc.
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- Caffe- Another deep learning library that helps in establishing perfect switching between the GPU and the CPU and also processing images of 60+ mln for a single day with the help of using a single NVIDIA K40 GPU.
- StatsModels- This library plays a role in data exploration as well as statistical algorithms.
- Scikit-image-
- Developers are also involved in processing images and so for image processing, this library is very much important.
A PyPi repository is there where developers can easily find other Python libraries and establish more comparison.
A barrier with low entry
If anyone is working in AI or ML companies, then it is for sure that they have to handle a bunch of data that you may need for processing in a convenient as well as effective way.
The low entry barrier basically plays a role in allowing the data scientists to quickly picking up Python and also to start using it for the development of AI without giving too much effort and time to learn the language.
The programming language of Python is similar to that of everyday English language and so it is easy for the beginner to learn.
The simple syntax of Python helps in allowing the developers for allowing them to work for complex programs. A python's community is always there for helping the developers and also providing them with advice to face any difficulties.
Flexibility
In the case of Machine Learning Python is a good choice because of the flexible nature of the language.
- There are options for choosing either scripting or OOPs.
- There is also no need for recompilation of the source code. So any changes can be implemented by the developers and after that, they can see the results quickly.
- In order to reach the goals of developers, they can also combine other languages with Python.
The style of programming can also be chosen by the developers and so it is flexible in nature. Developers will be selecting the style depending on which style they are comfortable with.
Moreover, they can also combine various styles to solve problems in an effective way.
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- Functional style- This also known as declarative as it helps in declaring the operations which are needed to be performed. The state of the program is not considered by this style when compared to the imperative style. In the form of a mathematical equation, the statement is declared.
- Object-oriented style- Ths style is basically having two concepts and they are clas and objects. It is not supported by Python fully but still, developers can use it.
- Procedural style- Beginners prefer this type of style as it helps in proceeding the task in a format that followed step by step.
- Imperative style- It is basically composed of commands which show the working of the computer with these commands. This helps in defining the computation sequence.
Possibility errors are decreased by this flexible nature of Python. Offshore Python developers often feel relax because of the flexible nature of Python.
Independent nature of the platform
Python is a versatile programming language. Python in the field of Machine Learning can easily run in platforms like Mac, Windows, Unix, Linux, and 21 other platforms.
Various small-scale changes must be done in order to transfer the process from a platform to another. Moreover, modification of some code lines is also essential. Packages like PyInstaller can be used by developers for preparing their code that can be run on other platforms.
So time, as well as money, can be saved and the whole process becomes convenient and simple.
Readability
Every Python developer can go through the codes as they are very easy to read and understand and they can also change.
Share or copy the code. There is no error, conflicting paradigms, or confusion and so it helps in the proper exchange of ideas, tools, and also algorithms between professionals of ML and AI.
IPython is a tool that is also available and this is also an interactive shell. This is used for providing additional features like tab-completion, debugging, testing, and many others which help in facilitating the process of work.
Because of this readability feature, many developers are learning this Python programming langue and so many companies are there from where you can hire Python developers for your work.
Options for good visualizations
As it has been mentioned that various libraries are offered by Python and some of them are having great visualization tools.
However, in the case of AI developers, it is very important that the data which is represented for AI, ML, and deep learning is in a readable format for humans.
For building charts, plots for good data comprehension, Histograms, effective visualization, and presentation Matplotlib is used which is a popular library preferred by various developers.
Different interfaces of application programming also play an important role in simplifying the process of visualization and make it very easy for creating clear reports.
Community support
It is very much helpful for any developers if there is a strong community for the programming language they are working with.
This community helps the developers in dealing with problems. As we already knew that Python is an open-source language which means there are an open bunch of resources that can be started by beginners and also used by pros.
In online a great amount of documentation for Python is available. This documentation is also present in the Python communities as well as forums. In these communities and forums, the developers can discuss problems, solve errors, and most importantly help each and others with their problems.
There are many Python development companies in India that hire developers and these developers stay free as they know that they are having the support of communities.
The programming language does not involve any kind of cost from the developers or the development company. Moreover, various tools as well as Python libraries are also free of cost.
Popularity
All of the mentioned advantages of Python make it a standalone one and so because of all these features te Python language for programming is very famous among the data scientists.
According to various data and researches, the popularity of Python has increased. The popularity is still growing and will become much more in the near future that is by the end of the year 2020.
As the Python programming language is popular, it can be said that the developers who will use Python programming language will be found easily.
So you can search for developers very easily and then you can also replace team players easily if you think that is essential for your project. Now coming to the costs involved it can be said that the cost for hiring the developers will not be high as they are using the popular programming language when compared to developers who use less popular languages for programming.
Conclusion
The nature of Python is basically open-source and so it helps in allowing the AI development companies for sharing their achievements among the community.
Hire AI developers who will understand your requirements and then hire Python developers for developing your AI and ML projects for your business. Both of these technologies that are AI and ML are growing at a very fast rate. In order to gain the market, different companies are keeping their focus on Python.