Why Do We Use Python for Machine Learning & AI?

1. Why Do We Use Python for Machine Learning & AI?        You might have heard these words together : AI, Machine Learning and Python. The reason behind                   this is that ​Python is one of the most suitable languages for AI and ML​. Python is one of the simplest                     programming languages and AI and ML are the most complex technologies. This opposite               combination makes them to be together.     In simple words, I would like to make this clear that Machine learning is a really complex technology.                     Its algorithms are really complex and difficult to understand. And on the other hand, Python is               considered to be one of the most simplest languages. Its syntax structure and coding length is really                 short to understand. That is why Python is considered to be the most suitable language as it can                 manage complex algorithms in the simplest way.     Let's discuss these terms individually with their quick definition:    What is Artificial intelligence?    According to the father of Artificial Intelligence, John McCarthy, it is “The science and engineering of               making intelligent machines, especially intelligent computer programs”. Artificial Intelligence is a way           of making a computer, a computer-controlled robot, or a software that thinks intelligently, in the             similar manner the intelligent humans think.     AI is accomplished by studying how the human brain thinks and how humans learn, decide, and work                 while trying to solve a problem, and then using the outcomes of this study as a basis of developing                   intelligent software and systems.                                                                                                                                                                                                                 

2.       The necessity of learning AI    As we know that AI pursues creating the machines as intelligent as human beings. There are                 numerous reasons for us to study AI. The reasons are as follows:    AI can learn through data    In our daily life, we deal with huge amounts of data and the human brain cannot keep track of so                     much data. That is why we need to automate the things. For automation, we need to study AI because                     it can learn from data and can do repetitive tasks with accuracy and without tiredness.    AI can teach itself    It is very necessary that a system should teach itself because the data itself keeps changing and the                   knowledge which is derived from such data must be updated constantly. We can use AI to fulfill this                 purpose because an AI enabled system can teach itself.    AI can respond in real time    Artificial intelligence with the help of neural networks can analyze the data more deeply. Due to this               capability, AI can think and respond to the situations which are based on the conditions in real time.      Hire Python developers in India​ @ $12 per hour      AI and Python: Why?                                                                                                                   

3.     The obvious question that we need to encounter at this point is why we should choose Python               for AI over others.    Python offers the least code among others and is in fact 1/5 the number compared to other               OOP languages. No wonder it is one of the most popular in the market today.    Python has Prebuilt Libraries like Numpy for scientific computation, Scipy for advanced             computing and Pybrain for machine learning (Python Machine Learning) making it one of the             best languages For AI.  Python developers around the world provide comprehensive support and assistance via           forums and tutorials making the job of the coder easier than any other popular languages.    Python is platform Independent and is hence one of the most flexible and popular choiceS for               use across different platforms and technologies with the least tweaks in basic coding.    Python is the most flexible of all others with options to choose between OOPs approach and                   scripting. You can also use IDE itself to check for most codes and is a boon for developers                 struggling with different algorithms.                      ●                     ●               ●                           ●                   ●                   ●                     Let’s move forward towards the relation of Python with ML    What is Machine Learning?    It is one of the most popular fields of AI. The basic concept of this field is to make machine learning                       from data as the human beings can learn from his/her experience. It contains learning models on the                   basis of which the predictions can be made on unknown data.                                       

4. But Machine learning is having a complex algorithms and is difficult to manage that is why to have to               face certain challenges such as:     Challenges in Machines Learning    While Machine Learning is rapidly evolving, making significant strides with cybersecurity and             autonomous cars, this segment of AI as a whole still has a long way to go. The reason behind is that                   ML has not been able to overcome a number of challenges. The challenges that ML is facing currently                     are:    Quality of data: Having good-quality data for ML algorithms is one of the biggest challenges. Use of                 low-quality data leads to the problems related to data preprocessing and feature extraction.    Time-Consuming task: Another challenge faced by ML models is the consumption of time especially           for data acquisition, feature extraction and retrieval.  Lack of specialist persons: As ML technology is still in its infancy stage, availability of expert               resources is a tough job.    No clear objective for formulating business problems: Having no clear objective and well-defined             goal for business problems is another key challenge for ML because this technology is not that               mature yet.    Issue of overfitting & underfitting: ​If the model is overfitting or underfitting, it cannot be represented                   well for the problem.    Curse of dimensionality: Another challenge ML model faces is too many features of data points. This             can be a real hindrance.    Difficulty in deployment: Complexity of the ML model makes it quite difficult to be deployed in real               life.      These challenges raise the need why Python is the best language for Machine learning. So let’s have                 a look at those features of Python which make it the most suitable for Machine learning.       Python for Machine learning                                                                                                                                                                                                                                             

5.     Python is a popular object-oriented programming language having the capabilities of a high level           programming language. It's easy to learn syntax and portability makes it popular these days.     Easy to learn and understand    The syntax of Python is simpler; hence it is relatively easy, even for beginners also, to learn and                   understand the language.    Multi-purpose language    Python is a multi-purpose programming language because it supports structured programming,           object-oriented programming as well as functional programming.    Huge number of modules    Python has a huge number of modules for covering every aspect of programming. These modules are                 easily available for use hence making Python an extensible language.      Community    As being an open source programming language, Python is supported by a very large developer             community. Due to this, the bugs are easily fixed by the Python community. This characteristic makes                   Python very robust and adaptive.    Scalability    Python is a scalable programming language because it provides an improved structure for supporting             large programs than shell-scripts.    Read more: ​Top React Practices Every Web Developer Should Follow                                                                                                                     

6.   Final words    Well, in this way I have tried to make clear what is the role and importance of Python language in AI                         and ML. Yes, I can say that Python is one of the best and the most suitable languages for all AI and                         ML projects.     So, if you are looking to get developed with any of the AI or ML applications, you need to directly                     contact a top ​python web development company​ that has the best AI and ML, developers.    Good luck!