Importance of Python Language in Artificial Intelligence, Machine Learning and Data Science.

 

Python and Artificial Intelligence

Python is an interpreted, high-level interpreted programming language, intended specifically for rapid prototyping and integration with other languages. The most popular use of python is as an object-oriented programming language (OOP) language. It is the fundamental language of the data science community, where many open source projects develop their libraries, which help to solve complex real world problems, using large datasets and can be used in a very efficient manner. It has also a huge community around it, so that any user, or developer, can easily get the latest information about the current development within less than seconds of asking the question. Its syntax supports for both traditional expressions like expression, as well as new ones like functional programming, decorator, method, etc., which are more often than not used for computation in artificial intelligence systems. In simple terms, it creates objects, performs operations on them, then returns what you give it.

In addition to that, we can say that this platform allows us to solve problems, which we didn’t know existed and can’t solve so easy. One of the biggest advantages of Python is that it allows us to quickly create powerful algorithms that solve problems like machine learning, deep neural networks, speech recognition, etc., by coding. We all have heard about Deep Learning and Natural Language Processing (NLP) algorithms, but how they actually do? Let’s build one to understand what these algorithms are doing in our system. This technology is called Chatbots. These applications that have been developed with AI systems, for example Siri, Alexa, Google Assistant, Apple Pay, Amazon Go, etc., are based on Machine Learning. They help a human to communicate with machines, especially when there are no physical interfaces available. But what exactly is Machine Learning? As opposed to Computer Science, machine learning is the field that studies computer algorithms in order to make computers behave intelligently when given tasks. Unlike Artificial Intelligence-type intelligence, Machine Learning allows us to train models that can recognize patterns in data without explicitly being programmed, creating predictive models, which we can then put into action. For example, let’s assume that two employees want to work together. They must be able to go to an office together, come back home together, go back to another office together, and perform the same task in each office twice. To achieve this goal, they are trained to visit one office twice and one time they see an employee from their previous office. But if the model only sees the employees in the first place, then you are not going to find out that the two workers were friends or they had worked together before. Therefore, you need at least some amount of training, i.e. a lot of times the employee visited the same office twice, then finally the model comes up with the conclusion. Here’s how you do that, and these examples are already part of your everyday life:

You can tell a car to turn off its engine if someone asked it to do that.

You can tell a self-driving car and make sure that it gets into a safe lane.

You can set a timer to buy something from the store. The app will ask you until the time runs out, to confirm that you have bought it.

You can tell an application to perform an operation with your fingerprint. You can unlock your phone, sign in to Facebook, etc.; it just needs to recognize your fingerprints.

You know who is going to win a game, but you don’t know whether the person is good. A prediction engine built in IBM Watson played itself 10 times against humans in 2015. Because the program saw so much data, it understood so much about the situation and made its own conclusions.

You can write code that tells a robot to keep moving. By giving it a command, it will move to the next location.

You can set a timer for yourself, which will wait for your food delivery.

You can tell a camera to show you a specific area that needs to be cleaned.

You can tell a voice assistant to turn down the volume. This one is working pretty well nowadays.

You can teach a robot to dance. I mean that instead of following people around the house and moving, my robot will follow me around — making sure that I stay still for longer periods. Then I will hear a song playing, and so on.

You can have a conversation with a virtual assistant. You can call it a chatbot, because it isn’t a human being anymore, but just some software.

You can tell an alarm clock to wake me up at the crack of dawn. Or wake up a baby with commands. Just saying something like ’Open my wallet’ and clicking OK after few seconds will wake me up.

It doesn’t matter where you live, if you have some food on the table, you can order it by clicking a button then it takes 5 minutes for it to arrive.

You can play games with robots. An example is how you could see a bird with the help of a special kind of paint that only exists in China and can only be used by birds. If you think it works, try it, there are no rules, after all.

You can create social networks and bots from the browser. That means it is possible to start collecting users and make a bot, as long as you have an Internet connection and a smartphone. Even now, chatbots are really cool. They allow you to interact with bots on the web or even with those on your mobile device. There is so many services, where you can connect your account or your real name to make a chatbot. So far the best example is Meerkat, a Messenger bot which was created by Andrew McMeekin and his team at Stanford University. He was using a custom domain to collect messages from users, they created a website called Bot.ai and they wanted to make a bot accessible to everyone. A week ago Meerkat released a demo bot in the form of a gif, it used to respond to users but now it also works on keywords of answers and questions. It was designed to test the concept of building such thing. Now developers have the opportunity to write tools, for example on Wix, you can upload files and upload the HTML codes instead of creating links and images and add your picture. You can also create a service around your image, which takes your picture (with copyright), and writes a description, which is linked to the actual business page of the company, in fact it does with out charge.

So, this short post touches upon one topic. We are living in the age of artificial intelligence, let’s take advantage of it. This technology can solve problems in our lives and allow us to create a wonderful future for ourselves. So please consider using Python for development of your own personal projects. Not only did we have this article to share, but it also teaches how to deal with common errors when using the software and to save a script into memory, which will later be needed to run certain functions.