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The world of artificial intelligence may seem like a scary one for some people to comprehend.
Science fiction movies like the Terminator or A.I. make it seem like a future involving artificial intelligence is going to spell humanity's doom.
However, this isn't the case.
Developers and programmers and those who work in tech, work constantly so that machines based on artificial intelligence can help us in our daily lives.
Artificial intelligence makes it possible for machines to mimic our human problem-solving and decision-making capabilities.
This is a concept that decades ago just seemed like something out of a comic book or a TV show like the Twilight Zone.
How exactly can people engineer machines to have artificial intelligence?
Part of this complicated process is the need for coding and programmers that understand different programming languages. Of course, there are many other parts involved but a programmer of course will be important to a company trying to engineer a machine with artificial intelligence.
Python is one of the programming languages that are available to programmers working on artificial intelligence projects.
Python is an excellent programming language to use as it is extremely easy to learn and figure out compared to other programming languages.
If you are a beginner or just starting to learn about programming languages and algorithms then Python can help you a lot in the field of artificial intelligence as well as data science, or game and web development.
So what exactly is artificial intelligence and how can we use it?
Also, how can Python aid in the development of artificial intelligence?
What Exactly is Artificial Intelligence?
Artificial intelligence is a step up from machine learning.
The study and production of artificial intelligence are teaching a machine how to problem solve and make decisions the same way that a human being can, if not better.
However, some people don't understand this concept fully and end up thinking we'll all be controlled by a crazy machine hive mind.
Fortunately, this isn't what scientists around the world are currently working on.
While many machines are already made to complete a single task over and over again, artificial intelligence is for machines that require more. Artificial intelligence is the science of making machines intelligent, above all computer programs.
There are four principal objectives or definitions that separate computer systems based on thinking rather than just acting.
Human Approach
- Systems that think like humans
- Systems that act like humans
Ideal Approach
- Systems that think rationally
- Systems that act rationally
Artificial intelligence is a field that involves computer systems and a lot of datasets, there for programmers are important for the advancement of artificial intelligence.
Artificial intelligence does not need to be pre-programmed, instead, they use algorithms that can function with their intelligence.
Thanks to machine algorithms a machine using artificial intelligence can learn from reinforcement learning algorithms, which is one of the methods of teaching a machine how to learn by itself.
Nowadays we can find artificial intelligence all around our homes, we all know Siri and Alexa, there are more instances of artificial intelligence in our daily lives as well, for example, if you are a chess player going up against an AI on a computer or video game.
We can classify artificial intelligence into three categories.
- Weak artificial intelligence
- General artificial intelligence
- Strong artificial intelligence
Currently, the examples you have just read such as Alexa and Siri that can answer you and solve problems for you would be considered as weak or general artificial intelligence.
We still don't have machines that can think as well or even better than we do. If and when that day arrives we can classify that level of artificial intelligence as strong intelligence.
The use of machine learning is an important part of the development of artificial intelligence so what is the difference between artificial intelligence and machine learning?
How Is Artificial Intelligence Different Than Machine Learning
While some of the explanation of artificial intelligence sounds quite a bit like machine learning they are quite different and at the same time have quite a bit in common.
Machine learning is part of what makes up artificial intelligence. The study of machine learning, which is teaching a machine to learn without human input is involved in the study of artificial intelligence.
| Artificial Intelligence | Machine Learning |
|---|---|
| Artificial intelligence allows machine to mimic human behavior | Machine learning enables a machine to learn automatically from past experiences and programming |
| The objective of artificial intelligence able to solve complex problems | The objective of machine learning is to let machines learn from data |
| AI has a much larger scope | Machine learning is much more limited |
| AI includes learning and reasoning | Machine learning includes self correction |
As you can see, the study and objectives of artificial intelligence are more advanced than that of machine learning. Machine learning is important in the process of artificial intelligence.
Python and Artificial Intelligence
Programming languages play a major role in artificial intelligence. Python is one of the most popular programming languages used by developers in the world today.
Advantages of Python
Python is what is known as an interpreted language. It doesn't need to be made into machine language instruction before an action is executed and it can be used by a developer directly so that it runs the program.
This means there are a few key advantages of using Python when it comes to working in artificial intelligence.
- High-level programming language
- Dynamic type system
The High-level programming language can be used when scenarios are much more complicated. These high-level languages are meant to handle variables, arrays, objects, complex arithmetic, or other expressions and concepts.
The dynamic type system also offers programmers and developers a large variety of paradigms. These paradigms include object/oriented, imperative, functional, and procedural among many others.
Why Choose Python Over Other Programming Languages?
Python is considered to be one of the most popular programming languages on the market. It is not only popular in the world of artificial intelligence but plenty of other fields, especially for these reasons.
Python's Libraries
Python has prebuilt libraries that are great and useful for the development of artificial intelligence. Prebuilt libraries like Numpy are great and built for scientific computation and Scipy for advanced computing. The libraries that Python offers are magnificent for experienced developers as well as for new learners.
- Aima - This library is an implementation of algorithms from "Artificial Intelligence: A Modern Approach"
- pyDatalog - An engine based on logical programming
- SimpleAI - Python implementation of a large amount of the artificial intelligence algorithms described in the "Artificial Intelligence: A Modern Approach" book. It is a very easy to use the library
- EasyAI - A Python engine that is designed for the development of two-player games, this is a very simple engine
The Python Community
Forums exist with users and developers from all over the globe that uses Python. Thanks to this community of developers any issues that may arise can be fixed thanks to assistance from other members of the Python internet community.
Python Has Simple Coding
Python is an independent platform which makes it very flexible for users. You can use Python easily across a variety of different platforms and it gives you the least problems with its basic coding.
Decoding with Python
Various libraries are used for decoding that was made by and belong to Python. Pandas for example is a great example of an open-source library. It is an easy-to-use library thanks to its easy-to-use data structures and tools for Python.
In general, the major advantage of Python is how easy it is to use compared to other programming languages which gives it a huge advantage, especially for users that want to work in artificial intelligence but don't have the experience yet with coding or programming.
There are so many different libraries and pre-written code that you won't have much trouble getting started.
How to Get Started With Python
There are plenty of online resources for Python that if you want to start learning how to use the language it can be quite easy to get your feet off the ground.
As mentioned earlier Python has a community available where you can ask questions and get answers from developers and programmers that are experienced with the programming language.
Those are great options, but have you thought about studying Python with a tutor?
There aren't any study methods that offer as many advantages as a private tutor.
Another fantastic way of learning how to use Python for artificial intelligence or other purposes is by using the tutoring platform, Superprof.
Superprof has plenty of online tutors that specialize in programming languages and artificial intelligence.
You may not be able to study with a highly advanced tutoring robot, but tutors from Superprof can teach you everything you need to know for a good price and make learning about Python fun and interesting.
The platform that connects tutors and students
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