If you are a fan of science fiction films then you probably have seen some films that have to do with machine learning. Machine learning is extremely important for the advancement of technology to keep give us advantages as machines can learn to do things faster and more efficiently without constantly being told what to do. Nowadays cars can park themselves, we can ask a box to plan our day, therefore imagine what machines and computers will be able to do a couple of decades from now. The field of machine learning is heavily monitoring people who study this topic and understand programming language. Coding and programming will be very important for technological companies who want to take leaps in the future with artificial intelligence.

The programming language Python is one of the programming languages that programmers use to advance the field of machine learning. Python comes with its advantages and disadvantages compared with other programming languages, however, we can say it is arguably the fastest-growing programming language and popular language by developers and new learners in the past decade. Python is also extremely useful in other fields in the development world such as web development, computer game development, and more.

Learning how to use a programming language is truly a huge advantage for developers in the job world and for the companies that find talented and qualified developers. This is why companies are more than willing to pay a big salary for those who are machine learning engineers, you can expect to earn a salary of over 100 thousand dollars a year as a machine learning engineer.

If you are just starting out and/or simply curious about how machine learning and Python are connected together we'll give you some information right here.

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What Exactly Is Machine Learning?

Lines of code on a monitor
Machine learning teaches robots how to function using programming and algorithms. Source: Unsplash

Machine learning is a type of study of artificial intelligence, for which the purpose is to teach machines how to learn without being told how to learn. In other words, it teaches the machine how to improve without human input.

The process of teaching machines how to learn comes from data, which data science is another important field of programming and development. There are a few different methods to which machines can learn automatically, in general, they need to follow text and labeled examples of algorithms and datasets to keep learning.

As a developer, the programming language is important in these methods and Python can be really useful.

Supervised Machine Learning Algorithms

This method is about using old data and learned experiences and applying it to new data so that it can predict future events. This method involves training a machine by using learned databases then practicing with the machine so that it learns to make correct predictions. Developers are needed to do the programming and fix and bugs in the process.

Unsupervised Machine Learning Algorithms

Unsupervised machine learning is machine learning without labeled examples. This method is more about improvisation on the machine's part. In this method, the machines don't understand the correct output but it uses conclusions from datasets to describe undiscovered structures from the unlabeled data.

Reinforcement Machine Learning Algorithm

This method is based on interacting with its environment by provoking actions and discovering rewards or errors. Earning more rewards is part of the reinforcement in the learning process for the machine. The positive feedback the machine gets helps it to keep learning and helps to maximize its overall performance.

The job to apply these methods is that of the machine learning engineer, he is tasked with helping to make the machine learn and improve its A.I. capabilities. A machine learning engineer has quite a few tasks and needs to be knowledgeable, of course, one is to know programming languages and how to code.

What a Machine Learning Engineer Does

A machine learning engineer is someone that uses his knowledge of IT and machines to increase the capacity of a machine to perform tasks without human input. Machine learning engineers create the algorithms so that a machine can learn and predict what it must do next correctly. This is what the definition of machine learning is and the engineers are the ones who make it happen.

A machine learning engineer, like in most companies, works as part of a team, especially with data scientists. Machine learning engineers act as a connection between data scientists and the ones who build the models. A machine learning engineer has quite a few tasks for their role.

  • Design and implement algorithms
  • Selecting data sets
  • Run machine learning tests
  • using results to improve models
  • Extend machine learning libraries

All of these tasks come with the necessity of knowing how data works and how coding and programming work. Therefore there is also a list of qualifications that a machine learning engineer needs.

  • Advanced math and statistics skills
  • Knowledge of coding and programming languages
  • Experience in data science
  • Software engineering skills
  • Experience in machine learning frameworks

There is quite a lot that goes into this job and as someone who is a programmer you can do it if you have the skills and know-how to code and have knowledge of different programming languages. If you haven't learned Python yet, it is a language that is easy to learn and can definitely help you in this field now or in the future.

Python and Machine Learning

Two monitors one with codes
Python can make machine learning very easy. Source: Unsplash

As with other fields of technology and Python, people choose programming for a number of reasons whether it is data science, web development, or machine learning a lot of people choose to program and code with Python because it is easy to use and easy to learn.

Using Python as a programming language you can create algorithms and code for a machine to use to learn from and eventually become able to work without human input.

So what reasons do machine learning engineers and developers have to choose Python for the purpose of machine learning?

Python Is Very Easy to Understand

Python is well equipped for the use of machine learning. As mentioned earlier, machine learning is a machine reading an algorithm again and again and learning from errors to be able to make predictions in the future. Python fits with machine learning as Python is easy to understand.

It is extremely easy to read Python which makes it extremely easy for the machine. Just as with game developing, prototyping is done extremely quickly with Python which makes it popular with developers of any kind.

Python's Large Number of Libraries

A huge advantage that Python has over other programming languages is its number of libraries. Whether it's for web development or data science or machine learning the amount of pre-written code makes it extremely easy for machine learning engineers.

Stickit-learn is a library ready-made for machine learning and someone that is just starting in machine learning or learning about programming languages with the aim of working in machine learning will benefit greatly from learning how to use Python.

Python Let's You Implement Easily

What is more unique about Python is how easy it is for the first-time machine learning engineers. With other programming languages, you would need to learn the language before beginning to use it for machine learning or artificial intelligence.

Thanks to the libraries and tools available in Python you don't need to have advanced knowledge of the programming language. Luckily if you just have basic knowledge of Python, you already have plenty of resources built-in.

Thanks to this you will also spend less time writing code and fixing errors as you would with other programming languages.

The Syntax and Readability of Python

Python is made with friendly syntax and modern scripting, this also makes it easier to use. Thanks to this programmers can test their hypotheses faster and easier. This is another feature that makes using Python much easier and faster for machine learning than other programming languages.

Python for Beginners

The great advantage of Python is how easy it is to learn how to use it. If you are thinking about learning programming for machine learning or need to learn the skill pretty quickly, Python would be perfect for you! Python is easy to learn and with basic knowledge of the language you'll be able to work in machine learning.

If you are an absolute beginner, using a website like Superprof to find a personal tutor, that specializes in teaching programming languages will help you immensely. You can find a qualified tutor easily on Spuerprof and one that has great reviews.

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Chris