Why Do You Need Python as a Machine Learning Engineer?

Python as a Machine Learning Engineer

Python is undoubtedly the best choice for machine learning engineers. In this article, we’re going to discuss the uses of Python as a Machine Learning Engineer. It’s easy to understand, which makes data validation quick and error-free. By having access to a widely developed library ecosystem, developers can perform complicated tasks without extensive coding.

Fortunately, due to its widespread popularity as a general-purpose programming language, as well as its adoption in both scientific computing and machine learning, coming across beginner’s tutorials on the internet is not very difficult.

Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning focuses on the development of Computer Programs that can change when exposed to new data.

Python as a Machine Learning Engineer

Python community has developed many modules to help programmers implement machine learning. In this article, we will be discussing the uses of Python as a Machine Learning Engineer.

  • Machine Learning is a branch that analyses data and learns to predict future outcomes.
  • Machine Learning is making the computer learn from studying data and statistics.
  • Machine Learning is a step in the direction of artificial intelligence (AI).

Need of python as a Machine Learning Engineer

Machine learning involves a computer being trained using a given set of data, and use this training to predict the properties of a given new data. For example, we can train a computer by feeding it 1000 images of cats and 1000 more images that are not of a cat, and tell each time to the computer whether a picture is a cat or not. Then if we show the computer a new image, then from the above training, the computer should be able to tell whether this new image is a cat or not.
The process of training and prediction involves the use of specialized algorithms. We feed the training data to an algorithm, and the algorithm uses this training data to give predictions on new test data.

In this video by AI Sciences, you’re going to learn about 5 awesome Machine Learning projects you can create using python.

Video By: AI Sciences (Youtube)

If you’re interested in pursuing your career as an ML engineer, you should join Masters in Data Science Programme by Console Flare, which focuses on using Python as a Machine Learning Engineer and gives you practical knowledge about real-world use of Python in Data Science.

Content reference: Geeksforgeeks.org

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