Python

Python

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   • Machine learning (ML) is the study of computer algorithms that can improve automatically through experience and by the use of data. It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so.

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   • DATA SCIENCE: is just about as broad of a term as they come. It may be easiest to describe what it is by listing its more concrete components: *Data exploration & analysis *Data visualization *Data visualization *Deep learning *Data storage and big data frameworks *Odds and ends

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   • IA: Python comes with a huge amount of inbuilt libraries. Many of the libraries are for Artificial Intelligence and Machine Learning. Some of the libraries are TensorFlow (which is a high-level neural network library), scikit-learn (for data mining, data analysis and machine learning), pylearn2 (more flexible than scikit-learn), etc. The list keeps going and never ends. You can find some libraries here. Python has an easy implementation for OpenCV. What makes Python favorite for everyone is its powerful and easy implementation.

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   • Python is a high-level general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. Its language constructs and object-oriented approach aim to help programmers write clear, logical code for small- and large-scale projects

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   • Python is an interpreted programming language whose philosophy emphasizes the readability of its code. It is a multi-paradigm programming language, since it partially supports object orientation, imperative programming and, to a lesser extent, functional programming.

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