Tähän tulee youtube video, sen saa edukamu komponentistä nimeltä testvideo-youtube.yaml
Python is one of the most, if not the most used programming language. It's a high-level, relatively easily readable general-purpose language. It works on multiple platforms such as Windows, Mac, Linux, and Raspberry Pi. It's an interpreted language, which means that the code can be executed as soon as it is written. This allows for fast prototyping.
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When we show up to the present moment with all of our senses, we invite the world to fill us with joy. The pains of the past are behind us. The future has yet to unfold. But the now is full of beauty simply waiting for our attention.
NumPy offers multi-dimensional array and matrix processing capabilities and high-level mathematical functions. It is used by many other extensions.
Interpolation, optimization, statistics, and linear algebra are some of the numerical routines that the SciPy library offers. It is a part of a larger SciPy stack, which contains NumPy, SciPy library, pandas, SumPy, IPython, Matplotlib, and others.
Scikit-learn is an open-source python library that provides functionality for supervised- and unsupervised learning, data analysis, and dataset transformations. It's built on top of NumPy, SciPy, and matplotlib.
An open-source platform for machine learning, developed by the Google Brain team. TensorFlow offers tools, libraries, and community resources for creating ML solutions. The TensorFlow site also offers guides from beginner level to advanced, on how to start your first neural network projects and more.
Tähän tulee youtube video, sen saa edukamu komponentistä nimeltä testvideo-youtube.yaml
Watch the video above and find out what tools and libraries were used and for what purposes. Can you find alternatives on the internet? How do these tools compare to some other popular tools?
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