A brief introduction to modern AI and a list of useful online courses for learning it properly. Includes courses about Machine Learning and Deep Learning. Also includes advanced courses that target development of AI applications and algorithms. Many courses will include specific tools (TensorFlow, Keras, Caffe2, PyTorch, etc.)
NumPy is the fundamental package for scientific computing in Python. Numpy stands for Numerical Python.
If you want to work with machine learning or data science, Numpy is a Python library you will mostly use.
It is a Python library that provides a multidimensional array object for fast operations on arrays, including mathematical, logical, shape manipulation, sorting, selecting, I/O, discrete Fourier transforms, basic linear algebra, basic statistical operations, and much more.
Libraries are collection of functions and methods that enable you to perform a wide variety of actions without writing the code yourself.
First of all, there are over 137.000 libraries in Python. In this article we are going to learn :
Scientific Computing Libraries in Python
Visualization Libraries in Python
High-Level Machine Learning and Deep Learning Libraries in Python
Deep Learning Libraries in Python
Python Libraries for NLP ( Natural Language Processing )
