Jyoti Nigania

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List of Best Open Source ML Libraries For Python

By Jyoti Nigania |Email | Aug 23, 2018 | 14286 Views

Deep Learning is a subset of Machine Learning and it works on the structure and functions of a human brain. It learns from the data that is structured and uses complex algorithms to train a neural net. This is a learning mechanism. Deep learning is a neural network somewhat looks like this there is something known as an input layer and then there is an output layer and in between there are a bunch of hidden layers so typically it would be at least one hidden layer and anything more than one hidden layer is known as a deep neural network so any neural network with more than three layers altogether right based known as a deep neural.
Open source platform like Python play an important role in the Machine learning market. In the recent years Python has gained a lot of attraction in Machine learning. Python has a large collection of libraries. The simplicity of python has attracted many developers to build libraries for Machine learning.

Some of the best Machine Learning libraries for Python are :
  • Scikit-Learn.
  • Numpy.
  • Keras.
  • TensorFlow
  • Theano.

Scikit-Learn:

  • Simple and efficient tools for data mining and data analysis
  • It provides efficient solutions to machine learning problems


Numpy:

  • NumPy is an acronym for "Numeric Python" or Numerical Library.
  • It provides fast precompiled functions for mathematical and numerical routines

Keras:

  • Designed to enable fast experimentation with deep neural networks, it focuses on being user-friendly, modular, and extensible.

Tensor Flow:

  • TensorFlow is an open source software library for numerical computation using data flow graphs
  • If you are using Google photos or Google voice search then indirectly you are using the models built using Tensorflow.

Theano:

  • It is a numerical computation library for Python
  • It allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays
Hence, these are the best open source machine learning libraries written in Python tensor-flow is one of the most popular machine learning frameworks and the tensors are really very handy in terms of keeping the data compact because they are like multi-dimensional arrays so the data is stored in tensors and then it is fed into the neural network. 

Source: HOB
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