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Best Python libraries for Machine Learning and Data Science : (Part -1)

Best #Python libraries for #MachineLearning and #DataScience (Part 1)  #BigData #DeepLearning

  • Best Python libraries for Machine Learning and Data Science : (Part -1)Python is becoming popular day by day and has started to replace many popular languages in the industry.
  • Python for Machine Learning :The simplicity of python has attracted many developers to build libraries for Machine learning and Data Science, because of all these libraries, Python is almost popular as R for Data Science.
  • Almost all Google’s Applications use Tensorflow for Machine Learning.
  • Tensors are N-dimensional matrices which represents our Data.The major advantage of tensorflow is Parallelism, means your computational graphs are executed in parallel, you have the full control over execution and you can schedule different operations on different processors like CPU, GPU etc.Tensorflow is basically written in C and C++, but…
  • Your Python code gets compiled and then runs on Tensorflow distributed execution engine developed using C and C++.

Python is becoming popular day by day and has started to replace many popular languages in the industry. The main reason for Python’s popularity is because of the following reasons: The simplicity of…

Best Python libraries for Machine Learning and Data Science : (Part -1)

Python is becoming popular day by day and has started to replace many popular languages in the industry. The main reason for Python’s popularity is because of the following reasons:

The simplicity of python has attracted many developers to build libraries for Machine learning and Data Science, because of all these libraries, Python is almost popular as R for Data Science. Well , Some of the best Machine Learning libraries for Python are :

1. Tensorflow :

If you are working or interested about Machine Learning, then you might have heard about this famous Open Source library known as Tensorflow. It was developed at Google by Brain Team. Almost all Google’s Applications use Tensorflow for Machine Learning. If you are using Google photos or Google voice search then indirectly you are using the models built using Tensorflow.

Tensorflow is just a computational framework for expressing algorithms involving large number of Tensor operations, since Neural networks can be expressed as computational graphs they can be implemented using Tensorflow as a series of operations on Tensors. Tensors are N-dimensional matrices which represents our Data.

The major advantage of tensorflow is Parallelism, means your computational graphs are executed in parallel, you have the full control over execution and you can schedule different operations on different processors like CPU, GPU etc.

Tensorflow is basically written in C and C++, but has a sophisticated…

Best Python libraries for Machine Learning and Data Science : (Part -1)

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