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This tutorial provides detailed explanation for extracting information from reports using Regular Expression library in Python.
TensorFlow is the popular library of deep learning. This article describes the basics of tensors and graphs and why tensors is important for tensorflow.
Learn about conditional probability and Bayes theorem in this comprehensive article. Improve your understanding of data science algorithms.
Get an introduction to gradient descent algorithm & its variants. How to implement gradient descent algorithm with practical tips
This article describes the procedure to read the different file formats for various applications using Python with codes - JPG, CSV, PDF, DOC, mp3, txt etc.
Deep learning applications for beginners using python. This article explains 5 deep learning applications using API and open source.
Access a comprehensive collection of the top machine learning algorithms cheat sheets on our website for quick and easy reference.Enhance your skills effortlessly!
Questions on ensemble modeling technique & machine learning to test a data scientist. These questions include bagging, boosting, stacking andvoting.
6 deep learning applications using API & open source codes. A beginner in machine learning / deep learning can build these in minutes using Python
This is a learning plan for beginners in data science for 2017. Learn machine learning, deep learning & data science using this plan to get your first job.
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