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Crowd counting has been an inexact science for decades. Learn about crowd counting algorithms in deep learning and build crowd counting models using python.
PyOD is an awesome outlier detection library. In this article learn what is outlier and how to use PyOD library for outlier detection in Python.
Introduction to a simple yet amazing NLP library called Flair. See how it works and get the code to implement it in Python yourself!
We welcome Professor B. Ravidran to talk about his passion for reinforcement learning, the current state of the field, and how it all actually works!
The top 5 data science GitHub repositories and Reddit discussions from January 2019. It includes links to awesome NLP and computer vision libraries.
This is an article about how a mid-career IT professional successfully learned data science to make a career switch into this wonderful domain.
StanfordNLP is a collection of pre-trained state-of-the-art models. This tutorial is an introduction to Stanford NLP in Python and its implementation.
Machine translation is one of the biggest applications of NLP. Learn about neural machine translation and its implementation in Python using keras.
Recurrent Neural Networks Python are one of the fundamental concepts of deep learning. Learn RNN from scratch and how to build and code.
Analytics Vidhya DataHack platform will now have more hackathons problems from past open as practice problem. You can now continue to learn on them
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