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A Guide to Understanding Convolutional Neural Networks (CNNs) using Visualization

Neural networks can be challenging to understand. So we decided to decode them in the best way possible - by visualizing them using Python!

Learn how to Build and Deploy a Chatbot in Minutes using Rasa (IPL Case Study!)

Learn how to build a chatbot using Rasa NLU? This article is a guide on how to build and deploy Rasa charbot with the IPL case study.

Predicting Movie Genres using NLP – An Awesome Introduction to Multi-Label Classification

Multi label classification model for predicting movie genres.In this article learn about predicting movie genres multi label classification model in NLP.

Introduction to Deep Q-Learning

An Introduction To Deep Reinforcement Learning. Learn about deep Q-learning, and build a deep Q-learning model in Python using keras and gym.

A Step-by-Step Guide to Image Segmentation Techniques (Part 1)

Learn about image segmentation, its uses, types, and how it differs from image classification and object detection. Read Now!

DataHack Radio #20: Building Interpretable Machine Learning Models with Christoph Molnar

This DataHack Radio episode with Christoph Molnar looks at interpretable machine learning and it's importance.

Guide to Learn ELMo for Extracting Features from Text

ELMo is one of the best state-of-the-art frameworks to extract features from text. Learn what is ELMo and how to use ELMo for text classification in Python.

DataHack Radio #19: The Path to Artificial General Intelligence with Professor Melanie Mitchell

Hands-On Introduction to creditR: An Amazing R Package to Enhance Credit Risk Scoring and Validation

Presenting an intuitive and easy-to-use R package to enhance credit risk scoring and validation! THis article contains comprehensive R code as well.

Semantic Segmentation: Deep Learning Behind Google Pixel

In this semantic segmentation tutorial, learn image segmentation concepts and build a semantic segmentation model using Python. Start Now!