Analytics Vidhya’s pick of the top 5 data science-related GitHub repositories and Reddit discussions from April 2019 for every data scientist.
Introduction Have you ever been stuck at work while a pulsating cricket match was going on? You need to meet a deadline but you …
Learn how to build a NLP multi-label classification model for predicting movie genres. This is an awesome Natural Language Processing (NLP) challenge!
Learn what is deep Q-learning, how it relates to deep reinforcement learning, and then build your very first deep Q-learning model using Python!
Learn how to build your first multi-label image classification model in Python by working on a real-world problem in this in-depth tutorial.
Presenting a step-by-step detailed tutorial on image segmentation, it’s various techniques, and how to implement them in Python.
Temporal difference learning is one of the core reinforcement learning concepts. Learn how it works, how it relates to Q-learning, & code it in Python!
Introduction Computer vision is among the hottest fields in any industry right now. It is thriving thanks to the rapid advances in technology and …
Want to learn deep learning for NLP but not sure where to start? This article provides the answer in the form of 8 awesome pretrained models!
This article delves into 5 popular deep learning frameworks, their applications and how they compare against each other. A must-read for everyone!