Master Generative AI with 10+ Real-world Projects in 2025!
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
In this article, Coursera's engineering team explains how they categorize their content (courses) using data visualization and clustering.
Who better to learn data science tips and tricks from than a Kaggle grandmaster? Join SRK as he provides invaluable advice for all data scientists!
Explore Game AI: Dive into AlphaGo, tree search algorithms, and Monte Carlo Tree Search (MCTS) for a deeper understanding of AI in gaming.
Check out the top highlights from rstudio::conf 2019 - what's new in the world of R? This article lists down all that, plus links, resources, and much more!
This article is inspired by Deeplearning.ai course where we learn to solve sequence modeling problems and building attention models.
Data science books every data scientist should read. Here is the list of 27 best data science books for aspiring data scientists.
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