Master Generative AI with 10+ Real-world Projects in 2025!
Image augmentation is a powerful technique to work with image data for deep learning. Learn pytorch image augmentation for deep learning.
Learn about Attention Mechanism, its introduction in deep learning, implementation in Python using Keras, and its applications in computer vision.
Improve your deep learning model performance by understanding 4 key challenges and the tricks to overcome them.
Be there at DataHack Summit 2019 to learn all about the powerful techniques for Reinforcement Learning (RL) by experts and renowned speakers.
Regime shift models are a powerful use case of time series modeling in financial markets. Learn how regime shift models work and build one in Python.
Transfer learning has changed the ML landscape. Explore pytorch transfer learning and how you can perform transfer learning using PyTorch.
What happens after your machine learning model is deployed? Here's a framework to help you plan post-deployment machine learning model monitoring.
BERT is the state-of-the-art framework for Natural Language Processing. Read this blog post to understand how this keyphrase has changed the landscape
Take your computer vision skills to the next level with video classification models. Discover how to analyze and classify video data using deep learning.
Data Science projects on Github in python and R. In this article we cover machine learning, deep learning and programming projects.
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