About Shashank Mohan Jain
My passion for artificial intelligence and machine learning stems from their immense potential to find new ways as to how we solve complex problems. With 45 software patents and extensive speaking engagements, I've dedicated my career to pushing the boundaries of what's possible in AI, generative AI, and cloud computing. Each innovation represents a step towards more intelligent, efficient systems that can transform industries and improve lives. What drives me is the thrill of discovery - those moments when a new algorithm clicks into place or a model yields unexpected insights. By sharing these breakthroughs at conferences, I aim to inspire fellow researchers and practitioners, fostering a community of innovation where each contribution builds upon the last. Since I am an active blogger in the area of ML, AI and Cloud computing, I hope the readers find my work useful. Already with my 8 authored books , I am trying to share my knowledge and insights with the community
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Introduction: In the area of time series analysis and deep learning, determining the optimal architecture for neural networks often involves a degree of guesswork. One crucial parameter in autoencoder architectures is the size of the latent dimension - the compressed representation of our data. But how can we systematically determine the best latent dimension size? In this blog post, we'll explore...
Optimizing LSTM Autoencoder Latent Dimension using Mutual Information and BO
Jul 10, 2024
271 views
Have you ever wondered how your sensitive information stays safe when you're shopping online or checking your bank balance? The answer lies in a clever mathematical trick called RSA cryptography. Today, we're going to unravel this mystery, starting from some basic math and building up to encrypting our own messages! The Building Blocks: Euler's Totient Function and Theorem Before we dive into RSA,...
RSA Cryptography Explained: From Euler to Encryption
Jul 06, 2024
317 views
