Author: learningpath
Machinery Fault Detection with Vibration Data Anomaly Detection using Variational Auto Encoder
Machinery Fault Detection with Vibration Data Anomaly Detection using Variational Auto Encoder Auto Encoder is a unsupervised Deep Learning model. Data is encoded to a lower dimensional latent space using an encoder network. The decoder decodes the latent space data trying to reconstruct the original data. With Variational Auto Encoder (VAE), the encoder encodes probability…
Stock Portfolio Balancing with Monte Carlo Simulation
Stock Portfolio Balancing with Monte Carlo Simulation Portfolio balancing is a complex optimization problem. The problem can be stated as assignment of weights to different stocks in the portfolio so that a metric called Sharpe Ratio is maximized. In this post we will see how Monte Carlo simulation provides a simple solution. The approach is brute force, because with…
The Multi-Faceted Journey of Determining ML Model Success Criteria
The Multi-Faceted Journey of Determining ML Model Success Criteria In the world of Machine Learning (ML), defining the success criteria for your models is a crucial but often complex task. Many people tend to fixate on the idea of achieving a high percentage of accuracy, like 80% or 90%, as a one-size-fits-all benchmark. However, the…
Time Series Data Exploration with Wavelet Transform
Time Series Data Exploration with Wavelet Transform Time series data provides time domain information and Fast Fourier Transform provides frequency domain information only. What if you wanted both, for example you may be interested in frequency domain information only within a specified time range. Wavelet transform provides time and frequency domain information simultaneously. In this post we…
OpenAI has Launched GPT-4 Turbo
OpenAI has Launched GPT-4 Turbo with 128k Context, Customizable ChatGPT Agents, and Enhanced APIs In a groundbreaking move, OpenAI has unveiled a suite of transformative AI advancements that are set to reshape the landscape of artificial intelligence. The company’s recent DevDay event showcased a series of innovations, including the release of 128k Context GPT-4, customizable ChatGPT agents,…
Significance and Applications of Edge AI
Significance and Applications of Edge AI “Edge AI : Designing Today & Future” In the era of rapidly growing & changing AI technology day by day, we need a solution to cater the immensely large data produced by small devices, mobile computing and the Internet of Things (IoT) when used in network. Management of this…