vishwanath Spotify Recommender API Call
One of the key things here is to generate seeds for the recommendations, this can be done by using endpoints like Get a User’s Top Artists and Tracks to obtain…
First Principles – Blue Nile
Blue Nile Lead Guitar used: Ibanez RG3550 Galaxy BlackPlugin for lead tone: Neural DSP Plini Plug-in SpotifyApple
2020 in Books
I usually set reading goals at the beginning of the year to counter the array of distractions that have dented my reading habit over the last few decades. goodreads is…
ONNX for ML Interoperability
Having been a Keras user since I read the seminal Deep Learning with Python , I’ve been experimenting with exporting formats to different frameworks to be more framework-agnostic. ONNX (…
Replay
Replay is a collaboration track and part of an evolving experiment with multi-tracked guitars revolving around cyclic patterns. More collaborations and sounds to follow. Arjun on Bass Sunder – Drums…
Mini-glossary of terms in audio production
I’ve used a lot of audio engineering terms over the years and realized that a lot of them were not exactly what I was referring to/meant. While talking to a…
Deep Learned Shred Solo
Music generation with Recurrent Neural Nets has been of great interest to me with projects like Magenta displaying amazing feats of ML-driven creativity. AI is increasingly being used to augment…
TFDV for Data validation
Working with my teams trying to build out a robust feature store these days, it’s becoming even more imperative to ensure feature Engineering data quality. The models that gain efficiency…
Autoencoders for Data Anomalies
With more and more emphasis on data anomaly detection and the proliferation of build/buy options, I’ve been exploring auto encoders for a few projects. In a nutshell, Autoencoders are a…
Laplace and the law of small data
One of my recent favorite reads is The Computer Science of Human Decisions by Brian Christian/Tom Griffiths. In the age of “big” data, encountering uncertainty and little data is also…