Deep Learning with Yacine on MSN

Nesterov accelerated gradient (NAG) from scratch in Python – step-by-step tutorial

Dive deep into Nesterov Accelerated Gradient (NAG) and learn how to implement it from scratch in Python. Perfect for ...
MacStories

How I Used Claude to Build a Transcription Bot that Learns From Its Mistakes

When I started transcribing AppStories and MacStories Unwind three years ago, I had wanted to do so for years, but the tools ...
Public Broadcasting Service (PBS)

New book offers glimpse inside world of controversial tech firm Palantir and its CEO

Palantir Technologies is one of the secretive and powerful companies in Silicon Valley. It develops software that can quickly ...
IEEE

Quadratic Transform for Fractional Programming in Signal Processing and Machine Learning: A unified approach for solving optimization problems involving ratios

Abstract: Fractional programming (FP) is a branch of mathematical optimization that deals with the optimization of ratios. It is an invaluable tool for signal processing and machine learning, because ...
IEEE

Optimal Parameter Selection for ADMM: Quadratically Constrained Quadratic Program

Abstract: We propose two new algorithms for solving quadratically constrained quadratic programming (QCQP) problems arising from real-time optimization based control such as model predictive control ...