Deep Learning with Yacine on MSN

RMSProp optimization from scratch in Python

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks ...

Not all MMM tools are equal: Meridian, Robyn, Orbit, and Prophet explained

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.
Scientific Research Publishing

Soper, D.S. (2021) Greed Is Good: Rapid Hyperparameter Optimization and Model Selection Using Greedy K-Fold Cross Validation. Electronics, 10, Article No. 1973.

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
C&EN

Feature Selection and Hyperparameter Optimization for Machine Learned Classification of 3D Single-Particle Tracking

Department of Chemistry, University of Illinois at Urbana─Champaign, Urbana, Illinois 61801, United States Department of Chemistry, Rice University, Houston, Texas 77005, United States Department of ...
Semiconductor Engineering

What Is The Next Generation In RF Circuit Simulation And Optimization?

In this blog, we will discuss how Keysight RF Circuit Simulation Professional revamps RF circuit simulation and optimization. Discover how to achieve efficient, accurate designs for even the most ...
IEEE

hws: A Tool for Monitoring Hardware Metrics Across Diverse Vendors: A Case Study on Hyperparameter Optimization Algorithms

Abstract: Due to modern hardware’s constantly growing energy demands, it is important to consider energy efficiency and power consumption. Especially in the age of AI, where a massive amount of ...
GitHub

hyperparameter-optimization

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.