Tech Blog | Synced

by Synced 2021-04-02 3

Synced Tradition and Machine Learning Series | Part 3: Optimization Basics – Probabilities and Inference

Probability theory is a mathematical framework for quantifying our uncertainty about the world, and is a fundamental building block in the study of machine learning. The purpose of this article is to provide the vocabulary and mathematics needed before applying probability theory to machine learning tasks.

by Synced 2021-01-23 1

AI Tech Blog

Synced Tradition and Machine Learning Series | Part 2: Optimization Basics

This is the second in a special Synced series of introductory articles on traditionally theoretical fields of studies and their impact on modern-day machine learning.

by Synced 2020-05-23 0

AI Machine Learning & Data Science Research Tech Blog

ICLR 2020 | A Look at Three Interesting Papers on the Robustness of Neural Networks

A look at three ICLR papers to look at that fall under the topic of robustness

by Synced 2020-02-03 1

AI Others Research Tech Blog

A Look at ‘Escaping From Saddle Points on Riemannian Manifolds’

A new paper from the University of Washington Seattle and the University of California, Berkeley looks at saddle points on Riemannian Manifolds. In this article Synced takes a deep dive into this important research.