Could Machine Learning Practitioners Prove Deep Math Conjectures?
Many of us have solid foundations in math or have an interest in learning more, and are passionate about solving…
Many of us have solid foundations in math or have an interest in learning more, and are passionate about solving…
In this article, I describe the various steps involved in managing a machine learning process from beginning to end. Depending…
This article focuses on the machine learning aspects of the problem, and the use of pattern recognition techniques leading to…
It is often said that data science jobs are for seasoned professionals, and many job ads still show a preference…
Of course, this question begs for the answer that it is both an art and a science. I view it…
In this series, we discuss a technique to find either the minima or the roots of a chaotic, unsmooth, or…
Big Data and Machine Learning are two exciting applications of technology that are often mentioned together in the space of…
As a pioneer in the field of cloud-based machine learning (ML), Swami Sivasubramanian is credited with starting a revolution in…
The k-nearest neighbors (KNN) algorithm is a simple, easy-to-implement supervised machine learning algorithm that can be used to solve both…
Posted by Josh Gordon and Sara Robinson, Developer Advocates We’re excited to introduce TensorFlow.js, an open-source library you can use to define, train, and…