Author: When to use Machine Learning or Deep Learning? Embedded Computing Design Go to Source
Author: Charles Durfee
Computer Science student with a passion for data science and artificial intelligence.
Author: Jason Brownlee Information gain calculates the reduction in entropy or surprise from transforming a dataset in some way. It is commonly used in the […] Read More
Author: Matt Mayo Editor As an engineer, scientist, or researcher, you may want to take advantage of this new and growing technology, but where do […] Read More
Author: William Vorhies Summary: Data Scientists from Booking.com share many lessons learned in the process of constantly improving their sophisticated ML models. Not the least […] Read More
Author: Machine Learning: A Formal Learning Model ReadWrite Go to Source
Author: /u/datascience-bot Bleep Bloop. Welcome to this week’s entering & transitioning thread! This thread is for any questions about getting started, studying, or transitioning into […] Read More
Author: Vincent Granville Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for […] Read More
Author: Avoiding Garbage in Machine Learning S&P Global Go to Source
Author: Jason Brownlee Information theory is a subfield of mathematics concerned with transmitting data across a noisy channel. A cornerstone of information theory is the […] Read More
Author: Matt Mayo Editor In this upcoming webinar on Oct 23 @ 10 AM PT, learn why you should invest time in monitoring your machine […] Read More