Machine Learning
Machine Learning
Description
Machine learning is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data and thus perform tasks without explicit instructions.
Posts tagged with Machine Learning
Why Shape Your Digital Footprint to Guide How AI Represents You? (That Will Nevr Work Podcast)
Why Shape Your Digital Footprint to Guide How AI Represents You? - Kalicube Knowledge Nuggets In this video, entrepreneur and CEO of Kalicube, Jason Barnard emphasizes the critical role AI...
Why Do You Need to Achieve Human and Machine Understandability?
Your brand’s perception is shaped by a complex interplay of human interactions and algorithmic interpretations. Search engines like Google and Bing and off search AI assistive engines like ChatGPT, Perplexity...
Your Survival Guide to the Ad Targeting Apocalypse
As advertising platforms like Google and Facebook refine their algorithms and push for more automated solutions, marketers are compelled to adapt their strategies. Ad targeting expert, Josh Muskin, shared valuable...
Google Knowledge Panel: Why Is My Subtitle Writer Instead of SEO?
The subtitle “Writer” replaced “SEO” in Google Knowledge Panels for SEO professionals in September 2023. Google made very few exceptions to the change from SEO to Writer as it rolled...
60 Simple Tips to Improve E.E.A.T for SEO
In this article, you will learn 60 simple tips and strategies you can implement to boost / improve / optimize your E.E.A.T (experience, expertise, authoritativeness, and trustworthiness) in Google’s algorithms....
N.E.E.A.T.T: Things You Need To Know
E.E.A.T is Googlespeak for credibility divided into 5 components: Experience, Authority and Trustworthiness. NEEATT is Kalicube’s extended version of E.E.A.T split into 7 components as described below. What is N.E.E.A.T.T?...
Evaluating E-E-A-T: Signals and Factors
What You Will Learn You will learn a robust theory that explains the “Factors” and “Signals” in Google’s evaluation of E-E-A-T for companies, authors, and content. When you understand the...
Darwinism in Search: 10 Blue Links to Generative AI
What is Darwinism in Search? Darwinism in Search is how Search Engine Algorithms determine what to display in their Search Engine Results Pages (SERPs). Darwinism in Search is based on...
How Does The Kalicube Process Work?
The Kalicube Process™ works through 3 steps that optimize your brand across your digital ecosystem. 1. Audit and clean your complete digital footprint The first step is auditing your digital...
KPIs in Brand SERP: Everything You Need To Know
What are Key Performance Indicators in Brand SERP Optimization? Key Performance Indicators (KPIs) in the context of Brand SERP optimization help quantify the success of your marketing, brand positioning and...
Reinforcement Data for Machine Learning on Google: What You Need To Know
In this article you’ll learn more about the concept of Reinforcement Data, its importance for machine learning and its applications for online presence optimization and search engine results. What is...
Corrective Data for Machine Learning on Google: What You Need To Know?
Google Engineers use Corrective Data to teach the machine how to learn. This is called Machine Learning. In Google language, the machine is the combination of Google’s Algorithms. By teaching...
Related Pages:
No pages found for this tag.