DSC Podcast Series: ML Decisioning, Deployment and Governance at Scale
In today’s Data Science Central podcast, we will show you how SAS Viya, a cloud-enabled and API-driven analytics engine, can easily automate decisioning at a produc...
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Automating SQL Queries to Push Information to Business
Most of us working in business intelligence and data science spend a lot of time creating data models, reports and beautiful dashboards. Even though the models are great ...
No ML algorithms cheat sheet, please
What is a Cheat Sheet ? Wikipedia defines cheat sheets as a concise set of notes used for quick reference. Now the word that needs to be emphasized here is ‘quick ...
Targeting Hate Speech
Summary: Objectively identifying hateful or abusive speech on social media platforms would allow those platforms to better control it. However to be objective and wit...
Deploy Your First Serverless AWS ML Solution Fast
Introduction to SageMaker I’ve been working with AWS SageMaker for a while now and have enjoyed great success. Creating and tuning models, architecting pipelines to sup...
5 Most Popular Measures For Capturing Forecasting Error For Time Series
This article is chunk from one of my blog posts on Arima time series forecasting with Python It is a pretty extensive tutorial and until and unless you are not really in...
Will AI Force Humans to Become More Human?
Will Artificial Intelligence (AI) create an environment where design thinking skills are more valuable than data science skills? Will AI alter how we define human intelli...
DSC Webinar Series: No-code ML for Forecasting and Anomaly Detection
In this latest Data Science Central webinar, we will introduce and demonstrate how you can perform common time-series Machine Learning tasks such as Forecasting and Anoma...
DSC Webinar Series: Embracing Responsible AI from Pilot to Production
On average, 80% of AI projects fail to make it to production. But it IS possible to successfully launch AI, at scale, that is built responsibly and works for everyone. Ho...
Analytics Translators: Fact or Fiction?
It’s been two years since Mckinsey invented the term analytics translator, called it the ‘new must-have role’ and predicted we’d need around 5 million of th...