Schmarzo’s Favorite 10 Infographic Blogs for 2019
2019 was a year full of outstanding customer engagements and provocative teaching experiences across numerous universities. My eyes were opened to many new opportunitie...
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New Perspective on Fermat's Last Theorem
Fermat’s last conjecture has puzzled mathematicians for 300 years, and was eventually proved only recently. In this note, I propose a generalization, that could act...
New Perspective on Fermat's Last Theorem
Fermat’s last conjecture has puzzled mathematicians for 300 years, and was eventually proved only recently, see here. Some people claim to have found elementary pro...
AI Techniques for Workforce Forecasting
Summary: Workforce forecasting and scheduling applications are rapidly upgrading their use of AI. Techniques of time series forecasting ranging from the simple Holt W...
Machine Learning Mindmap
Machine learning (ML) is a hot topic nowadays. Everyone speaks about the new programming paradigm, models are implemented in very different domains, more and more startup...
12 thought leaders on LinkedIn who are creating original content to learn Artificial Intelligence and Machine Learning
I often use this quote from Isaac Newton in my teaching. AI is a vast and a complex subject. No matter how much you know – you realise that there is really a vast...
Is Analytics-driven Innovation the Ultimate Oxymoron?
Sometimes it just takes a simple, provocative statement to kick-off the innovation process – to remove an everyday given like driving a car or possessing a landline pho...
Just How Much Do You Trust Your AI?
Summary: Just how much should you trust your AI systems? Best practice points to constant review, strong governance, and the willingness to override results that seem...
Ten strategies to implement AI on the Cloud and Edge
Introduction The deployment of Machine Learning and Deep Learning algorithms on Edge devices is a complex undertaking. In this post, I list the strategies for deploying A...
DSC Webinar Series: ML vs Holt-Winters Forecasting
Machine Learning is all the rage, but when does it make sense to use it for forecasting? How do statistical forecasting methods compare? In this latest Data Science Centr...