Artificial Intelligence (AI) Insights
Blockchain: A Revolutionary Technology That Won’t Change Hotel Distribution
The fierce debate about blockchain rages on. The evangelists insist that it will be as...
Unifying the Backend – Why We Need to Unite Data Science and DevOps
Your company has invested in data science; you’ve created data teams, invested in expensive data...
Understanding New AI With Old Math, and Why We Should Care
We’ve seen The Matrix, i,Robot, 2001: A Space Odyssey, The Terminator, etc, imagining AI will...
Top 3 Most Popular Neural Networks
ANN, CNN, FFN, RNN… That’s a lot of N’s! Even for someone ensconced in the...
The Biggest Challenge in Data Science
By this point, data science seems ubiquitous and wildly successful. Recommendation engines govern the content...
5 Data Science Trends that Need to End
If you’ve taken an introductory course in data science, or simply read a lot of...
Does My Model Smell Funny? Top Takeaways from Technical Debt in Machine Learning Systems
Sniffing Out Technical Debt in Machine Learning Solutions With the democratization and open-sourcing of machine...
Demystifying Neural Networks: the Theory
In my previous post on the Deep Learning Summit in Boston, I discussed Maithra Raghu’s...
Highlights from the Deep Learning Summit: Neural Networks Demystified and Domain Adaptation
I recently had the pleasure of attending REWORK’s Deep Learning Summit in Boston. Two topics...
Deep Learning: Its Power, Promise and the Future of Analytics
Artificial intelligence (AI) won’t be taking over our world, but it will be augmenting human...
Which One to Choose? Comparing Machine Learning Techniques
Machine learning’s utility in the commercial landscape has been firmly established, and its popularity is...
Teaching Machines: What is Machine Learning?
Data Science and machine learning have generated a lot of discussion surrounding them in the...