What Comes After Deep Learning
This article is by Bill Vorhies. Summary: We’re stuck. There hasn’t been a major breakthrough in algorithms in the last year. Here’s a survey of the… Read More »What Comes After Deep Learning
Home » Archives for Vincent Granville
Vincent Granville
Author and Publisher at MLtechniques.com. Machine learning scientist, mathematician, book author (Wiley), patent owner, former post-doc at Cambridge University, former VC-funded executive, with 20+ years of corporate experience including CNET, NBC, Visa, Wells Fargo, Microsoft, eBay. Vincent also founded and co-founded a few start-ups, including one with a successful exit (Data Science Central acquired by Tech Target).
Two Beautiful Mathematical Results
These results are relatively easy to prove (first year college-level calculus needed) and could be a good test to refresh your math skills. We posted… Read More »Two Beautiful Mathematical Results
A Simple Introduction to Complex Stochastic Processes – Part 2
In my first article on this topic (see here) I introduced some of the complex stochastic processes used by Wall Street data scientists, using a simple… Read More »A Simple Introduction to Complex Stochastic Processes – Part 2
A Simple Introduction to Complex Stochastic Processes – Part 2
In my first article on this topic (see here) I introduced some of the complex stochastic processes used by Wall Street data scientists, using a… Read More »A Simple Introduction to Complex Stochastic Processes – Part 2
18 Great Articles About Predictive Analytics
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation, outliers,… Read More »18 Great Articles About Predictive Analytics
Is it still possible today to become a self-taught data scientist?
If you are an engineer working for a company like Boeing, have processed and leveraged data extensively over years of professional experience, used data science… Read More »Is it still possible today to become a self-taught data scientist?
Digital Twins: Machine Learning & AI
Summary: Digital Twins is a concept based in IoT but requiring the skills of machine learning and potentially AI. It’s not completely new but it… Read More »Digital Twins: Machine Learning & AI
When AI (Artificial Intelligence) Goes Wrong…
The intelligence in AI is computational intelligence, and a better word could be Automated Intelligence. But when it comes to good judgment, AI is not… Read More »When AI (Artificial Intelligence) Goes Wrong…
Advanced Analytics Platforms – Big Changes in the Leaderboard
Summary: The Magic Quadrant for Advanced Analytic and ML Platforms is just out and there are some big changes in the leaderboard. Not only are there… Read More »Advanced Analytics Platforms – Big Changes in the Leaderboard
Sample Projects for Data Scientists in Training
Here is a list of potential projects to help you complete your master in data science or in a related field. Project #8: Detecting fake… Read More »Sample Projects for Data Scientists in Training