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).
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python,… Read More »21 Statistical Concepts Explained in Simple English – Part 4
Summary: This may be the golden age of deep learning but a lot can be learned by looking at where deep neural nets aren’t working yet. … Read More »Things that Aren’t Working in Deep Learning
Steve has 40 years experience in consulting services surrounding BI, statistics, analytics, and data science. His most recent position was President of Inquidia Consulting and EVP… Read More »R, Python, SQL, etc. Steve Miller's Retrospective.
We are in the process of writing and adding new material (compact eBooks) exclusively available to our members, and written in simple English, by world… Read More »New Books and Resources for DSC Members
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python,… Read More »29 Statistical Concepts Explained in Simple English – Part 3
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,… Read More »20 Cheat Sheets: Python, ML, Data Science, R, and More
Guest blog post by Steve Miller. A year ago, I posted an article on the disturbing 57% increase in Chicago homicides for 2016. There’s been… Read More »Chicago Homicides 2017, a Follow-Up Look with R
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python,… Read More »25 Statistical Concepts Explained in Simple English – Part 2
Here are a few off-the-beaten-path problems at the intersection of computer science (algorithms), probability, statistical science, set theory, and number theory. While they can easily… Read More »Cool Problems in Probabilistic Number Theory and Set Theory
You will find here a few tables of random digits, used for simulation purposes and/or testing or integration in statistical, mathematical, and machine learning algorithms.… Read More »One Trillion Random Digits
