15 Data Issues and How to Fix Them
How to fix various data issues in a few simple steps? In this first part, I discuss missing, outdated and unobserved data, data that is… Read More »15 Data Issues and How to Fix Them
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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).
The Riemann Hypothesis in One Picture
I wrote this article for machine learning and analytic professionals in general. Actually, I describe a new visual, simple, intuitive method for supervised classification. It… Read More »The Riemann Hypothesis in One Picture
Reinventing or Reusing? Home-made vs Third-party Solutions
Say you need to implement some machine learning system. Should you purchase a product, re-use open-source code, or develop your own algorithms? The decision does… Read More »Reinventing or Reusing? Home-made vs Third-party Solutions
Lessons Learned from Writing My First Python Script
After 25 Years of Coding in C And Perl. As an independent author/researcher, there is of course nothing in my “job description” that says I… Read More »Lessons Learned from Writing My First Python Script
Common Sense Machine Learning
There are different ways to define common sense machine learning. It could mean using simple models whenever possible, avoiding overfitting, correctly selecting features, or doing… Read More »Common Sense Machine Learning
Are PDF Documents a Thing of the Past?
There has been many articles predicting the death of the PDF format, invented in 1993. Some of these articles are 10 years old: you can… Read More »Are PDF Documents a Thing of the Past?
18 Differences Between Good and Great Data Scientists
If you are employed as a data scientist and have survived (or strived!) in your position for more than a year, chances are you are… Read More »18 Differences Between Good and Great Data Scientists
6 Business Applications that Badly Need Better AI
The success and growth of AI is undeniable. Yet there are still basic tasks performing poorly, despite or because of automation. In some cases, you… Read More »6 Business Applications that Badly Need Better AI
The Myth of Analytic Talent Shortage
I tested the job market in the last two weeks, both as an applicant, and as a hiring manager. I share my experience here. It… Read More »The Myth of Analytic Talent Shortage
Selling Your Digital Content on Amazon, Without Kindle
Many of us dream of starting a side business selling our knowledge, in one way or another. Though the market is highly competitive, selling eBooks… Read More »Selling Your Digital Content on Amazon, Without Kindle