Video: Introduction to Machine Learning
This 30 minutes video features my interview about the upcoming course “Intuitive Machine Learning”, based on my new book with the same title. Hosted by… Read More »Video: Introduction to Machine Learning
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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).
How to Automate Data Cleaning, in a Nutshell
Data scientists spend 80% of their time on data cleaning and exploratory analysis. What if you could automate most of this? What if data scientists… Read More »How to Automate Data Cleaning, in a Nutshell
New Book: Intuitive Machine Learning
Intuitive Machine Learning with focus on explainable AI, human-friendly intelligence, powerful visualizations and applications. By Vincent Granville Ph.D, published in September 2022. PDF format, 156… Read More »New Book: Intuitive Machine Learning
15 Data Issues and How to Fix Them – Second Part
In the first part here, I discussed missing, outdated and unobserved data, data that is costly to produce, as well as dirty, unbalanced and unstructured… Read More »15 Data Issues and How to Fix Them – Second Part
How to Make Black-box Systems more Transparent
This article is intended to users relying on machine learning solutions offered by third party vendors. It applies to platforms, dashboards, traditional software, or even external pieces of code that are too time consuming to modify. One of the goals is to turn such systems into explainable AI.
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 In this first part, I discuss missing, outdated and unobserved data, data that is… Read More »15 Data Issues and How to Fix Them
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