Patrick J. Hagan's Likes
January 2019
Another question recently posted on social networks. Below is my answer, with link to the original post.
The main reason is the exponential growth of data science candidates,…
Blog If data science is in demand, why is it so ha 7 LikesNovember 2018
Guest blog post by Wale Akinfaderin, PhD Candidate in Physics.
In the last few months, I have had…
Blog The Mathematics of Machine Learning 24 LikesJanuary 2017
Background – How many cats does it take to identify a Cat?
In this article, I cover the 12 types of AI problems i.e. I address the question : in which…
Blog Twelve types of Artificial Intelligence (AI) 18 LikesOctober 2016
Summary: Got a good AUC on your hold out data? Think that proves that it’s safe to put the model into production. This article shows you some of the pitfalls in this new era of…
Blog Deep Learning Epic Fail – Right Answer - Wron 18 Likes Deep Learning DemystifiedGuest blog post by Christopher Dole and other contributors, originally posted…
Blog Deep Learning Demystified 14 Likes The Emerging World of Neural Net Driven MTOriginally posted here, where you can see all the…
Blog The Emerging World of Neural Net Driven MT 3 Likes Beyond Deep Learning – 3rd Generation NeuralSummary: If Deep Learning is powered by 2nd generation neural nets. What will the 3rd generation look like? What new capabilities does that imply and when…
Blog Beyond Deep Learning – 3rd Generation Neural 21 LikesJuly 2016
originally posted by the author on Linkedin :…
Blog Feature Engineering: Data scientist's Secret 21 Likes How to choose a statistical modelThis post was originally published by my partner, Aureus Analytics, a specialist in Insurance Analytics. It is a very interesting illustration of how one would choose a statistical model. I…
Blog How to choose a statistical model 18 LikesJune 2016
April 2016
One of most excruciating pain points during Data Exploration and Preparation stage of an Analytics project are missing values.
How do you deal with missing values - ignore…
Blog How to Treat Missing Values in Your Data 15 Likes Machine Learning : Few rarely shared trade se Some of the rarely shared trade secrets in machine learning: …
Skills, skills, skills!!! Which ones should I learn? Which ones…
August 2015
A lot has been said about the value of data viz, but the folks at R2D3 have truly taken this to a whole new level by using very sophisticated but also very intuitive data viz techniques to teach…
Blog A Visual Introduction to Machine Learning 6 Likes Data Science eBook by Analyticbridge - 2nd EdThis 2nd edition has more than 200 pages of pure data science, far more than the …
Blog Data Science eBook by Analyticbridge - 2nd Ed 32 Likes Building better search tools: problems and soHave you ever done a Google search for mining data? It returns the same results as for data mining.…
Blog Building better search tools: problems and so 8 LikesJuly 2015
Update: The most recent article on this topic can be found…
Blog The best kept secret about linear and logisti 14 Likes Fast Combinatorial Feature Selection with NewIn this article, I proposes a simple metric to measure predictive power. It is used…
Blog Fast Combinatorial Feature Selection with New 22 Likes Update about our Data Science Apprenticeship… Note: for the most recent updates, click here. At the request of many prospective participants, here's an update about our DSA (Data Science Apprenticeship). Also, I have added a few large data sets,… Discussion Update about our Data Science Apprenticeship… 64 LikesResources
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