21 Statistical Concepts Explained in Simple English – Part 4
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlati...
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DSC Podcast Series: AI & Deep Learning at SAS Part 2
In this latest Data Science Central podcast, we will continue to explore the hot topic of AI and Deep Learning at SAS. We will discuss how the SAS platform enables the de...
DSC Podcast Series: AI & Deep Learning at SAS Part 1
In this latest Data Science Central podcast, we will introduce you to the hot topic of AI and Deep Learning at SAS. We will cover what is AI, what capabilities SAS offers...
DSC Podcast Series: Machine Learning: 10 Exciting Developments
In this latest Data Science Central podcast, you will hear about how SAS is accelerating the machine learning lifecycle from data preparation, to model building, and to d...
The Startup Founder’s Guide to Analytics
This article was written by Tristan Handy. This post is about how to create the analytics competency at your organization. It’s not about what metrics to track (there a...
The Two (Conflicting) Definitions of AI
Summary: There are two definitions currently in use for AI, the popular definition and the data science definition and they conflict in fundamental ways. If you’re ...
How To Become A Successful R Programmer?
R is a software programming language developed in 1993. In New Zealand, two professors of Auckland University Ross Ihaka and Robert Gentleman first conceived R. The mos...
Applying Machine Learning Techniques in Quantitative Finance
Two weeks ago, I was invited to present about Machine Learning and its applications in Quantitative Finance at a conference in London, UK. Without a break, I went through...
New Book: Machine Learning with R
Independently published (November 20, 2018). 78 pages. This book intends to provide an overview of Machine Learning and its algorithms & models with help of R softwar...
The Hundred-Page Machine Learning Book
New book, in progress. By Andriy Burkov, Machine Learning Team Leader at Gartner. The following chapters are currently available: Foreword Chapter 1: Introduction Part I...