• About
  • Learning Data Science
  • Photography

Cartesian Faith

~ Insights of a modern alchemist

Cartesian Faith

Category Archives: cuny ms data analytics

What you need to know about data augmentation for machine learning

October 6, 2016

Plentiful high-quality data is the key to great machine learning models. But good data doesn’t grow on trees, and that …

Continue reading →

A primer on universal function approximation with deep learning (in Torch and R)

September 23, 2016

Arthur C. Clarke famously stated that “any sufficiently advanced technology is indistinguishable from magic.” No current technology embodies this statement …

Continue reading →

SparkR quick start that works

October 4, 2015

If you’re following along the SparkR Quick Start, you’ll notice that the instructions are not consistent with a more recent …

Continue reading →

From functional programming to MapReduce in R

September 17, 2015

The MapReduce paradigm has long been a staple of big data computational strategies. However, properly leveraging MapReduce can be a …

Continue reading →

Comparing #rstats and #pdf15 intraday hashtag streams

June 15, 2015

This post is a lecture for IS624 Predictive Analytics, which is part of the CUNY Master’s program in Data Analytics. …

Continue reading →

Intraday time series analysis of the #rstats hashtag on Twitter

June 11, 2015

This post is a lecture for IS624 Predictive Analytics, which is part of the CUNY Master’s program in Data Analytics. …

Continue reading →

Understanding a basis in linear algebra

July 29, 2014

Chapter 7 of Cherney, Denton, and Waldron begins by introducing the concept of a basis. The essence of a basis …

Continue reading →

The secrets of a linear world exposed

July 15, 2014

Like many concepts in mathematics, linearity has multiple interpretations and meanings. What do we mean when we say something is …

Continue reading →

Deducing the mechanics of matrix multiplication

July 13, 2014

For question 1.4.6 of Cherney, Denton, and Waldron, there is a question about how matrix multiplication works. Indeed, part (b) …

Continue reading →

How to quantify reality for mathematical modeling

July 10, 2014

A question came up about regarding Q1.4.9 in Cherney, Denton, Waldron. Here is a snippet of the original question: Consider …

Continue reading →

← Older posts

Enter your email address to follow this blog and receive notifications of new posts by email.

Categories

  • AI workplace (1)
  • analytics (13)
  • art (6)
  • artificial intelligence (10)
  • baruch mfe 2012 (4)
  • big data (16)
  • commentary (31)
  • content curation (1)
  • cuny ms data analytics (16)
  • data science (48)
  • erlang (23)
  • excel (1)
  • functional programming (16)
  • infrastructure (8)
  • javascript (3)
  • management (2)
  • mathematics (15)
  • microcontrollers (2)
  • photography (31)
  • python (4)
  • quantitative finance (12)
  • quantitative reasoning (2)
  • R (83)
    • lambda.r (14)
    • tawny (1)
  • reproducible science (2)
  • startups (10)
  • Uncategorized (1)

Blogroll

  • R Bloggers
  • Sarapos Blog – Model based P2P loan investing
  • Zachary David

Archives

Blog at WordPress.com.

Privacy & Cookies: This site uses cookies. By continuing to use this website, you agree to their use.
To find out more, including how to control cookies, see here: Cookie Policy
  • Follow Following
    • Cartesian Faith
    • Join 233 other followers
    • Already have a WordPress.com account? Log in now.
    • Cartesian Faith
    • Customize
    • Follow Following
    • Sign up
    • Log in
    • Report this content
    • View site in Reader
    • Manage subscriptions
    • Collapse this bar
 

Loading Comments...