About Reena Shaw

Reena Shaw is a lover of all things data, spicy food and Alfred Hitchcock. She recently graduated with a Master's in Computer Science from Queen's University with her Thesis in Deep Learning, and resides in Toronto. Contact her on: Linkedin | 14rsm5@queensu.ca | @ReenaShawLegacy

Reena Shaw Posts (8)

• Logistic Regression: A Concise Technical Overview - 16 Feb 2018
  
  Interested in learning the concepts behind Logistic Regression (LogR)? Looking for a concise introduction to LogR? This article is for you. Includes a Python implementation and links to an R script as well.
• Deep Learning in H2O using R - 22 Jan 2018
  
  This article is about implementing Deep Learning (DL) using the H2O package in R. We start with a background on DL, followed by some features of H2O's DL framework, followed by an implementation using R.
• Quantum Machine Learning: An Overview - 05 Jan 2018
  
  Quantum Machine Learning (Quantum ML) is the interdisciplinary area combining Quantum Physics and Machine Learning(ML). It is a symbiotic association- leveraging the power of Quantum Computing to produce quantum versions of ML algorithms, and applying classical ML algorithms to analyze quantum systems. Read this article for an introduction to Quantum ML.
• Top 10 Videos on Deep Learning in Python - 17 Nov 2017
  
  Playlists, individual tutorials (not part of a playlist) and online courses on Deep Learning (DL) in Python using the Keras, Theano, TensorFlow and PyTorch libraries. Assumes no prior knowledge. These videos cover all skill levels and time constraints!
• Blockchain Key Terms, Explained - 03 Nov 2017
  
  Need a quick glance over some important definitions associated with the Blockchain? Then consider this article your Blockchain Definitions 101!
• XGBoost: A Concise Technical Overview - 27 Oct 2017
  
  Interested in learning the concepts behind XGBoost, rather than just using it as a black box? Or, are you looking for a concise introduction to XGBoost? Then, this article is for you. Includes a Python implementation and links to other basic Python and R codes as well.
• Top 10 Machine Learning Algorithms for Beginners - 20 Oct 2017
  
  A beginner's introduction to the Top 10 Machine Learning (ML) algorithms, complete with figures and examples for easy understanding.
   
   
• Top 10 Videos on Machine Learning in Finance - 29 Sep 2017
  
  Talks, tutorials and playlists – you could not get a more gentle introduction to Machine Learning (ML) in Finance. Got a quick 4 minutes or ready to study for hours on end? These videos cover all skill levels and time constraints!