Reena Shaw
Gregory Piatetsky
Toronto, ON, Canada
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Past articles by Reena:
Logistic Regression: A Concise Technical Overview
I. Introduction: A popular statistical technique to predict binomial outcomes (y = 0 or 1) is Logistic Regression. Logistic regression predicts categorical outcomes (binomial / multinomial values of y), whereas linear Regression is good for predicting continuous-valued outcomes (such as weight of a person in kg, the amount of rainfall in cm). The predictions of Logistic Regression (henceforth,… → Read More
Deep Learning in H2O using R
This article is about implementing Deep Learning using the H2O package in R. H2O is an open-source Artificial Intelligence platform that allows us to use Machine Learning techniques such as Naïve Bayes, K-means, PCA, Deep Learning, Autoencoders using Deep Learning, among others. Using H2O, we can build predictive models using programming environments such as R, Python, Scala and a web-based UI… → Read More
Quantum Machine Learning: An Overview
At a recent conference in 2017, Microsoft CEO Satya Nadella used the analogy of a corn maze to explain the difference in approach between a classical computer and a quantum computer. In trying to find a path through the maze, a classical computer would start down a path, hit an obstruction, backtrack; start again, hit another obstruction, backtrack again until it ran out of options. Although an… → Read More
Top 10 Videos on Deep Learning in Python
This ‘Top 10’ list has been created on the basis of best content, and not exactly the number of views. To help you choose an appropriate framework, we first start with a video that compares few of the popular Python DL libraries. I have included the highlights and my views on the pros and cons of each of these 10 items, so you can choose one that best suits your needs. I have saved the best for… → Read More
Blockchain Key Terms, Explained
Source: Wikipedia > "I’m reasonably confident... that the blockchain will change a great deal of financial practice and exchange,” he said Tuesday from the Consensus 2016 event in midtown Manhattan, adding that his bet on the future of finance would see “40 years from now, blockchain and all that followed from it will figure more prominently in that story than will bitcoin." - Larry Summers,… → Read More
XGBoost: A Concise Technical Overview
Introduction > "Our single XGBoost model can get to the top three! Our final model just averaged XGBoost models with different random seeds." -Dmitrii Tsybulevskii & Stanislav Semenov, winners of Avito Duplicate Ads Detection Kaggle competition. With entire blogs dedicated to how the sole application of XGBoost can propel one’s ranking on Kaggle competitions, it is time we delved deeper… → Read More
Top 10 Machine Learning Algorithms for Beginners
I. Introduction The study of ML algorithms has gained immense traction post the Harvard Business Review article terming a ‘Data Scientist’ as the ‘Sexiest job of the 21st century’. So, for those starting out in the field of ML, we decided to do a reboot of our immensely popular Gold blog The 10 Algorithms Machine Learning Engineers need to know - albeit this post is targetted towards beginners.… → Read More
Top 10 Videos on Machine Learning in Finance
This ‘Top 10’ list has been created on the basis of best content, and not exactly the number of views. I have also taken special care to walk you through the world of ML in Finance in a gentle, step-by-step manner. To get you motivated, we first begin with talks on the various applications of ML in Finance. Then, to enable access to free financial data, is a video detailing various sources for… → Read More