An Introduction to Clustering and different methods of clustering
This article was posted by Saurav Kaushik. Saurav is a Data Science enthusiast, currently in the final year of his graduation at MAIT, New Delhi. He loves to use machine...
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An overview of gradient descent optimization algorithms
This article was written by Sebastian Ruder. Sebastian is a PhD student in Natural Language Processing and a research scientist at AYLIEN. He blogs about Machine Learnin...
Fake VIPs and CRM management
One of the issues I keep running into when dealing with CRM and retention is that of the fake VIPs. What is a VIP? Depending on the vertical VIPs have different names: wh...
Precision vs significance / accuracy vs precision / bias vs variance
This image was created by Kirk Borne: DSC Resources Career: Training | Books | Cheat Sheet | Apprenticeship | Certification | Salary Surveys | Jobs Knowledge...
Book: Efficient R Programming
This is the online version of the O’Reilly book: Efficient R programming. To build the book: Install the latest version of R If you are using RStudio, make sure th...
Interview with Flowcast CTO: AI / Machine Learning in Fintech
Flowcast’s Co-founder and CTO, Winnie Cheng was recently interviewed by Sandhya Krishanmurthy, COO of the FinTech School, for the latter’s FinTech Core 101 course. Th...
Linear Regression in Tensorflow
Tensorflow is an open source machine learning (ML) library from Google. It has particularly became popular because of the support for Deep Learning. Apart from that it...
Logistic Regression and Maximum Entropy explained with examples and code
Logistic Regression is one of the most powerful classification methods within machine learning and can be used for a wide variety of tasks. Think of pre-policing or pr...
Outlier Detection with Parametric and Non-Parametric methods
Dealing with Outliers is like searching a needle in a haystack This is a guest repost by Jacob Joseph. An Outlier is an observation or point that is distant from other ob...
Scikit-Learn Tutorial Series
Kaggle released a series with tutorials in their blog. I recommend to anyone who is starting or want to learn more about the tool. Intro to machine learning with scikit-l...