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 How LinkedIn Makes Personalized Recommendations via Photon-ML Machine Learning tool
In this article we focus on the personalization aspect of model building and explain the modeling principle as well as how to implement Photon-ML so that it can scale to hundreds of millions of users.
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An Overview of 3 Popular Courses on Deep Learning
After completing the 3 most popular MOOCS in deep learning from Fast.ai, deeplearning.ai/Coursera (which is not completely released) and Udacity, I believe a post about what you can expect from these 3 courses will be useful for future Deep learning enthusiasts.
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Learn Generalized Linear Models (GLM) using R
In this article, we aim to discuss various GLMs that are widely used in the industry. We focus on: a) log-linear regression b) interpreting log-transformations and c) binary logistic regression.
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The 5 Common Mistakes That Lead to Bad Data Visualization
Here are 5 common mistakes that lead to bad data visualization. Avoid these to get the most out of your data visualizations.
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Credible Sources of Accurate Information About AI
I want to recommend several credible sources of accurate information. Most of the writing on this list is intended to be accessible to anyone—even if you aren’t a programmer or don’t work in tech.
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A Guide For Time Series Prediction Using Recurrent Neural Networks (LSTMs)
Looking at the strengths of a neural network, especially a recurrent neural network, I came up with the idea of predicting the exchange rate between the USD and the INR.
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Applied Data Science: Solving a Predictive Maintenance Business Problem
The use case involved is to predict the end life of large industrial batteries, which falls under the genre of use cases called preventive maintenance use cases.
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Meet Lucy: Creating a Chatbot Prototype
This article walks you through a step by step process and comes with starter code for building your own chatbot. In the end we also provide some pointers for folks looking to take this proof of concept to production stage.
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Visualizing High Dimensional Data In Augmented Reality
When Data Scientists first get a data set, they oftne use a matrix of 2D scatter plots to quickly see the contents and relationships between pairs of attributes. But for data with lots of attributes, such analysis does not scale.
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Ensemble Learning to Improve Machine Learning Results
Ensemble methods are meta-algorithms that combine several machine learning techniques into one predictive model in order to decrease variance (bagging), bias (boosting), or improve predictions (stacking).
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How LinkedIn Makes Personalized Recommendations via Photon-ML Machine Learning tool