[unable to retrieve full-text content]We rethink Asimov’s 3 law of robotics to help companies moving to unsupervised machine learning and realize 100% automated predictive information governance (PIG).
Original Post: 3 Laws of Machine Learning
[unable to retrieve full-text content]A beginner’s introduction to the Top 10 Machine Learning (ML) algorithms, complete with figures and examples for easy understanding.
Original Post: Top 10 Machine Learning Algorithms for Beginners
[unable to retrieve full-text content]The flagship H2O World is back to bring together the best of data science, AI, Machine Learning, and business transformation. Spaces are limited, so get a spot at 50% off w. code KDNUGGETS by Oct 21, 2017.
Original Post: H2O World 2017: The best of data science, AI, and business transformation, Dec 4-5, Mountain View
[unable to retrieve full-text content]Random Forest, one of the most popular and powerful ensemble method used today in Machine Learning. This post is an introduction to such algorithm and provides a brief overview of its inner workings.
Original Post: Random Forests(r), Explained
[unable to retrieve full-text content]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.
Original Post: How LinkedIn Makes Personalized Recommendations via Photon-ML Machine Learning tool
[unable to retrieve full-text content]Come to the land of chocolate and Data Science where the local tech scene is booming and the jobs are a plenty. Learn the most important concepts from top instructors by doing and through projects. Use code KDNUGGETS to save.
Original Post: Data Science Bootcamp in Zurich, Switzerland, January 15 – April 6, 2018
[unable to retrieve full-text content]Instead of arguing about Python vs R I will examine the best practices of integrating both languages in one data science project.
Original Post: Best practices of orchestrating Python and R code in ML projects
[unable to retrieve full-text content]Also #MachineLearning: Understanding Decision Tree Learning; #PyTorch tutorial distilled – Moving from #TensorFlow to PyTorch.
Original Post: Top KDnuggets tweets, Oct 04-10: Using #MachineLearning to Predict, Explain Attrition; Tidyverse, an opinionated #DataScience Toolbox in R
[unable to retrieve full-text content]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.
Original Post: Learn Generalized Linear Models (GLM) using R