Summary Deep learning Paper Learning Representations by back-propagating errors By David E. Rumelhart, Geoffrey E. Hinton & Ronald J Williams Original Paper There have been many attempts to neural network models. But non of them are capable of learning representaions with using
Summary Data science Book Summary Ch 1: The Machine Learning Landscape Summary: Hands-On Machine Learning with Scikit-Learn & TensorFlow I am thinking of creating series of blog posts throughout my journey following this wonderful book. I will try to include everything that I find
Summary Data science Anomaly Engineering Extreme Event Forecasting at Uber with Recurrent Neural Networks By Nikolay Laptev, Slawek Smyl, & Santhosh Shanmugam Link to full post The goal of the experiment is predicted where, when, and how many rides requests Uber will receive at any given time.
Summary Data science Time Series Anomaly Detection Algorithms Time Series Anomaly Detection Algorithms, Blog Summary This is a summary of a blog post, published on medium.com. Original Blog Post: Pavel Tiunov - Jun 8, 2017 Important Types of Anomalies Anomaly
Summary Data science Time Series Anomaly Detection Detection of Anomalous Drops with Limited Features and Sparse Examples in NoisyHighly Periodic Data Dominique T. Shipmon, Jason M. Gurevitch, Paolo M. Piselli, Steve Edwards Link to paper Summary About the data: 14
Summary Data science Anomaly Detection of Time Series Data using Machine Learning & Deep Learning This is a summary of a blog post, published on medium.com. Original Blog Post: XenonStack - Jul 3, 2017 What is Time Series Data Time series data is informations taken at a particular
Summary Data science Anomaly Detection LINK Rare events, finding unusual data points Encompasses many important tasks in ML Identifying transactions that are potentially fraudulent Learning patterns that indicate a network intrusion has occurred Finding abnormal clusters of patients
