[unable to retrieve full-text content]Seeking individuals to conduct applied research on predictive algorithms to advance the company strategy of improving outcomes for patients at risk of Sudden Cardiac Arrest, collaborating with teams of Physicians, Software Engineers, Data Scientists, and Machine Learning Specialists.
Original Post: Zoll LifeVest: Advisory Researcher, Predictive Algorithms
[unable to retrieve full-text content]CRISP-DM is the leading approach for managing data mining, predictive analytic and data science projects. CRISP-DM is effective but many analytic projects neglect key elements of the approach.
Original Post: Four Problems in Using CRISP-DM and How To Fix Them
[unable to retrieve full-text content]What is automated machine learning (AutoML)? Why do we need it? What are some of the AutoML tools that are available? What does its future hold? Read this article for answers to these and other AutoML questions.
Original Post: The Current State of Automated Machine Learning
[unable to retrieve full-text content]The Most Popular Language For Machine Learning and Data Science; Analytics & Data Science Make Business Smarter; Exclusive: Interview with Jeremy Howard on Deep Learning, Kaggle, Data Science; 90 Active Blogs on Analytics, Big Data, Data Mining, and Data Science
Original Post: KDnuggets™ News 17:n02, Jan 18: Most Popular Language For Machine Learning; Analytics & Data Science Make Business Smarter
[unable to retrieve full-text content]Do you make any new year resolutions? Hit the gym more often? Lose that last 10 pounds? While personal resolutions often get a bad rap, setting professional goals at the start of the new year is not necessarily a bad idea. Check out one data scientist’s new year resolutions for 2017.
Original Post: Data Scientist New Year Resolutions for 2017
[unable to retrieve full-text content]We examine the sweet spot for data-driven Machine Learning companies, where is not too easy and not too hard to collect the needed data.
Original Post: More Data or Better Algorithms: The Sweet Spot
[unable to retrieve full-text content]Time series analysis is a complex subject but, in short, when we use our usual cross-sectional techniques such as regression on time series data, variables can appear “more significant” than they really are and we are not taking advantage of the information the serial correlation in the data provides.
Original Post: Time Series Analysis: A Primer
[unable to retrieve full-text content]The Modern Data Science Academy provides state-of-the-art workshops taught by San Diego Supercomputer Center experts. Coming workshops on Machine Learning (Feb 8-9) and NoSQL Databases (Mar 1-2).
Original Post: Discover the new Modern Data Science Academy
[unable to retrieve full-text content]Stay up-to-date in the data science with active blogs. This is a list of 90 recently active blogs on Big Data, Data Science, Data Mining, Machine Learning, and Artificial intelligence (newly checked at 01-2017).
Original Post: 90 Active Blogs on Analytics, Big Data, Data Mining, Data Science, Machine Learning (updated)
[unable to retrieve full-text content]ARIMA models are a popular and flexible class of forecasting model that utilize historical information to make predictions. In this tutorial, we walk through an example of examining time series for demand at a bike-sharing service, fitting an ARIMA model, and creating a basic forecast.
Original Post: Introduction to Forecasting with ARIMA in R