[unable to retrieve full-text content]Gain some perspective on the Netflix interview process, and on ways to prepare for just such an industry interview.
Original Post: Netflix Data Science Interview Questions — Acing the AI Interview
[unable to retrieve full-text content]Strata is a conference I very much enjoyed attending. This year, I observed a few common themes that ran across much of the conference content: Data Science Collaboration, Data Ethics, and Platform Optimization.
Original Post: Strata Data Conference, NYC – Key Trends and Highlights
[unable to retrieve full-text content]Deep learning, data preparation, data visualization, oh my! Check out the latest installation of ‘5 Machine Learning Projects You Can No Longer Overlook’ for insight on… well, what machine learning projects you can no longer overlook.
Original Post: 5 Machine Learning Projects You Can No Longer Overlook – Episode VI
[unable to retrieve full-text content]Budapest is calling Data Scientists and Data engineers to CRUNCH Conference, Oct 18-20. CRUNCH will feature talks from Google, Airbnb, Tesla, LinkedIn, Netflix, Uber, and more. Use code KDnuggetsAtCrunch to save.
Original Post: What data has to teach us about deep learning?
[unable to retrieve full-text content]Register now for the live stream of DataScience: Elevate, a half-day event featuring data science leaders from Google, Netflix, eHarmony, and other global companies.
Original Post: DataScience: Elevate Live Stream, July 27
Netflix Prize Analyzed: Movie Ratings and Recommender Systems Previous post Tweet Tags: Free ebook, Netflix, Recommender Systems A 195-page monograph by a top-1% Netflix Prize contestant. Learn about the famous machine learning competition. Improve your machine learning skills. Learn how to build recommender systems. By A. Paterek. Download (1.97MB) A 195-page monograph by a top-1% Netflix Prize…
Original Post: Netflix Prize Analyzed: Movie Ratings and Recommender Systems