Best Machine Learning book: https://amzn.to/2MilWH0 (Fundamentals Of Machine Learning for Predictive Data Analytics).

Machine Learning and Predictive Analytics. #MachineLearning

Intro to Predictive Analytics is the second video in this machine learning course. This video explains how machine learning algorithms are used in the field of data analytics to create models of reality.

This online course covers big data analytics stages using machine learning and predictive analytics. Big data and predictive analytics is one of the most popular applications of machine learning and is foundational to getting deeper insights from data. Starting off, this course will cover machine learning algorithms, supervised learning, data planning, data cleaning, data visualization, models, and more. This self paced series is perfect if you are pursuing an online computer science degree, online data science degree, online artificial intelligence degree, or if you just want to get more machine learning experience. Enjoy! Check out the entire series here: https://www.youtube.com/playlist?list=PL_c9BZzLwBRIPaKlO5huuWQdcM3iYqF2w&playnext=1

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Because of the Youtube Live Streaming platform outage on Wednesday, this speaker was interrupted during the streaming session. The missing portion appears in this video.

https://www.youtube.com/watch?v=Zuwf6WXgffQ
(approx. 32 min. of additional content)

The ACM Recommender System conference (RecSys) is the premier international forum for the presentation of new research results, systems and techniques in the broad field of recommender systems. Recommendation is a particular form of information filtering, that exploits past behaviors and user similarities to generate a list of information items that is personally tailored to an end-user’s preferences. As RecSys brings together the main international research groups working on recommender systems, along with many of the world’s leading e-commerce companies, it has become the most important annual conference for the presentation and discussion of recommender system research.

RecSys 2014, the eighth conference in this series, was held in Silicon Valley. It brought together researchers and practitioners from academia and industry to present their latest results and identify new trends and challenges in providing recommendation components in a range of innovative application contexts. In addition to the main technical track, RecSys 2014 program featured keynote and invited talks, tutorials covering state-of-the-art in this domain, a workshop program, an industrial track and a doctoral symposium.

Published papers went through a rigorous full peer review process. The conference proceedings, which are available both on a USB drive and via the ACM Digital Library, are expected to be widely read and cited. ACM RecSys 2014 took place at the Crowne Plaza hotel in Foster City, Silicon Valley, California from Oct 6-10, 2014.

To accommodate the numerous researchers who could not register for this year’s technical conference and to possibly mitigate local traffic, the Tuesday, Wednesday and Thursday program was streamed real-time on the official ACM RecSys YouTube Channel.

Video services by: Rosa Media Productions http://rosamediaproductions.com/

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