Domino Data Labs recently made the Gartner 2017 Magic Quadrant for Data Science Platforms. Here, Domino’s Chief Data Scientist, Eduardo Arino de la Rubia, does a great job making the very complex easily understandable. Learn more about the platform…
In this video, Riku Inoue and Bryan Lares share how a car auction service and a global insurance company were able to adopt TensorFlow and Cloud Machine Learning to solve real-world business problems and improve customer service and product excellence.
Video of keynote from Strata + Hadoop World in San Jose 2017. Machine learning at Google with Rob Craft (Google)
Watch video on how Deep Learning is being used in Financial Services and Medical Fields.
In this Harvard Business Review webinar, data visualization expert Scott Berinato discusses where companies are today in using visuals and how to approach data visualization differently.
Big data remains a rapidly evolving field with new applications and infrastructure appearing every year. In this talk, Matei Zaharia will cover new trends in 2016 / 2017 and how Apache Spark is moving to meet them. More
VIDEO: Apache Flink: A Quick Guide to the Next Generation Stream Processing Platform Dr. Vladimir Bacvanski’s, founder of SciSpike, a company doing custom development, consulting and training. His recent projects include Big Data and Internet of Things applications in healthcare, reactive Big Data and Web Scale systems and introducing Scala, Akka and Spark in a […]
“TRANSFER LEARNING” From The Harvard Business Review – using the recent Presidential Election & lack of data to illustrate Transfer Learning: “a field that helps to solve these problems by offering a set of algorithms that identify the areas of knowledge which are “transferable” to the target domain. This broader set of data can […]
VIDEOs From the DataEngConf NYC in November. “Demystifying Deep Learning with Visualizations” (44 min) AND “Python Data Wrangling: Preparing for the Future” (37 min).
(Reposted due to popular demand) Another great video from Josh Wills. Josh is Sr. Director of Data Science at Cloudera and has a gift for making fairly complicated technology explanations very digestible to the novice and intermediary techie.
What I most love about this video is how Josh explains -very clearly – the issue of translating analytics Machine Learning on a large set of data records (many individuals) and making it work well in a “real life” production environment on a single individual (think eCommerce). Watch Video