Great (free) Machine Learning course for beginners by Caltech University. Introduction to; supervised, unsupervised, and reinforcement learning. Components of the learning problem. Lectures 1 of 18 of Caltech’s Machine Learning Course – CS 156 by Professor Yaser Abu-Mostafa. Watch Video
“Scaling makes your life difficult, Scaling can take hours, days, or weeks to perform which may delay needed data processing”
From PyData Amsterdam, April 2017. Giovanni Lanzani gives a talk on the Data Science Process and where things can go wrong.
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 […]