Martin Heller, Contributing Editor, InfoWorld (2017) reviews half a dozen open source machine learning and/or deep learning frameworks: Caffe, Microsoft Cognitive Toolkit (aka CNTK 2), MXNet, Scikit-learn, Spark MLlib, and TensorFlow.
MLTrain is coming back to New York City for another training event. Nick Vasiloglou and Alex Dimakis will cover several Machine Learning and TensorFlow topics. We have prepared a 2 day curriculum. You can register for each day individually or for both days. The space is offered by Ebay! When: 6/2-6/3 2017, 9:00am to 2:00pm
This book has been written in layman’s terms as a gentle introduction to data science and its algorithms. Each algorithm has its own dedicated chapter that explains how it works, and shows an example of a real-world application. To help you grasp key concepts, they stick to intuitive explanations and visuals.
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)
Last weekend I took the Lynda course “Understanding Data Science ” with Doug Rose. The class is designed for those that do not intend to be Data Scientists but want to become familiar with the process and terminology. The class has a running time of 1 hour and 16 minutes and covers includes the following […]
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.
Watch Video to learn about how Zillow’s Data Science team builds it Recommender Systems and read how DevOps does “Continuous Delivery and Deployment for Zestimates”.
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