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.
Edu-Video | Customer Successes with Machine Learning (Google Cloud Next ’17)
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.
Edu-Video | “Machine learning at Google” by Rob Craft (Google)
Video of keynote from Strata + Hadoop World in San Jose 2017. Machine learning at Google with Rob Craft (Google)
Online Course | “Understanding Data Science” with Doug Rose (via Lynda)
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 […]
Edu-Video | DeepLearning.TV | Eps. 12 | “Deep Learning SIMPLIFIED”
Watch video on how Deep Learning is being used in Financial Services and Medical Fields.
Edu-VIDEO | Free Webinar on “Creating Persuasive Data Visualizations” – HBR
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.
Edu-Video | Introduction to Recommendation Systems and More @ Zillow
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”.
Edu-Videos | Apache Spark Summit East | “EXPECTED TRENDS 2017”
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
Edu-Video | Apache Flink: A Quick Guide to the Next Generation Stream Processing Platform
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 […]
Edu-Video | “Transfer Learning” — Reusing Your Machine Learning Results
“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 […]