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.
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”.
(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
In 2013, Airbnb had a small, centralized team of five data scientists serving the data needs of the company. Since then, they have grown to become one of the largest, most innovative startup teams with over 70 data scientists now serving separate business units. In addition to setting a consistently high bar on new hires and focusing on technical mentorship from peers, the structure of the organization has been key to successful growth. Read More
VIDEO PODCAST | In Episode 5 of this podcast series by Renee Teate of “Becoming a Data Scientist”, she interviews Clare Corthell, founding partner of summer.ai and creator of the Open Source Data Science Masters curriculum, about becoming a data scientist. Read More
The challenge of data modeling is to understand how to work with complex data in order to standardize, structure and optimize data to gets accurate insights quickly. Watch this video by Product Manager, Evan Castle of Sisence, to learn everything you need to know about data modeling. Watch Video
Video |Seattle Spark Meetup | Hossein Falaki – Software Engineer and Data Scientist from Databricks introduces us to SparkR and how it integrates the two worlds of Spark and R.
He demonstrates one of the most important use cases of SparkR: exploratory analysis of very large data. Watch Video
At the core of Data Science is DATA MODELING. In this post we offer some beginner videos and a podcast (from O’Reilly ) on Predictive Modeling and Topic Modeling. Enjoy! READ MORE
Watch 2 Lectures on building Recommender Systems using Machine Learning given by the Director of Research/Engineering at Netflix at Carnegie Mellon University this Summer.
Its 2 parts at 2 hours each, touches on what is practical and important, and worthwhile if you have an interest in personalization and recommender algorithms. Watch Lectures
Get FREE eBook “Data Driven: Creating a Data Culture” by Industry thought leaders DJ Patil, Resident Data Scientist at the White House, and Hilary Mason, Founder of Fast Forward Labs.
Also WATCH video interview as they discuss how to building a data strategy and creating a data culture with Cloudera’s Director of Data Science, Josh Wills. Read More