Big Data Engineers! A ton of video talks from last months “Scala Days – Berlin 2016” went up recently. Take a look. Watch Videos
Kaggle is a community of almost 450K data scientists who have built nearly 2 million machine learning models to participate in its competitions. Data scientists come to Kaggle to learn, collaborate and develop the state of the art in machine learning. This talk will cover some of the lessons on winning techniques we have learned from the Kaggle community. Watch Video
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
(Re-post) Got a need for speed processing Big Data? In this video talk given at the Apache Flink Meetup in NYC, Slim Baltagi goes over everything you need to know right now about Flink. If you utilize big data analytics, then this is a must watch video!! Enjoy Learn More
Apache Spark’s popularity as part of big data analytics solutions is exploding. Spark is an open-source data analytics cluster computing framework originally developed in the AMPLab at UC Berkeley. Spark fits into the Hadoop open-source community, building on top of the Hadoop Distributed File System (HDFS). However, Spark promises performance up to 100 times faster than Hadoop MapReduce for certain applications…and that’s why you should care!
Spark’s in-memory cluster computing is very well suited to machine learning algorithms. These Videos will give you a nice introduction to Spark, how it’s being used in business and why you should care…Watch Spark Videos…
VIDEO | Mohammed Guller, Principal Architect at Glassbeam introductory talk for those who want to get into Big Data and learn about Spark, but don’t know where to start.
Spark is a fast easy-to-use general-purpose cluster computing framework for processing large datasets. It has become the most active open-source big data project. 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 PODCAST | In Episode 6 and 7 of this podcast series by Renee Teate of “Becoming a Data Scientist”, interviews Erin Shellman and Enda Ridge about how they became Data Scientists and what they do on the job. Read More
Next Tuesday (April 19th), Metis’s 6 Week program “Intro to Data Science” begins. It runs Tuesday and Thursday evenings from 6:30pm – 9:30pm in midtown NYC. I was at the Open House last week and will be attending.There are a couple of seats left. Love the lead instructor Sergey Fogelson. Read More
Information on the Machine Learning Conference of NYC 2016 on Friday April 15th. See Speakers, Schedule and Ticket Info. READ MORE