See and ask questions at the one hour webinar on April 18, 2019
Learn how to get your data right through successful machine learning. Presented by Michelangelo D’Agostino, Head of Data Science at ShopRunner, and Kenneth Dallmeyer, Data Engineer at ShopRunner.
In this latest FREE Data Science Central webinar, they will show the relationship between neural networks and simpler ML models, and provide an understanding of what gives neural networks their expressive power.
Watch a free webinar by Mark Meloon, an experienced Data Scientist who has first hand experience with the difficulties landing that first gig as a Data Scientist.
He has helped a lot of others navigate and position themselves to get in the door and start their lucrative careers. It worth listening to what he has to say. His advice is proven to work. He’s given talks a major bootcamps (e.g. Metis, Galvanize) and have made a name for himself advising “aspiring” data scientist.
In this free training will show you his proven step-by-step system for landing the job of your dreams, even if you don’t have prior experience or a Ph.D.!
Happy Monday to All. Here are a set of compelling articles, videos, webinars on Data Science & Big Data Analytics. Also see the Top 5 jobs in Data Science that we are working vigorously to fill at our clients. Read More
Here are few sets of interesting articles, videos, and our top jobs in Data Science & Analytics that stood out this week. Read More
Watch Webinar on Thursday Sept 4th at 12:30pm EST – 45 mins. “How is the Internet of Things Driving the Adoption of Apache Spark™?”
WHY? Hear from Big Data experts on what is available in the industry today, what’s anticipated, and why they think SPARK is the next big thing for Big Data. What is SPARK? Why is it relevant? How does SPARK play into a more intelligent use of data? Read More
Webinar (On-demand) |Join Azita Martin, Chief Marketing Officer at Datameer and Matt Schumpert, Sr. Director of Solutions Engineering, as they discuss and showcase how leading edge companies are leveraging big data to:
▪Combine customer interaction data to understand customer buying journey
▪Understand high-value customer behavior beyond profile segmentation
▪Identify the most common path to customer churn
▪Perform market basket analysis to help with cross-sell and up-sell Watch Video
Learn how Pivotal’s Data Science Team has developed several methods to analyze traffic information from real-time data sources. Using a variety of methods on a massively parallel analytics database system, the team will also demonstrate a traffic disruption model that can predict the duration of recent incidents – learning the disruption patterns of a major city. Watch Webinar Replay
Watch On-Demand 60 minute Webinar with the CTOs of Cloudera and Splunk about how their companies are working together to make it easier for every knowledge worker to rapidly explore, analyze and visualize raw unstructured data in a Hadoop enterprise data hub without specialized training. Read More