Charles River Analytics: Software Engineer I – Intelligent Systems

[unable to retrieve full-text content]Seeking an enthusiastic Software Engineer to design and develop cutting-edge intelligent systems applied to areas such as intelligent tutoring, serious games, crowdsourcing, and skill modeling and assessment.
Original Post: Charles River Analytics: Software Engineer I – Intelligent Systems

Charles River Analytics: Software Engineer III – Cesium.js Developer

[unable to retrieve full-text content]Seeking an experienced Cesium.js developer to join a top-notch team of software engineers and data scientists developing web-based solutions for both DoD and commercial customers.
Original Post: Charles River Analytics: Software Engineer III – Cesium.js Developer

Charles River Analytics: Software Engineer – Human Machine Interface Design

[unable to retrieve full-text content]Seeking a Software Engineer to work closely with small teams of scientists, software engineers, and subject matter experts, using modern technologies, to design and develop cutting edge information visualizations, human automation teaming methodologies, and novel display interfaces.
Original Post: Charles River Analytics: Software Engineer – Human Machine Interface Design

Learn cutting edge techniques from world-class data scientists – RapidMiner Wisdom

[unable to retrieve full-text content]Learn cutting edge techniques from world-class data scientists, including keynote speaker Kirk Borne. Use code WIS199 for 20% off early bird pricing through July 31, 2018.
Original Post: Learn cutting edge techniques from world-class data scientists – RapidMiner Wisdom

Key Takeaways from the Strata San Jose 2018

[unable to retrieve full-text content]By dropping ‘Hadoop’ from its name, the @strataconf 2018 in San Jose signaled the emphasis on machine learning, cloud, streaming and real-time applications.  
Original Post: Key Takeaways from the Strata San Jose 2018

Beating the 4-Year Slump: Mid-Career Growth in Data Science

[unable to retrieve full-text content]This article provides a list of resources for data scientists who are transitioning from early-career/entry-level positions to more established roles. Surveys have shown a sharp decrease in satisfaction starting around 4 years into the profession, and resources are less obvious and readily available for professionals who have a good handle on the basics of data science than they are for beginners.
Original Post: Beating the 4-Year Slump: Mid-Career Growth in Data Science

Beginners Ask “How Many Hidden Layers/Neurons to Use in Artificial Neural Networks?”

[unable to retrieve full-text content]By the end of this article, you could at least get the idea of how these questions are answered and be able to test yourself based on simple examples.
Original Post: Beginners Ask “How Many Hidden Layers/Neurons to Use in Artificial Neural Networks?”