So what does it take to build a successful data science team? Whether you are the first "data person" at your organization or leading a team of hundreds, we know success is not based on just technology; it requires people to create a productive, effective, and collaborative data science team. Last month's webinar featured data science leaders from Caliber Home Loans, The Looma Project, Saturn Cloud, T-Mobile, and Warner Music Group to start to answer this question. You can view the recording of the webinar at Building Effective Data Science Teams. There were so many great follow-up questions that we'd like to keep this conversation going. We've also added links to an RStudio Community thread for each individual question if you'd like to continue the conversation there as well. We have paraphrased and distilled portions of the responses for brevity and narrative quality. What is a symptom that you have observed, during your time in this field, of a team being low on credibility within an organization or with stakeholders?

I am a binge-watcher of movies and series. I love comedy, thrillers, romantic everything. Anyway, here are some sci-fi movie lists related to technology and AI I could think of the name. I have tried to write as much short I could write about them so that I don't give any spoilers. So for a better description, you might try watching Google.

There are worse movies than Uncharted, especially when it comes to the seemingly cursed genre of video game adaptations. But as I struggled to stay awake through the finale -- yet another weightless action sequence where our heroes quip, defy physics and never feel like they're in any genuine danger -- I couldn't help but wonder why the film was so aggressively average. The PlayStation franchise started out as a Tomb Raider clone starring a dude who wasn't Indiana Jones. But, starting with Uncharted 2: Among Thieves, the games tapped into the language of action movies to put you in the center of innovative set pieces. They were cinematic in ways that few titles were in the early 2010s.

25 years later, the inverted fortunes of IBM’s Deep Blue and neural nets … It stunned the world of computer science: self-learning machines were …

A Brief Overview of AI’s Role in Healthcare. Researchers and clinicians have applied AI and machine learning (ML) algorithms to everything from …

Artificial intelligence (AI) and machine learning can play a big part in tapping in to it.

This machine learning algorithm is the easiest one to understand. Also used in statistics, linear regression combines two variables.

There is much discussion about artificial intelligence and the benefits of its application from dating, marketing and social media to space …

… oldest learned society recognises UNSW professors for their work in the fields of artificial intelligence and ceramic science engineering.

Artificial intelligence can help reduce adverse and devastating effects on the environment, according to new research published in Science.