Advancing the Knowledge-Driven Enterprise
Bridging Knowledge and Technology in a Dynamic World
Enhance Your Data Science Toolkit: Add-Ons and Updates to the Most Commonly Used Tools
As data science has exploded in popularity and use, so have the tools used to solve problems in the domain. Some of these open source programs and programming suites have become extremely popular, and thus developers have designed a whole host of code that might be referred to as add-ons, extensions, and packages to improve functionality and save time for users, both experienced and new.
Enhance Your Data Science Toolkit: Add-Ons and Updates to the Most Commonly Used Tools
As data science has exploded in popularity and use, so have the tools used to solve problems in the domain. Some of these open source programs and programming suites have become extremely popular, and thus developers have designed a whole host of code that might be referred to as add-ons, extensions, and packages to improve functionality and save time for users, both experienced and new.
Jen Choi and Josh LeFevre and the power of “Yes, And”
Innovation, much like improv, isn’t easy, but it can be a powerful way to bring people into a conversation they might typically avoid or feel excluded from. In our latest discussion with the Innovation Toolkit Team, Jen and Josh walk us through the power improvisation can have to start these conversations and how they refined their unique approach.
Jen Choi and Josh LeFevre and the power of “Yes, And”
Innovation, much like improv, isn’t easy, but it can be a powerful way to bring people into a conversation they might typically avoid or feel excluded from. In our latest discussion with the Innovation Toolkit Team, Jen and Josh walk us through the power improvisation can have to start these conversations and how they refined their unique approach.
So You Want to Think Like a Data Scientist? The Importance of Visualizations in the Data Science Workflow
Although the moniker data scientist implies that the role centers around manipulating data and modeling it, visualizing data and creating visualizations are an integral part of the daily workflow for practicing data scientists like me. Not only do visualizations allow us to communicate results quickly and efficiently, but visualizing is a key tool during exploratory data analysis, data cleaning, modeling, and other steps of the process of telling stories with numbers.
So You Want to Think Like a Data Scientist? The Importance of Visualizations in the Data Science Workflow
Although the moniker data scientist implies that the role centers around manipulating data and modeling it, visualizing data and creating visualizations are an integral part of the daily workflow for practicing data scientists like me. Not only do visualizations allow us to communicate results quickly and efficiently, but visualizing is a key tool during exploratory data analysis, data cleaning, modeling, and other steps of the process of telling stories with numbers.
Coming Back to Make a Difference, Find a Passion, and Change the World
In a mid-summer virtual lunch with student interns, MITRE President and CEO Dr. Jason Providakes said, “We’ve had all this bad news [this summer], but the fact that MITRE can continue an internship program is a testament to our commitment of building the future workforce and serving the public interest.” A key part of MITRE’s overall student program this past summer, which involved nearly 500 student staff members, was the Emerging Technologies Summer Student Research Program, which began in 1989, and despite the pandemic, successfully completed its 32nd summer in 2020, under the leadership of Dr. James Ellenbogen.
Coming Back to Make a Difference, Find a Passion, and Change the World
In a mid-summer virtual lunch with student interns, MITRE President and CEO Dr. Jason Providakes said, “We’ve had all this bad news [this summer], but the fact that MITRE can continue an internship program is a testament to our commitment of building the future workforce and serving the public interest.” A key part of MITRE’s overall student program this past summer, which involved nearly 500 student staff members, was the Emerging Technologies Summer Student Research Program, which began in 1989, and despite the pandemic, successfully completed its 32nd summer in 2020, under the leadership of Dr. James Ellenbogen.
Knowledge Advantage
Cross-Organizational Information Sharing
Machine Learning, Artificial Intelligence, and Data Science
Intranets, Business Process, and Knowledge Operations
Collaboration, Partnerships and Social Media
