IBM Big Data Hub

JULY 6, 2023

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Ultimately, data science is used in defining new business problems that machine learning techniques and statistical analysis can then help solve. appeared first on IBM Blog.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

O'Reilly on Data

MAY 27, 2020

Each of the classroom’s library books has a color coded sticker on its spine reflecting its Lexile score—a visual announcement of its official complexity level, and thus of which students might be officially ready to read it. This whole scoring system also changes the story about who librarians and teachers are.

Risk 356

Risk Testing Measurement Reporting 356

Domino Data Lab

AUGUST 8, 2019

Secondly: some key insights discussed at Sci Foo finally clicked for me—after I’d heard them presented a few times elsewhere. He’s been out of Wolfram for a while and writing exquisite science books including Elements: A Visual Explanation of Every Known Atom in the Universe and Molecules: The Architecture of Everything.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. I am honored to be able to present here and thrilled to have been involved in Rev. He was saying this doesn’t belong just in statistics. He also really informed a lot of the early thinking about data visualization. Session Summary.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

JANUARY 6, 2019

Laura Noren, who runs the Data Science Community Newsletter , presented her NYU postdoc research at JuptyerCon 2018, comparing infrastructure models for data science in research and education. Data visualization for prediction accuracy ( credit: R2D3 ). Also, clearly there’s no “one size fits all” educational model for data science.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Domino Data Lab

JULY 9, 2019

Chris Wiggins , Chief Data Scientist at The New York Times, presented “Data Science at the New York Times” at Rev. In 2001, Bill Cleveland writes this article saying, “You are doing it wrong.” It’s a visual problem so it works both in our MSE and it works by your eyeballs. And it works.

Data Science 112

Data Science Machine Learning Advertising Modeling 112