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Data Science Experience

IBM Data Science Experience supports the data scientist community to learn, create, and collaborate.

http://datascience.ibm.com/

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Data Science Experience | datascience.ibm.com Reviews
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IBM Data Science Experience supports the data scientist community to learn, create, and collaborate.
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Data Science Experience | datascience.ibm.com Reviews

https://datascience.ibm.com

IBM Data Science Experience supports the data scientist community to learn, create, and collaborate.

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IBM Data Science Experience

http://datascience.ibm.com/docs

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The Mathematics of Machine Learning

http://datascience.ibm.com/blog/the-mathematics-of-machine-learning

Welcome to the Data Science Experience. The Mathematics of Machine Learning. Why Worry About The Maths? There are many reasons why the mathematics of Machine Learning is important and I will highlight some of them below:. Selecting the right algorithm which includes giving considerations to accuracy, training time, model complexity, number of parameters and number of features. Choosing parameter settings and validation strategies. Estimating the right confidence interval and uncertainty. This is importan...

3

Data Science Experience

http://datascience.ibm.com/features

Use your favorite programming language, tap into the latest open source tools, and take advantage of IBM innovation and expertise to deliver exceptional results. Organize analytic and data assets into projects so you can share work with collaborators. Work seamlessly with your team with document comments and sharing. Access our dynamic set of tools from one place; never leave the workspace. Easy access to what you need. What’s in a project? Combine assets into a project for easy collaboration. Test and d...

4

IBM Data Science Experience Blog

http://datascience.ibm.com/blog

Welcome to the Data Science Experience. IBM Data Science Experience Blog. Page 1 of 1. Connecting DSX - RStudio to on-prem DB2 for z/OS database. IBM Data Science Experience provides an environment that brings together all of a data scientist's tools into one location. It includes the most popular Open Source ». Markdown for Jupyter notebooks cheatsheet. Beautiful graphs in notebooks are great, but I want my explanatory text to look good too! Somehow I can't remember all the Markdown tags, so I ». We are...

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jhorwitz | @JSHorwitz

http://www.joelshorwitz.com/author/jhorwitz

Open Source, Data Science, Startups, and Life. Data Needs a Platform. At IBM, we have recognized this shift by declaring our strategic initiatives as cloud computing and cognitive solutions. At the center of this shift is data. Said another way, our clients are moving their business online and in doing so creating data exhaust that can be leveraged for machine learning to build data products like customer service chat bots. As the Analytics OS. Makes analytics consumable and the Data Science Experience.

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IBM Analytics Platform - Home - United States

http://www.ibm.com/software/analytics/cognos/cognos10

Data and content management. Manage your data in on-premises, cloud or hybrid cloud environments, and adapt easily to changing business requirements. What is the data and analytics platform? Learn how customers are using the IBM Analytics Platform. Use analytics to uncover opporunities in all types of data from a variety of sources, within and beyond your organization. Data and content management. A future-proof analytics platform can increase your flexibility while reducing your risk, easily blending ne...

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Data Science Experience

Master the art of data science. Solve your toughest data challenges with the best tools and the latest expertise in a social environment built by data scientists. Sign Up For a Free Trial. Machine Learning lets you create and train predictive analytics models. Learn More. Get started or get better with built-in learning. Use the best of open source tooling with IBM innovation. Work smarter using community, work faster with your team. A Growing Set of Data Science Tools. Machine Learning (Coming Soon).

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KIT - Data Science -Startseite

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Data Science :: Home

Doctoral training in the theory and practice of data science at the University of Edinburgh. Data science is the study of the computational principles, methods, and systems for extracting knowledge from data. Large data sets are now generated by almost every activity in science, society, and commerce ranging from molecular biology to social media, from sustainable energy to health care. How can we efficiently find patterns in these vast streams of data? Check out some examples of the wide-ranging researc...

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Data Science

Skip to main content. Enhancing Data Sharing and Analysis. IQSS Data Science Team. Interns and Visting Scholars. Data Science at IQSS combines expertise in software engineering, statistical innovation and data curation. Meet our team. We are now a community! July 10, 2015. The first annual Dataverse Community Meeting June 9-11th was a success thanks to you, the Dataverse Community! Thank you to all who attended the meeting, presented, and participated in breakout sessions each afternoon. April 9, 2015.