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Webcast: Into Data Science | Understanding K-Means

Join us for the second webcast in a series of fundamental concepts in data science, machine learning and AI. In this webcast we are covering the K-Means algorithm. We'll answer questions such as: . What is it? . What is it good for? . How can we use it? The webcast includes a demo...

 Fri April 26, 2019 | 11:00 AM - 12:00 PM ET


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Global Data Science Forum

This is the library for the Global Data Science Forum Data Science


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Data Science1

This is the library for the Data Science Data Science


Blog Entry
I <3 Graphs

“Graphs are a basic kind of data representation used in data science.” I recall writing that line on a whiteboard a few years ago during a course, to see what responses it might draw. I heard back a few “Well, is that really true?” remarks. By “graphs”, I don’t mean the sense of “graphics” and ...

Paco Nathan's profile image

Discussion Post
Test

And #datascience​ -- Isaiah Brown --


Discussion Reply
RE: Facebook using Data Science

Facebook is the world's leading social media giant. It makes heavy usage of data science for social media analytics as well as advertisements. Facebook deploys quantitative analysis of a large scale social media data to gain insights about the various social interactions of the people. With...


Discussion Thread 2
Facebook using Data Science

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Discussion Post
Facebook using Data Science

How does Facebook use Data Science for Social Media Analytics and Advertisements? How it revolutionize data. What is the role of data scientist in this? -- Bharvi vyas --


Blog Entry
Event Recap: SF Python April 2019 Project Night

This week IBM took part in sponsoring the local San Francisco Python meetup group for their April project night. Going to community events is always a great way to spend time away from work, to meet some new faces, see some familiar ones, and learn something new. Between taco bites from the...


Blog Entry
Shiny: A data scientist’s best friend

One of the most important skills for any data scientist is the ability to clearly communicate results to a general audience. These are the people who need to understand the insights in order to take further action. Unfortunately, too many data science projects are bogged down in math and...