I wasn’t getting hired as a Data Scientist. So I sought data on who is.
KDnuggets
SEPTEMBER 6, 2019
Instead of focusing on skills thought to be required of data scientists, we can look at what they have actually done before.
KDnuggets
SEPTEMBER 6, 2019
Instead of focusing on skills thought to be required of data scientists, we can look at what they have actually done before.
IBM Big Data Hub
SEPTEMBER 6, 2019
The initial goal of sampling is to assess where the highest compliance risk areas are within your enterprise. Read blog to learn how IBM StoredIQ InstaScan accelerates this.
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KDnuggets
SEPTEMBER 6, 2019
From asking the best questions about data to answering those questions with certainty, understanding the value of these two seemingly different professions is clarified when you see how they should work together.
ScienceSoft
SEPTEMBER 6, 2019
To show business intelligence as a service from different angles, we provide two examples from our data analytics outsourcing practice, as well as the research findings.
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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
KDnuggets
SEPTEMBER 6, 2019
Hone your practical speech recognition application skills with this overview of building a voice assistant using Python.
Dataiku
SEPTEMBER 6, 2019
With summer officially over and fall setting in, the back-to-school excitement abounds. I sat down with Josh Hewitt , Director of Academics at Dataiku , and Diane Igoche , Curriculum Development Specialist at Dataiku, to understand how education and educators are adapting to the data and AI revolution.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Smarten
SEPTEMBER 6, 2019
SSDP (otherwise known as self-serve data preparation) is the logical evolution of business intelligence analytical tools. With self-serve tools, data discovery and analytics tools are accessible to team members and business users across the enterprise. What is SSDP? SSDP or Self-Serve Data Preparation is a crucial component of Advanced Data Discovery.
IBM Big Data Hub
SEPTEMBER 6, 2019
Note: This blog post was authored by Aaron Baughman with Stephen Hammer, Eythan Holladay, Eduardo Morales and Gary Reiss. Tennis play at the US Open consists of 254 matches in the men’s and women’s singles events totaling tens of thousands of points. During the tournament’s two weeks, many matches are played in parallel, and it’s virtually impossible for any tennis fan, or the editorial team at the United States Tennis Association (USTA), to capture any sizable percentage of the best points.
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