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Moving Enterprise Data From Anywhere to Any System Made Easy

Cloudera

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. Instead they built or purchased tools for data collection that are confined with a class of sources and destinations.

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Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

After forming the X and y variables, we split the data into training and test sets. Looking at the target vector in the training subset, we notice that our training data is highly imbalanced. 2015) for additional details. X = clean_df.loc[:, clean_df.columns != "credit"] y = clean_df["credit"].

Modeling 139
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Moving Enterprise Data From Anywhere to Any System Made Easy

CIO Business Intelligence

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. Instead they built or purchased tools for data collection that are confined with a class of sources and destinations.

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MLOps and the evolution of data science

IBM Big Data Hub

Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. These insights can help drive decisions in business, and advance the design and testing of applications. MLOps and IBM Watsonx.ai

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Digital Analytics + Marketing Career Advice: Your Now, Next, Long Plan

Occam's Razor

When you go to the interview, the hiring company will proceed to ask questions that test your competency in the listed job requirements. Test for analytics experience AND explore the level of analytical thinking the job candidate possesses. Optimal Starting SCOTUS Starting Points. This is normal. Science or Fiction?

Marketing 136
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Magnificent Mobile Website And App Analytics: Reports, Metrics, How-to!

Occam's Razor

Company UX leaders are happy to stink less by taking the sub-optimal path of responsive design, rather than create a mobile-unique experience (your customers tend to do different things on your desktop site than your mobile site!). In this post we will look mobile sites first, both data collection and analysis, and then mobile applications.

Metrics 141
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It's Not The Ink, It's The Think: 6 Effective Data Visualization Strategies

Occam's Razor

Ten years, and the 944,357 words, are proof that I love purposeful data, collecting it, pouring smart strategies into analyzing it, and using the insights identified to transform organizations. It also forces a lot less think than might be optimal. Everything seems sub-optimal. Yes, text can be optimized.