KDnuggets

AUGUST 8, 2019

Graph Machine Learning uses the network structure of the underlying data to improve predictive outcomes. Learn how to use this modern machine learning method to solve challenges with connected data.

Machine Learning 123

Machine Learning Analytics 123

IBM Big Data Hub

AUGUST 8, 2019

For the past nine years, Stack Overflow , a question-and-answer website for programmers, has polled developers to understand what technologies they are using and to find out what technologies they want to work with next. This year, the nearly 90,000 survey participants revealed that, once again, Python has risen in the ranks of language popularity.

IT 92

IT Technology 92

KDnuggets

AUGUST 8, 2019

Simply put, data science is an attempt to understand given data using the scientific method. That's why data science is a scientific discipline. You are free (and encouraged!) to apply data science to business use cases, just as you are encouraged to apply it to many other domains.

Data Science 101

Data Science IT 101

Smart Data Collective

AUGUST 8, 2019

Big data is the lynchpin of new advances in cybersecurity. Unfortunately, predictive analytics and machine learning technology is a double-edged sword for cybersecurity. Hackers are also exploiting this technology, which means that there is a virtual arms race between cybersecurity companies and black hat cybercriminals. Datanami has talked about the ways that hackers use big data to coordinate attacks.

Big Data 84

Big Data Data Processing Machine Learning Predictive Analytics 84

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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.

Visualization

KDnuggets

AUGUST 8, 2019

The reasons why Pluribus represents a major breakthrough in AI systems might result confusing to many readers. After all, in recent years AI researchers have made tremendous progress across different complex games. However, six-player, no-limit Texas Hold’em still remains one of the most elusive challenges for AI systems.

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Insight

AUGUST 8, 2019

5 things to know about Insight (Spoiler: it’s not a bootcamp!) Setting the record straight about the best program for transitioning to careers in data and tech New York Insight Fellows in June 2019 Over the past seven years, Insight has helped more than 2,000 Fellows transition into new careers in data and tech. For these Fellows, the experience is transformative; many of our alumni cite Insight as the best career move they’ve ever made.

Data Science 66

Data Science Cost-Benefit Big Data Management 66

Domino Data Lab

AUGUST 8, 2019

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. Introduction. Welcome back to our monthly burst of themespotting and conference summaries. In mid-July I got to attend Sci Foo , held at Google X. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

DataRobot

AUGUST 8, 2019

You can’t appreciate the good without first going through the difficult.

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8

Nutanix

AUGUST 8, 2019

Nutanix proudly participated at the general availability launch of the AMD EPYC™ family of processors.

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