Fri.Oct 22, 2021

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Tracking Your Machine Learning Project Changes with Neptune

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Working as an ML engineer, it is common to be in situations where you spend hours to build a great model with desired metrics after carrying out multiple iterations and hyperparameter tuning but cannot get back to the same results with the […]. The post Tracking Your Machine Learning Project Changes with Neptune appeared first on Analytics Vidhya.

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Tech workers warned they were going to quit. Now, the problem is spiralling out of control

DataKitchen

The post Tech workers warned they were going to quit. Now, the problem is spiralling out of control first appeared on DataKitchen.

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4 Reasons to Hire a Data Science Company

Smart Data Collective

1.145 trillion megabytes! Unbelievably, this is the amount of data that was created every day in 2021. That’s a lot of data and a lot of work for experts working in the field of data science services. Amidst growing competition, businesses are under increasing pressure to come up with unique and more cost-effective ways to manufacture and market their products.

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Five Ways AI Can Help States Solve Their Hardest Problems (Part 2): Mitigate Risk and Fraud

DataRobot

In part one of our “Five Ways AI Can Help States Solve Their Hardest Problems” blog series, we reviewed the ramifications of crisis response management—or lack thereof—and how AI can help. As part of the COVID-19 crisis response, the federal government has provided aid to states and localities by designating federal recovery funds. Consequently, the influx of recovery funds is now resulting in increased fraud, waste, and abuse across government—including social services—preventing dollars from g

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Applications of NLP in Subsurface Geology

Dataiku

Data science in the energy industry has been around for quite a long time, with innovative techniques such as neural networks dating back to the 1980s.

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Weaving Architectural Patterns: I – Data Fabric

Data Virtualization

Since its first incarnation almost 35 years ago in my IBM Systems Journal article, the data warehouse (DW) has remained a key architectural pattern for decision-making support. By decision-making support, I mean everything from simple reporting and querying to AI-based. The post Weaving Architectural Patterns: I – Data Fabric appeared first on Data Virtualization blog.

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Week in the Life of an Analyst at Gartner US IT Symposium (virtual) 2021

Andrew White

If you follow my blog for any period of time you will know that for most years I have attended our annual Gartner IT Symposium I do a day-in-the-life blog of an analyst. This often starts with a graphic of my mind waves (courtesy of Muse) and then you get an hour by hour run down of what I do every day. I then wrap it all up with a summary of my 1-1s.

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What is a data science certification?

DataCamp

Here is an overview of what a data science certification is, as well as a guide to certification-related resources available here on DataCamp.

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How to Automate Apache NiFi Data Flow Deployments in the Public Cloud

Cloudera

With the latest release of Cloudera DataFlow for the Public Cloud (CDF-PC) we added new CLI capabilities that allow you to automate data flow deployments, making it easier than ever before to incorporate Apache NiFi flow deployments into your CI/CD pipelines. This blog post walks you through the data flow development lifecycle and how you can use APIs in CDP Public Cloud to fully automate your flow deployments.

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