Wed.Oct 26, 2022

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KDnuggets News, October 26: A Data Science Portfolio That Will Land You The Job in 2022 • Is OLAP Dead?

KDnuggets

A Data Science Portfolio That Will Land You The Job in 2022 • Is OLAP Dead? • 10 Essential SQL Commands for Data Science • Why TinyML Cases Are Becoming More Popular • Ensemble Learning with Examples.

Portfolio 110
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Query Rewards: Building a Recommendation Feedback Loop During Query Selection

Pinterest Engineering

Bella Huang | Software Engineer, Home Candidate Generation; Raymond Hsu | Engineer Manager, Home Candidate Generation; Dylan Wang | Engineer Manager, Home Relevance In Homefeed, ~30% of recommended pins come from pin to pin-based retrieval. This means that during the retrieval stage, we use a batch of query pins to call our retrieval system to generate pin recommendations.

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Top 7 Diffusion-Based Applications with Demos

KDnuggets

Learn about various Diffusion-based applications to get inspiration for a final-year project, research, and product.

Project 116
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Detailed Elaboration of Product Segmentation, Targeting, and Positioning

U-Next

Introduction . Do you know what STP marketing is and its role in boosting revenue and conversions for your business? We will show you how segmentation, targeting, and positioning can be applied to marketing by illustrating real-life examples. . In modern-day marketing, segmentation targeting positioning is an important concept that has become one of the primary foundations for setting up a winning strategy.

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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

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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TF-IDF Defined

KDnuggets

Check out this breakdown of TF-IDF by defining its constituent parts.

IT 140
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Accelerating Projects in Machine Learning with Applied ML Prototypes

Cloudera

?. It’s no secret that advancements like AI and machine learning (ML) can have a major impact on business operations. In Cloudera’s recent report Limitless: The Positive Power of AI , we found that 87% of business decision makers are achieving success through existing ML programs. Among the top benefits of ML, 59% of decision makers cite time savings, 54% cite cost savings, and 42% believe ML enables employees to focus on innovation as opposed to manual tasks.

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Case Study: How Rockset's Real-Time Analytics Platform Propels the Growth of Our NFT Marketplace

Rockset

At Own the Moment , our mission is to drive the next generation of sports fandom – NFTs (non-fungible tokens) of pro athletes. Player NFTs are much more than the equivalent of digital baseball cards, they are the future of the sports collectibles market. We are helping to lead the way. Fans and investors can track real-time market values for NFL and NBA player NFTs through our service.

SQL 52
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The Future of Artificial Intelligence in Finance in India

U-Next

Introduction . The finance industry is among those who are figuring out ways to use revolutionary Artificial Intelligence technology. Artificial Intelligence refers to machines or systems replicating human intelligence and performing tasks like humans. Al intends to enhance human skills and capabilities to help them do their work easily and effectively.

Finance 40
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Announcing Monte Carlo’s Data Reliability Dashboard, a Better Way Understand the Health of Your Data

Monte Carlo

While data teams can agree that data quality is important, it can be incredibly difficult to quantify, let alone communicate to the rest of the business. What if there was a way to tell your analysts that their critical data set wasn’t being monitored? Or that their financial dashboards were plagued by weekly freshness issues? How about a means of tracking – and alerting – on outages as a function of uptime and downtime?

BI 52