Thu.Oct 01, 2020

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HackLive – Everything You Need to Get Started with Data Science Hackathons!

Analytics Vidhya

Introduction Data science competitions are awesome! I love the variety of business problems we get to solve and when we add in the pressure. The post HackLive – Everything You Need to Get Started with Data Science Hackathons! appeared first on Analytics Vidhya.

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Free Remote-Work App: Remote Work Made Easy with erwin WFH Impact Manager

erwin

The erwin WFH (Work From Home) Impact Manager is a remote-work app that provides visibility and intelligence to help remote workers be more productive and process-compliant. The global pandemic is the single most disruptive event in modern times. Almost overnight organizations across the globe faced lockdowns, forcing them to switch to a remote-first workforce.

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7 Feature Engineering Techniques in Machine Learning You Should Know

Analytics Vidhya

Overview Feature engineering techniques are a must know concept for machine learning professionals Here are 7 feature engineering techniques you can start using right. The post 7 Feature Engineering Techniques in Machine Learning You Should Know appeared first on Analytics Vidhya.

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Machine Learning Maximizes Email Marketing ROI With List Segmentation

Smart Data Collective

Email has proven to be a remarkably resilient marketing medium. The ROI of email marketing can be up to 4,400%. However, email marketing is also rather complicated. Businesses that depend on email marketing need to take advantage of various types of technology to leverage it effectively. We have previously written about the benefits of data driven marketing , but wanted to focus more on the benefits of machine learning as well.

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Get Better Network Graphs & Save Analysts Time

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.

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Introduction to Python Functions for Data Science Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Python is a truly wonderful programming language. Python’s flexibility has made. The post Introduction to Python Functions for Data Science Beginners appeared first on Analytics Vidhya.

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Will Finance Become 100% Digitalized?

Jedox

We have been talking about a digital transformation in Finance for ages. Some have come far on the journey while others are still struggling. Having just gone through a severe crisis that saw everyone working remotely and using digital tools makes this transformation more relevant than ever. . Right now, we are looking at two almost extreme cases: On one hand, we are at a stage where the transformation can be completed because of all the tools are available.

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How Data Technology Disrupts Facebook Advertising At Its Core

Smart Data Collective

We have talked about some of the biggest ways that big data has influenced the field of marketing. One of the biggest changes big data has created in recent years is in the realm of Facebook advertising. Facebook has been one of the pioneers in big data technology for years. However, many brands haven’t figured out how to use the site’s data to their own advantage.

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Providing fine-grained, trusted access to enterprise datasets with Okera and Domino

Domino Data Lab

Domino and Okera – Provide data scientists access to trusted datasets within reproducible and instantly provisioned computational environments. In the last few years, we’ve seen the acceleration of two trends — the increasing amounts of data stored and utilized by organizations, and the subsequent need for data scientists to help make sense of that data for critical business decisions.

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Interview With First Tech Federal Credit Union: Scaling Enterprise AI With Dataiku

Dataiku

It is a very exciting time in financial services and banking as the industry has become a commodity in many consumers’ minds and, particularly in the wake of disruption in 2020, people have never been more intent on digitizing their banking. Financial institutions are competing to remain relevant and differentiate themselves as a preferred and trusted choice for the consumer.