Fri.Aug 26, 2022

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Working with Images and Videos using OpenCV

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction As we all know, Computer Vision has gained huge popularity in Machine Learning and Artificial Intelligence. The image recognition skill allows computers to process more information than the human eye, often faster and more accurately, or simply when people are not involved in […].

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Palantir Operationalizes Analytics and Data for Actions and Decisions

David Menninger's Analyst Perspectives

Organizations are managing and analyzing large datasets every day, identifying patterns and generating insights to inform decisions. This can provide numerous benefits for an organization, such as improved operational efficiency, cost optimization, fraud detection, competitive advantage and enhanced business processes. By bringing the right, actionable data to the right user, organizations can potentially speed up processes and make more effective operational decisions.

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Most Asked Interview Questions on Apache Spark

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark’s in-memory data processing capabilities make it 100 times faster than Hadoop. It has the ability to process a huge amount of data in such a short period. The most […].

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Machine Learning is Not Like Your Brain Part Seven: What Neurons are Good At

KDnuggets

Thus far, this series has focused on things that Machine Learning does or needs which biological neurons simply can’t do. This article turns the tables and discusses a few things that neurons are particularly good at.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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Increase Customer Satisfaction- On-Time Delivery with TNT

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction “Don’t over-promise, don’t underpromise, deliver what you promise.” Customer satisfaction is one of the key areas to focus on for establishing any successful business. A satisfied customer is the biggest asset for any organization. Word of mouth lends credibility to the brand […].

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AI Helps Automate Tax Compliance Procedures

Smart Data Collective

AI technology has helped companies boost profitability and increase efficiency in many ways. According to most surveys, 90% of the most successful companies use AI to some degree. One of the most beneficial applications of AI is in the realm of tax compliance. You can automate your tax compliance process by using sophisticated AI-driven software. AI is Becoming Essential for Promoting Tax Compliance.

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Machine Learning in Drug Discovery, Translational Science, and Clinical Research

Dataiku

I’m not going to lie to you. Despite years of hype, AI is still in its infancy in the pharmaceutical industry (feel free to reach out to me for a lively debate if you disagree). Moreover, let’s all admit to ourselves that, when we say “AI,” we broadly include machine learning (ML), data science, and really any efforts that advance digitization.

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Is it Finally Time for Change in the Insurance Industry?

Teradata

Is insurance immune from the surge in data-driven applications in other industries? Of course not, but why has there been such a slow uptake in data resources?