Sun.Sep 19, 2021

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How to Develop a Virtual Keyboard Using OpenCV

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction OpenCV is the most popular library for the task of computer vision, it is a cross-platform open-source library for machine learning, image processing, etc. using which real-time computer vision applications are developed. CVzone is a computer vision package, where it uses OpenCV and […].

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Here’s How AI-backed Insurance Plans Make Your Life Easy

Smart Data Collective

You might be surprised to hear that AI is becoming more important in the field of insurance than ever. Insurance companies have been using AI and big data for underwriting and other functions for years. As Gen Z is now beginning to make radical financial decisions for themselves, we’ve seen a rise in the number of platforms and applications that are now automating the process of insurance policies.

Insurance 103
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Three Computer Vision Projects to Skyrocket your Data Science Career!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Most people, when starting to learn Data Science and Machine Learning, often get bored if they don’t get a chance to play with some interesting code in some real-life projects where they can work on different stages of the pipeline of the Data […]. The post Three Computer Vision Projects to Skyrocket your Data Science Career!

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Unilever

Teradata

Teradata Vantage on Azure supports 27 business services across supply chain, sales, finance, HR, and more.

Finance 98
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Top 3 Data Catalog Features You Must Have

Octopai

Analysis paralysis. We’ve all been there, right? Choosing which flavor of ice cream to get. Picking which outfit to wear to tonight’s party. Deciding which show to binge-watch. And, of course, selecting which data catalog software to invest in. The array of available options – and of features within those options – can make your head spin.

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What Skills Are Needed for a Career in Data-Driven Cybersecurity?

Smart Data Collective

Big data has become more important than ever in the realm of cybersecurity. You are going to have to know more about AI, data analytics and other big data tools if you want to be a cybersecurity professional. Big Data Skills Must Be Utilized in a Cybersecurity Role. As far as computer and information technology occupations go, security awareness training is a key starting point for anyone interested in the bright future that this sector offers.