Autor: Melvyn Rodriguez Delgado
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The Man Who Counts Every Shooting in America The New York Times
Many tech companies have temporarily shuttered their offices and moved staff to remote work instead. Work-life balance can be more important to remote workers than those in-office. When your home and office are located in the same place, it can be stressful and hard to separate the two. Their answers can show how they maintain…
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Google Announces Bard, Its Rival To Microsoft-Backed ChatGPT
Google trials its own AI chatbot Bard after success of ChatGPT Google This cutting-edge AI technology aims to revolutionize the information-gathering process and how we use search engines. Since then we’ve continued to make investments in AI across the board, and Google AI and DeepMind are advancing the state of the art. Today, the scale…
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Generative AI For Insurance: Use Cases And Applications by Kanerika Inc
Generative AI is Coming For Insurance: Celent Report Insurance Innovation Reporter Finally, Goldman Sachs said growth for internet companies is maturing compared to a decade ago. Growth is slowing and this is pushing firms to explore new areas and sub-sectors to keep expanding. It became the 9th largest company by market cap in the S&P…
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Difference between Artificial intelligence and Machine learning
Difference between AI, ML and DL We’ll discuss how ranking your developers with objective data will identify your top and worst producers, which empowers you to make strategic decisions that save money and time. Across a broad variety of applications, manufacturers are adopting AI and machine learning tools at a rapid pace. Analytical AI tools…
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AI Use Cases in Manufacturing: Big Overview
Top 10 Use Cases of AI in the Manufacturing Industry AI in manufacturing refers to using data in combination with machine learning and deep learning algorithms to automate tasks and make manufacturing operations faster, better, and more precise. Accurately forecasting demand is crucial for manufacturers to best plan production and, in turn, reduce inventory costs and maximize…
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Natural Language Processing NLP Tutorial
Effective Algorithms for Natural Language Processing It is primarily concerned with giving computers the ability to support and manipulate speech. It involves processing natural language datasets, such as text corpora or speech corpora, using either rule-based or probabilistic (i.e. statistical and, most recently, neural network-based) machine learning approaches. The goal is a computer capable of…
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A Survey of Semantic Analysis Approaches SpringerLink
Semantic Analysis Guide to Master Natural Language Processing Part 9 Note how some of them are closely intertwined and only serve as subtasks for solving larger problems. Syntactic analysis, also referred to as syntax analysis or parsing, is the process of analyzing natural language with the rules of a formal grammar. Grammatical rules are applied…
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Downloading and Setting Up the 82 Lottery App
Are you tired of continuously having to go to a physical lottery retailer to purchase your tickets? Do you want the convenience of being able to play the lottery anytime, anywhere? Look no further than the 82 Lottery App! This innovative app allows users to easily purchase lottery tickets and check their winnings all from…
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The Ultimate Guide to Natural Language Processing NLP
Biggest Open Problems in Natural Language Processing by Sciforce Sciforce The application of deep learning has led NLP to an unprecedented level and greatly expanded the scope of NLP applications. There are other, smaller-scale initiatives that can contribute to creating and consolidating an active and diverse humanitarian NLP community. Compiling and sharing lists of educational…
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How to Make a Shopping Bot in Three Steps?
How to Make an Online Shopping Bot in 3 Simple Steps? Understanding what your customer needs is critical to keep them engaged with your brand. They answer all your customers’ queries in no time and make them feel valued. If your competitors aren’t using bots, it will give you a unique USP and customer experience…