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How To Build and Deploy an NLP Model with FastAPI: Part 1

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Model deployment is one of the most important skills you should have if you're going to work with NLP models. Model deployment is the process of integrating your model into an existing production environment. The model will receive input and predict an output for decision-making for a specific use case. There are different ways you can deploy your NLP model into production, you can use Flask, Django, Bottle e.t.c .But in today's article, you will learn how to build and deploy your NLP model with FastAPI. In part 1, we will focus on building an NLP model that can classify movie reviews into different sentiments.


Google's Nest Audio smart speaker hits new low of $75

Engadget

At $100, Google's impressive Nest Audio was already good value for money, but a 25 percent discount has now brought it down to an even more affordable $75. Perhaps, it's a case of Google countering Amazon's early Prime Day deals on Echo speakers with a new all-time low price. Whatever the reasons behind the latest promo, it's always nice to have another option when shopping for tech. The Nest Audio is a solid bet for music fans on a budget. As we noticed in our tests, it's slightly louder than Apple's HomePod Mini and packs stronger bass, too. Inside the speaker is a 75mm woofer and 19mm tweeter, while the Google Home and Nest Mini make do with single drivers.


Insurance Chatbot

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Life can come at you in unpredictable ways, and having yourself safely insured is always a smart investment plan. The core of any insurance plan is to provide you with protection. Making small investments in insurance can provide you with financial security in advance. Now, with technological advancements and messaging platforms growing popular, the insurance sector has seen a significant surge in the way it has been running all along. Insurance is a data-driven sector and in the last many years, data corruption has been a persistent problem in this sector.


Ways to Upgrade Your Digital Marketing Efforts in 2021

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These days, the task of marketing your business must include a huge digital component as the world increasingly transitions to online from real interactions. For most modern businesses, budgets demonstrate the transition to digital. For instance, digital ad spending increased by 12% in 2020, despite the pandemic. No business can afford to ignore the digital landscape and e-commerce these days. So if you're looking for ways to upgrade your digital marketing for 2021 to take advantage of recent changes, you're in the right place.


India Can Witness a Bright Future with Artificial Intelligence (Ai)

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India is slowly yet steadily taking steps ahead to establish artificial intelligence in several domains. Where, NASSCOM President Debjani Ghosh had mentioned that, in order to make India realize its full AI potential, a coalition of government, industries, and startups are required to come up with the necessary infrastructure and policy support. This will aid in enabling AI innovation across various sectors thereby mentoring and providing financial backing to the startups. In addition, according to a report by Accenture, artificial intelligence is anticipated to add on $957 billion or 15% of India's present GDP value by the year 2035. The amalgamation of technology, information along with the possibility and ability to create intelligent systems has reached critical mass thereby navigating towards exceptional growth in AI investment.


AI can now convincingly mimic cybersecurity and medical experts

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If you use such social media websites as Facebook and Twitter, you may have come across posts flagged with warnings about misinformation. So far, most misinformation – flagged and unflagged – has been aimed at the general public. Imagine the possibility of misinformation – information that is false or misleading – in scientific and technical fields like cybersecurity, public safety and medicine. There is growing concern about misinformation spreading in these critical fields as a result of common biases and practices in publishing scientific literature, even in peer-reviewed research papers. As a graduate student and as facultymembers doing research in cybersecurity, we studied a new avenue of misinformation in the scientific community.


This High Schooler Created a Drug Discovery Search Engine

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Between his mom's place in Manhattan, his dad in Queens, and his high school in the Bronx, Noah Getz is on the subway a lot. It gives him time to read and to think. Our first coronavirus summer was waning, and he'd been wrestling with a weighty science problem: using machine learning to hunt down tiny molecules that may help treat Alzheimer's. Thus far, his AI had been spitting out results that were "almost comically bad." The problem was that the algorithms Getz was using did their best when they had massive amounts of data to sift through and discover patterns in. Getz' data set was far smaller; he was working with one lab at Mount Sinai, not a multinational pharmaceutical company with a galaxy-sized drug library.


Advanced AI eBooks Bundle by Morgan Claypool

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If the potential and possibility of artificial intelligence has always fascinated you, get ready for the perfect bundle to fill the next few weeks with! Humble Bundle teamed up with Morgan & Claypool to bring you insights into AI and its applications into autonomous vehicles, conversational systems, and more! Pick up this bundle and you'll enjoy discovering eBooks like Why AI/Data Science Projects Fail: How to Avoid Project Pitfalls, Deep Learning Systems: Algorithms, Compilers, and Processors for Large-Scale Production, and Conversational AI: Dialogue Systems, Conversational Agents, and Chatbots. Your purchase of this bundle helps support a charity of your choice. This bundle launched on June 14 at 11:00 am PST and lasts through July 05, 2021.


A Short Discussion on Bias in Machine Learning

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In the last decade, advances in data science and engineering have made possible the development of various data products across industry. Problems that not so long ago were treated as very difficult for machines to tackle are now solved (to some extent) and available at large scale capacities. These include many perceptual-like tasks in computer vision, speech recognition, and natural language processing (NLP). Nowadays, we can contract large-scale deep learning-based vision systems that can recognize and verify faces on images and videos. In the same way, we can take advantage of large-scaled language models to build conversational bots, analyze large bodies of text to find common patterns, or use translation systems that can work on nearly any modern language.


Council Post: How Asset Management Firms Can Use AI For Data Analytics

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Artificial intelligence is transforming the asset management industry by enabling fundamental analysts to research and extract more information faster so they can uncover accurate investment insights. Analysts spend hours and sometimes even days manually researching hundreds of sources. This process is extremely labor-intensive, and it's easy for analysts to miss critical pieces of information. Analysts can use AI and natural language processing (NLP) to detect and extract the most relevant facts from unstructured datasets. One of the ways AI has evolved is with its accessibility.