Analytics Vidhya

NOVEMBER 7, 2022

This article was published as a part of the Data Science Blogathon. Introduction FaceIO is a cross-browser framework for user facial recognition authentication. Any website can use a JavaScript snippet to implement it. As more and more daily tasks are managed electronically rather than with pen and paper or face-to-face, the demand for quick and […].

Data Science 385

Data Science Computer Vision Python 385

AssemblyAI

NOVEMBER 6, 2022

Progress in AI is exploding – the AI industry’s value is projected to grow by over 13x over the next eight years. Now, product-led growth (PLG) companies are racing to take advantage of this high-value opportunity by embedding AI into key features that improve user experience, capture new markets, and drive adoption. Jasper, for example, is a PLG company that uses AI to generate automated marketing copy.

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DeepMind

NOVEMBER 7, 2022

Meet Sylvia Christie, our education partnerships manager who’s played a leading role in expanding our scholarship programme, which is marking its five-year anniversary.

AI 108

AI AI 108

Google Research AI blog

NOVEMBER 10, 2022

Posted by Jason Wei and Yi Tay, Research Scientists, Google Research, Brain Team The field of natural language processing (NLP) has been revolutionized by language models trained on large amounts of text data. Scaling up the size of language models often leads to improved performance and sample efficiency on a range of downstream NLP tasks. In many cases, the performance of a large language model can be predicted by extrapolating the performance trend of smaller models.

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Large Language Models NLP Natural Language Processing Machine Learning 98

Speaker: David Warren and Kevin O’Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

Analytics Vidhya

NOVEMBER 7, 2022

Introduction With the rapid growth of social network platforms, more and more people tend to share their experiences and emotions online. So, the task of emotion analysis of online texts is crucial in Natural Language Processing. Sometimes, it is also important to know the cause of the observed emotion. You may be wondering why we […]. The post A Brief Guide to Emotion Cause Pair Extraction in NLP appeared first on Analytics Vidhya.

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NLP Natural Language Processing 372

DeepMind

NOVEMBER 7, 2022

Meet Sylvia Christie, our education partnerships manager who’s played a leading role in expanding our scholarship programme, which is marking its five-year anniversary.

AI 57

AI AI 57

Google Research AI blog

NOVEMBER 8, 2022

Posted by Shunyu Yao, Student Researcher, and Yuan Cao, Research Scientist, Google Research, Brain Team Recent advances have expanded the applicability of language models (LM) to downstream tasks. On one hand, existing language models that are properly prompted, via chain-of-thought , demonstrate emergent capabilities that carry out self-conditioned reasoning traces to derive answers from questions, excelling at various arithmetic, commonsense, and symbolic reasoning tasks.

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Analytics Vidhya

NOVEMBER 7, 2022

This article was published as a part of the Data Science Blogathon. Introduction Deep learning is a branch of machine learning inspired by the brain’s ability to learn. It is a data-driven approach to learning that can automatically extract features from data and build models to make predictions. Deep learning has revolutionized many areas of […].

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Deep Learning Machine Learning Data Science 366

Dlabs.ai

NOVEMBER 10, 2022

Halloween might be behind us, but that doesn’t mean we have to forget those who have passed into another world. That’s why this week’s newsletter will dip into a ‘recent’ interview with Steve Jobs, alongside photos of Freddie Mercury and John Lennon as they’d look if they were alive today. And if that’s not enough to capture your imagination, not to worry.

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

DeepMind

NOVEMBER 7, 2022

Meet Sylvia Christie, our education partnerships manager who’s played a leading role in expanding our scholarship programme, which is marking its five-year anniversary.

AI 57

AI AI 57

Google Research AI blog

NOVEMBER 9, 2022

Posted by Peter H. Li, Research Scientist, and Sven Dorkenwald, Student Researcher, Connectomics at Google Mapping the wiring and firing activity of the human brain is fundamental to deciphering how we think — how we sense the world, learn, decide, remember, and create — as well as what issues can arise in brain disease or dysfunction. Recent efforts have delivered publicly available brain maps (high-resolution 3D mapping of brain cells and their connectivities) at unprecedented quality and scal

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Analytics Vidhya

NOVEMBER 7, 2022

This article was published as a part of the Data Science Blogathon. Introduction With the overwhelming hype of feature selection in machine learning and data science today, you might wonder why you should care about feature selection. The answer is that most machine-learning models require a large amount of training data. If you don’t have […].

Machine Learning 367

Machine Learning Data Science 367

Bugra Akyildiz

NOVEMBER 6, 2022

Articles Farama Foundation wrote about their incorporation through a blog post. The foundation’s main aim is to: standardize major existing open source reinforcement learning(RL) libraries maintain and house them through long term ensure their reproducibility, performance, and quality of the features The proposal and the foundation is going to be very similar to Linux Foundation or Apache Foundation, but they will be maintaining Reinforcement Learning libraries.

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Neural Network Large Language Models Automation Algorithm 52

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

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DataRobot Blog

NOVEMBER 8, 2022

How can you build a performance-driven organization where driving outcomes is ingrained in your culture and the ownership of the process is shared across agency and client stakeholders? Learn more from guest blogger Ikechi Okoronkwo, Executive Director, Business Intelligence & Advanced Analytics at Mindshare. Organizations like Mindshare, a global media agency network, drive client value by using data to understand consumers and how media influences them on a deeper level than any organizati

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Data Science Machine Learning Automation Explainability 59

Google Research AI blog

NOVEMBER 7, 2022

Posted by Noah Snavely and Zhengqi Li, Research Scientists, Google Research We live in a world of great natural beauty — of majestic mountains, dramatic seascapes, and serene forests. Imagine seeing this beauty as a bird does, flying past richly detailed, three-dimensional landscapes. Can computers learn to synthesize this kind of visual experience?

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Algorithm Computer Vision 52

Analytics Vidhya

NOVEMBER 7, 2022

This article was published as a part of the Data Science Blogathon. Introduction Missing values are the type of data that contains NaN or no value for the particular record of the dataset. Handling missing values is one of the most important and tricky parts of data cleaning and preprocessing in machine learning. Most machine […]. The post Top 5 Interview Questions on Missing Value Imputation appeared first on Analytics Vidhya.

Machine Learning 363

Machine Learning Data Science 363

Kavita Ganesan

NOVEMBER 8, 2022

There’s been a lot of talk about GPT-3 and generative AI in the news, social media, and probably from every AI practitioner or vendor whom you’ve been speaking with lately. Everyone is super excited about the future that such AI tools hold. But what exactly is this AI technology specifically and what does it mean for your business and your AI problems?

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Large Language Models ML Neural Network Data Scientist 52

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

Analytics Vidhya

NOVEMBER 7, 2022

This article was published as a part of the Data Science Blogathon. Introduction Cloud security is the practice of protecting data and information that is stored on or accessed through a cloud computing service. It is a broad term that covers a range of security concerns, from the physical infrastructure of the cloud to the […]. The post Getting Started with Important Cloud Security Protocols appeared first on Analytics Vidhya.

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Data Science 323

Analytics Vidhya

NOVEMBER 7, 2022

Hello, fellow data science enthusiasts, did you miss imparting your knowledge in the previous blogathon due to a time crunch? Well, it’s okay because we are back with another blogathon where you can share your wisdom on numerous data science topics and connect with the community of fellow enthusiasts. In November, Analytics Vidhya is back […].

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Analytics Vidhya

NOVEMBER 11, 2022

This article was published as a part of the Data Science Blogathon. Source: totaljobs.com Introduction Transformers are foundational models that brought a massive revolution in the AI domain. The sheer scale and purview of foundation models in recent years have outpaced our expectations for what is feasible. Given this, it is imperative to prepare this topic […].

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