Sat.Aug 27, 2022 - Fri.Sep 02, 2022

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Most Frequently Asked NLP Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Natural language processing (NLP) is the branch of computer science and, more specifically, the domain of artificial intelligence (AI) that focuses on providing computers the ability to understand written and spoken language in a way similar to that of humans. Combining computational linguistics […].

NLP 391
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Reverse engineering the NTK: towards first-principles architecture design

BAIR

Deep neural networks have enabled technological wonders ranging from voice recognition to machine transition to protein engineering, but their design and application is nonetheless notoriously unprincipled. The development of tools and methods to guide this process is one of the grand challenges of deep learning theory. In Reverse Engineering the Neural Tangent Kernel , we propose a paradigm for bringing some principle to the art of architecture design using recent theoretical breakthroughs: fir

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MLOps Helps Mitigate the Unforeseen in AI Projects

DataRobot Blog

The latest McKinsey Global Survey on AI proves that AI adoption continues to grow and that the benefits remain significant. But in the COVID-19 pandemic’s first year, many felt more strongly about the cost-savings front than the top line. At the same time, AI remains complex and out of reach for many. For example, a recent IDC study 1 shows that it takes about 290 days on average to deploy a model into production from start to finish.

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AI Rapper Turns Out To Be A Racist

Dlabs.ai

They say music unites people. But who would have thought that this time, the lyrics that connected listeners were actually written by racist artificial intelligence? Read on for the full story, alongside other AI news like stress-reducing rings and a robot that can understand your needs. It’s all in the latest edition of InsideAI… Let’s go! AI Rapper Loses Contract Through Racism Capital Records recently signed a contract with FN Meka: an ‘AI rapper’ built in 2019 by the music label Factory N

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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

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

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Machine Learning: Adversarial Attacks and Defense

Analytics Vidhya

Introduction Adversarial machine learning is a growing threat in the AI and machine learning research community. The most common reason is to cause a malfunction in a machine learning model; an adversarial attack might entail presenting a model with inaccurate or misrepresentative data as its training or introducing maliciously designed data to deceive an already […].

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Best Practice Series #3 – Are you AI Curious? Get your AI Strategy Now

Wisdom Works

Are you AI Curious? Earlier this year, we ran a survey to see how many businesses where adopting the benefits of AI and at what stage they were at in the journey. The results were quite frankly astonishing – only a few of the businesses we surveyed had started the process of adopting AI into their business. This didn’t seem to relate to the size of the business or the technical skills and experience of the team either.

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Travelogue: Defined.ai at ICASSP 2022 – Part 2: My Top 3 Papers of ICASSP 2022

Defined.ai blog

Welcome back, dear readers, to Defined.ai’s highlights of ICASSP 2022! In part II of our adventure chronicle, I’ll be getting nerdy and highlighting some of the best papers—in my humble opinion—that we read and discussed in Singapore. While there was an excellent system for “best papers” at the conference, I’m mainly interested in focusing on those with objective metrics for text-to-speech (TTS) systems since Evaluation of Experience (EoE) is one of our key offerings at Defined.ai, and of course

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How to extract keywords from News API headlines using NLP

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Search engines make use of keywords for search optimization. It is the best way to help users get the most out of their search. Bloggers and content writers use keywords to target their audience. Keyword extraction is important because it gives you […]. The post How to extract keywords from News API headlines using NLP appeared first on Analytics Vidhya.

NLP 371
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From motor control to embodied intelligence

DeepMind

Using human and animal motions to teach robots to dribble a ball, and simulated humanoid characters to carry boxes and play football

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15 Modern Use Cases for Enterprise Business Intelligence

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?

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Best Practice Series #3 – Are you AI Curious? Get your AI Strategy Now

Wisdom Works

Are you AI Curious? Earlier this year, we ran a survey to see how many businesses where adopting the benefits of AI and at what stage they were at in the journey. The results were quite frankly astonishing – only a few of the businesses we surveyed had started the process of adopting AI into their business. This didn’t seem to relate to the size of the business or the technical skills and experience of the team either.

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spaCy behind the scenes: library patterns & design concepts explained

Explosion

Developer productivity has been central to our design of spaCy, both in smaller decisions and some of the bigger architectural questions. We believe in embracing the complexities of machine learning, not hiding it away under leaky abstractions, while also maintaining the developer experience. Read on to learn some of the design patterns within the library, how we've implemented them, and most importantly, why.

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Real or Not? Disaster Tweets classification with RoBERTa

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Today we live in a world of active social networking where every kind of information is shared among users worldwide. This is greatly facilitated by the ubiquitousness of smartphones and other handheld communication devices. Some popular sites are Facebook, Whatsapp, LinkedIn, etc.; […].

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From motor control to embodied intelligence

DeepMind

Using human and animal motions to teach robots to dribble a ball, and simulated humanoid characters to carry boxes and play football

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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

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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DALL·E: Introducing outpainting

OpenAI

Extend creativity and tell a bigger story with DALL·E images of any size.

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How to Connect IoT Sensors Wirelessly With a Web Application

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction This article will discuss how we can wirelessly send data of various IoT sensors from a microcontroller to a web application. Also, we will store that data in a MongoDB database to process it according to our needs and requirements. Sending the […]. The post How to Connect IoT Sensors Wirelessly With a Web Application appeared first on Analytics Vidhya.

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Top 40 Data Science Statistics Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction As Josh Wills once said, “A Data Scientist is a person who is better at statistics than any programmer and better at programming than any statistician“ Statistics is a fundamental tool when dealing with data and its analysis in Data Science. It provides […].

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Frequently Asked Data Science Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction This article will discuss some data science interview questions and their answers to help you fare well in job interviews. These are data science interview questions and are based on data science topics. Though some of the questions may sound basic, these are frequently […].

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

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.

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What is AWS EFS? How to Optimize It?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Amazon EFS is an AWS file-sharing service that allows you to manage file shares like those used in traditional networks. This works by mounting them to an Infrastructure as a Service (IaaS) compute instance or local computers using the NFS protocol. In this post, […].

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Meta-Learning: Structure, Advantages & Examples

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The field of meta-learning, or learning-to-learn, has seen a dramatic increase in interest in recent years. Unlike conventional approaches to AI, where tasks are solved from scratch using a fixed learning algorithm, meta-learning aims to improve the algorithm, considering the experience of multiple […].

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Training and Monitoring Multiple Models using Layer

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction We may encounter many issues when working on a machine learning project. It is challenging to train and monitor multiple models. It’s possible that each model has unique characteristics or parameters. Assessing and exploiting these models without suitable performance monitoring and model […].

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How Apache Iceberg Works with Partitioning?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Apache Iceberg is an open-source spreadsheet format for storing large data sets. It is an optimization technique where attributes are used to divide a table into different sections. Learn more about partitioning in Apache Iceberg and follow along to see how easy partitioning […].

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The Tumultuous IT Landscape Is Making Hiring More Difficult

After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

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Crucial Data Engineer Skills for a Successful Career

Analytics Vidhya

Introduction Data engineering and data science have been one of the hottest trends in the vocational market for quite some time. Given the prediction by industry pundits and researchers, the demand for these two roles will witness a massive surge in the coming time. To build a successful career in data engineering, the aspirants need […]. The post Crucial Data Engineer Skills for a Successful Career appeared first on Analytics Vidhya.

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YOLOv7- Real-time Object Detection at its Best

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction To achieve complete insight into image or video understanding, we should not only focus on classifying different images but also try to estimate the position of objects in each image precisely. This task is mainly referred to as object detection, which normally […].

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Complete Guide to run Machine learning on Spark using Spark MLLIB

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The digital transformation has given rise to the release of massive amounts of data each second, and companies’ servers are not that powerful to bear the load. It is tough to store and process a massive amount of data and more difficult […]. The post Complete Guide to run Machine learning on Spark using Spark MLLIB appeared first on Analytics Vidhya.

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Pandas Profiling – A Visual Analytics Wonder

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Pandas’ Python profiling package produces an interactive set of tables and visualizations for exploratory data exploration (EDA). It can be difficult to understand pandas, associated data analysis tools (matplotlib, seaborn, etc.), and all the coding techniques and properties.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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Supervised Topic Models

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Topic models, an essential part of Natural Language Processing (NLP) workflows, can be used in multiple and diverse fields. There are two main problems with topic models: finding topics that can be used to predict an outcome and making it easier to understand […].

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Guide to MetaMask Mobile Application

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Have you been in the cryptocurrency space for a while now? If yes, you have probably heard about how several centralized exchanges such as Celsius, Voyager, and Vauld suspended users’ assets (crypto). Users’ assets were stuck in these exchanges, preventing them from […].

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Regularization in Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction When training a machine learning model, the model can be easily overfitted or under fitted. To avoid this, we use regularization in machine learning to properly fit the model to our test set. Regularization techniques help reduce the possibility of overfitting and […].