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 […].

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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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DALL·E: Introducing Outpainting

OpenAI

Extend creativity and tell a bigger story with DALL-E images of any size Original outpainting by Emma Catnip Today we’re introducing Outpainting, a new feature which helps users extend their creativity by continuing an image beyond its original borders — adding visual elements in the same style, or taking a story in new directions — simply by using a natural language description.

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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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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.

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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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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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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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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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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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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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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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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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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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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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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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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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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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How to Improve Email Deliverability and Optimize Each Send

Learn how to optimize email deliverability and drive greater email ROI. What lands your email in the customer’s inbox? Understanding those factors, otherwise known as email deliverability, is critical to getting the most return on your campaign investments. But the “rules” around which factors land you in the spam folder aren’t always easy to keep up with.

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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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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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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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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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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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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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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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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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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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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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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 […].

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Top 10 MetaVerse Uses Cases and Applications

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction A platform for augmented reality called Metaverse enables users to build interactive experiences that combine the virtual and real worlds. Additionally, it can be considered a virtual version of the concept or idea of cyberspace. Because of the technology used to access […].

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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 […].