Sat.Dec 04, 2021 - Fri.Dec 10, 2021

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Understanding hypothesis testing through an end to end case study

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. ” The only way to test the hypothesis is to look for all the information that disagrees with it – Karl Popper“ Hypothesis Testing comes under a broader subject of Inferential Statistics where we use data samples to draw inferences on the population […]. The post Understanding hypothesis testing through an end to end case study appeared first on Analytics Vidhya.

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Language modelling at scale: Gopher, ethical considerations, and retrieval

DeepMind

Language, and its role in demonstrating and facilitating comprehension - or intelligence - is a fundamental part of being human. It gives people the ability to communicate thoughts and concepts, express ideas, create memories, and build mutual understanding. These are foundational parts of social intelligence. It’s why our teams at DeepMind study aspects of language processing and communication, both in artificial agents and in humans.

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10 Great Books If You Want To Learn About Natural Language Processing

Dlabs.ai

Natural language processing (NLP) is a core part of artificial intelligence. There’s plenty of literature that covers the topic. But how can you find the best books on NLP? A simple solution is to ask the experts. Which is why we’ve prepared our top-ten list of must-read books (and eBooks!) on NLP. We’re confident each one will help you build or broaden your knowledge and, ultimately, develop your skills in this field.

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Multi-domain Multilingual Question Answering

Sebastian Ruder

This post expands on the EMNLP 2021 tutorial on Multi-domain Multilingual Question Answering. The tutorial was organised by Avi Sil and me. In this post, I highlight key insights and takeaways of the tutorial. The slides are available online. You can find the table of contents below: Introduction Open-Retrieval QA vs Reading Comprehension What is a Domain?

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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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Top 10 Articles Published in 2021 on Analytics Vidhya

Analytics Vidhya

Introduction Our long-time followers know how much writing is at the core of this organization. After all, writing data science articles is from where it all started. And with each passing year, we have achieved nothing short of miracles with this intention to teach people with our words. At the end of 2021, we are […]. The post Top 10 Articles Published in 2021 on Analytics Vidhya appeared first on Analytics Vidhya.

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Stanford AI Lab Papers and Talks at NeurIPS 2021

The Stanford AI Lab Blog

The thirty-fifth Conference on Neural Information Processing Systems (NeurIPS) 2021 is being hosted virtually from Dec 6th - 14th. We’re excited to share all the work from SAIL that’s being presented at the main conference , at the Datasets and Benchmarks track and the various workshops , and you’ll find links to papers, videos and blogs below. Some of the members in our SAIL community also serve as co-organizers of several exciting workshops that will take place on Dec 13-14, so we hope you wil

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Stress Detection using AutoML: FEDOT Framework

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Background In the current times, stress has become one of the prominent portions of our lives. Detecting stress is one of the key elements towards improving a person’s health. In this article, we will study how stress detection can be done using AutoML by […]. The post Stress Detection using AutoML: FEDOT Framework appeared first on Analytics Vidhya.

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Introduction to TIBCO Spotfire for Interactive Data Visualization and Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction This article will introduce you to the Spotfire Business Intelligence tool for creating interactive visualization, performing data analysis, and data science. Spotfire a major player in the BI space is a product from TIBCO. The latest version is Spotfire 11. Spotfire Beginner-friendly and […].

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Pre-trained Stacked Model to Detect Pneumonia

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Let’s learn about the pre-trained stacked model and detect if the person has Pneumonia or not. Introduction Computer Vision is taking over the world, tasks that were previously handled by humans themselves are now being done via computer in many fields. One of the […]. The post Pre-trained Stacked Model to Detect Pneumonia appeared first on Analytics Vidhya.

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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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Top Data Science Guest Authors of 2021

Analytics Vidhya

Introduction Analytics Vidhya has been at the helm when it comes to publishing high-quality content since the beginning of its inception. From the latest developments to guiding people through the thorns of career, Analytics Vidhya has it all in its blog archives. And this would not have been possible without leveraging the power of the […]. The post Top Data Science Guest Authors of 2021 appeared first on Analytics Vidhya.

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What does numpy.random.seed() do?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction What is numpy.random.seed? Are you confused about what number to feed in the seed? For what situation can I use this function? In case you have any of these or all questions in your mind. You have come to the right place. This article will answer […]. The post What does numpy.random.seed() do?

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Stock price using LSTM and its implementation

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Long short term memory (LSTM) is a model that increases the memory of recurrent neural networks. Recurrent neural networks hold short term memory in that they allow earlier determining information to be employed in the current neural networks. For immediate tasks, the earlier […].

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Implementing Computer Vision – Face Detection

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview Computational Vision is the part of Artificial Intelligence, which aims to design intelligent algorithms that have the ability to see as if it were a human vision. In this article, we’ll cover three of the main scopes. Face Detection Object Detection Facial Recognition […].

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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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How to maintain your GitHub Profile?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Objective Hope you all know about GitHub profile? In this blog, you will learn about different GitHub activities. And, how you can manage it? Prerequisites Github Account and basic GIT knowledge A blog profile (for hands-on, not compulsory as it can be replicated […]. The post How to maintain your GitHub Profile?

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Simulating matter on the quantum scale with AI

DeepMind

Solving some of the major challenges of the 21st Century, such as producing clean electricity or developing high temperature superconductors, will require us to design new materials with specific properties. To do this on a computer requires the simulation of electrons, the subatomic particles that govern how atoms bond to form molecules and are also responsible for the flow of electricity in solids.

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Creating Interactive Agents with Imitation Learning

DeepMind

We show that imitation learning of human-human interactions in a simulated world, in conjunction with self-supervised learning, is sufficient to produce a multimodal interactive agent, which we call MIA, that successfully interacts with non-adversarial humans 75% of the time. We further identify architectural and algorithmic techniques that improve performance, such as hierarchical action selection.

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Improving language models by retrieving from trillions of tokens

DeepMind

We explore an alternate path for improving language models: we augment transformers with retrieval over a database of text passages including web pages, books, news and code. We call our method RETRO, for “Retrieval Enhanced TRansfOrmers”.

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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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Language modelling at scale: Gopher, ethical considerations, and retrieval

DeepMind

Language, and its role in demonstrating and facilitating comprehension - or intelligence - is a fundamental part of being human. It gives people the ability to communicate thoughts and concepts, express ideas, create memories, and build mutual understanding. These are foundational parts of social intelligence. It’s why our teams at DeepMind study aspects of language processing and communication, both in artificial agents and in humans.

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Improving language models by retrieving from trillions of tokens

DeepMind

We explore an alternate path for improving language models: we augment transformers with retrieval over a database of text passages including web pages, books, news and code. We call our method RETRO, for “Retrieval Enhanced TRansfOrmers”.

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Creating Interactive Agents with Imitation Learning

DeepMind

We show that imitation learning of human-human interactions in a simulated world, in conjunction with self-supervised learning, is sufficient to produce a multimodal interactive agent, which we call MIA, that successfully interacts with non-adversarial humans 75% of the time. We further identify architectural and algorithmic techniques that improve performance, such as hierarchical action selection.