Sat.Sep 17, 2022 - Fri.Sep 23, 2022

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Underlying Engineering Behind Alexa’s Contextual ASR

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Conventionally, an automatic speech recognition (ASR) system leverages a single statistical language model to rectify ambiguities, regardless of context. However, we can improve the system’s accuracy by leveraging contextual information. Any type of contextual information, like device context, conversational context, and metadata, […].

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Keeping Learning-Based Control Safe by Regulating Distributional Shift

BAIR

To regulate the distribution shift experience by learning-based controllers, we seek a mechanism for constraining the agent to regions of high data density throughout its trajectory (left). Here, we present an approach which achieves this goal by combining features of density models (middle) and Lyapunov functions (right). In order to make use of machine learning and reinforcement learning in controlling real world systems, we must design algorithms which not only achieve good performance, but a

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RecSys 2022 Keynote - Is the Juice Worth the Squeeze?

Eugene Yan

Invited keynote at the Workshop for Online Recommender Systems and User Modeling (ORSUM)

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Building safer dialogue agents

DeepMind

In our latest paper, we introduce Sparrow – a dialogue agent that’s useful and reduces the risk of unsafe and inappropriate answers. Our agent is designed to talk with a user, answer questions, and search the internet using Google when it’s helpful to look up evidence to inform its responses.

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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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How is Big Data Helping in the Development of Healthcare?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction “Big data in healthcare” refers to much health data collected from many sources, including electronic health records (EHRs), medical imaging, genomic sequencing, wearables, payer records, medical devices, and pharmaceutical research. Its characteristics distinguish it from traditional electronic medical and human health data […].

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A Note from the CEO

DataRobot Blog

Today, I’m humbled and excited to share that I’m officially taking on the role of Chief Executive Officer at DataRobot. We recently celebrated the ten-year anniversary of DataRobot. And for a decade, we have set a pace of unmatched innovation in the market. From pioneering AutoML , to launching the first Time Series functionality and the most comprehensive model monitoring capabilities in the industry, to introducing the AI Cloud platform just last year, we have been singularly focused on innova

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Building safer dialogue agents

DeepMind

In our latest paper, we introduce Sparrow – a dialogue agent that’s useful and reduces the risk of unsafe and inappropriate answers. Our agent is designed to talk with a user, answer questions, and search the internet using Google when it’s helpful to look up evidence to inform its responses.

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Book your Seats now for Upcoming DataHour Sessions

Analytics Vidhya

Introduction Data science is the study of data to gain important business insights. It combines concepts and methods from the domains of mathematics, statistics, AI, and computer engineering. We at Analytics Vidhya believe in Knowledge sharing, and that’s why we Organize DataHour Sessions every day so that you can Brush up on your Data Science […].

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Seven Reasons why Human Evaluation of your Text-to-Speech Projects is Important

Defined.ai blog

To claim that Text-to-Speech (TTS) technology is transforming the way users communicate with mobile-enabled handheld devices and smart assistants is more of an understatement than an assertion these days. TTS technology is on the rise, finding increasing adoption across a multitude of applications such as reading prescription labels out loud, allowing static content—such as e-books, website content, PDFs, and other training documents and manuals—to come to life, providing personalized messages t

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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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Deep Learning Foundations Signup, Open Source Scholarships, & More

fast.ai

Signups might not be available any more. If you are able to do a late signup, note that you may miss doing the first lesson live (although you can watch the recording.

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Building safer dialogue agents

DeepMind

In our latest paper, we introduce Sparrow – a dialogue agent that’s useful and reduces the risk of unsafe and inappropriate answers. Our agent is designed to talk with a user, answer questions, and search the internet using Google when it’s helpful to look up evidence to inform its responses.

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Image Classification Using Resnet-50 Deep Learning Model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will train a classification model which uses the feature extraction + classification principle, i.e., firstly, we extract relevant features from an image and then use these feature vectors in machine learning classifiers to perform the final classification.

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Introducing Whisper

OpenAI

We’ve trained and are open-sourcing a neural net called Whisper that approaches human level robustness and accuracy on English speech 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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Remember What The “P” Stands For

NLPhilia

Debugging is twice as hard as writing the code in the first place. Therefore, if you write the code as cleverly as possible, you are, by definition, not smart enough to debug it. — Brian W. Kernighan , computer programming pioneer Remember What The “P” Stands For originally appeared on NLPhilia Blog on 2022-09-19 (Monday).

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Solving the mystery of how an ancient bird went extinct

DeepMind

Could burn marks on ancient eggshells explain the disappearance of the giant flightless bird Genyornis newtoni? This ostrich-sized “thunderbird”, dubbed “the demon-duck of doom” for its huge head, disappeared from Australia’s fossil record about 50,000 years ago. The discovery of burned eggshells led scientists, including a team of scientists led by Gifford Miller at the University of Colorado Boulder, to propose that their extinction was caused by early humans eating their eggs.

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Object Detection Using YOLO And Mobilenet SSD

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Artificial neurons are utilized in deep neural networks for object detection. These artificial neurons are similar to humans composed of neurons. Thus, object detection refers to the detection and localization of objects in an image that belongs to a predefined set of […].

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Join DataRobot at Big Data & AI Paris 2022

DataRobot Blog

Leading French organizations are recognizing the power of AI to accelerate the impact of data science. Since 2016, DataRobot has aligned with customers in finance, retail, healthcare, insurance and more industries in France with great success, with the first customers being leaders in the insurance space. . Next week, we’re excited to partner with industry leaders at Big Data & AI Paris, alongside a launch of a dedicated French language microsite.

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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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Interview Questions on NLP Fundamentals

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction As everyone knows, natural language processing is one of the most competitive and hot fields in today’s global tech sector. Candidates with good Natural Language Processing skills are sought after by all the large corporations and growing start-ups. Natural language processing is […].

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AWS Braket: The Quantum Computing Tool

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction AWS named the service after a standard quantum notation called Braket, created in the late 1930s by Paul Dirac, a famous theoretical physicist. The Braket is a fully managed AWS service that provides a primarily technology-agnostic environment. Customers can design, develop, test, and […].

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Exploratory Data Analysis of Zomato Bangalore Restaurants

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction With the rise of meal delivery services, everyone can now enjoy their favorite restaurant food from the comfort of their own home. Giant food aggregators and food shipping companies like Zomato have made it feasible. Zomato is one of India’s most extensively […].

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Principal Component Analysis Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Principal Component Analysis, or PCA, is a dimensionality-reduction method frequently used to reduce the dimensionality of big data sets by reducing a large collection of variables into a smaller set that retains the majority of the information in the large set. Reduced […].

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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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An Enterprise Data Strategy for Building the Trustworthy AI Practice

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Photo by Christina Morillo from Pexels Introduction The current decade is a time of unprecedented growth in data-driven technologies with unlimited opportunities. Since the last decade, as data science and AI have started appearing in the mainstream production environment, the collection and maintenance of massive […].

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Make Model Training and Testing Easier with MultiTrain

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction For data scientists and machine learning engineers, developing and testing machine learning models may take a lot of time. For instance, you would need to write a few lines of code, wait for each model to run, and then go on to […]. The post Make Model Training and Testing Easier with MultiTrain appeared first on Analytics Vidhya.

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Interacting with Remote Databases – PostgreSQL and DBAPIs

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction When creating data pipelines, Software Engineers and Data Engineers frequently work with databases using Database Management Systems like PostgreSQL. This article explores the fundamentals of interacting with a database and using Database APIs (DBAPI) to connect with a database from another language or […].

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A Beginner’s Guide to Deep Learning Algorithms

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Deep Learning Algorithms The goal of deep learning is to create models that have abstract features. This is accomplished by building models composed of many layers in which higher layers interpret the input while lower layers abstract the details. As we train […].

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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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Image Prediction Using a Pre-trained Model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Researchers from all over the world compete to create the most precise and effective picture recognition systems. Therefore, it often makes sense to employ an existing neural network design as a starting point for your own projects rather than having them bend […].

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Apache Sqoop: Features, Architecture and Operations

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Apache SQOOP is a tool designed to aid in the large-scale export and import of data into HDFS from structured data repositories. Relational databases, enterprise data warehouses, and NoSQL systems are all examples of data storage. It is a data migration tool […]. The post Apache Sqoop: Features, Architecture and Operations appeared first on Analytics Vidhya.

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How do AWS S3 Buckets and Security Work?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction AWS provides cloud services such as storage, analytics, blockchain, enterprise machine learning, applications, and security; within this cloud environment is Amazon S3, a cloud storage solution that brings scalability, data availability, security, and performance to companies of any size through so-called “buckets,” or […].