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

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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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Targeting early-onset Parkinson’s with AI

DeepMind

It was a source of hard-earned satisfaction after what had often felt like an uphill battle. David Komander and his colleagues had finally published the long-sought structure of PINK1. Mutations in the gene that encodes this protein cause early-onset Parkinson’s, a neurodegenerative disease with a wide range of progressive symptoms – particularly body tremors and difficulty in moving.

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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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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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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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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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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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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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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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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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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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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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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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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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SQL Query: Coding Question Asked by Microsoft and Facebook

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction SQL proficiency is crucial for the field of data science. We’ll talk about two SQL queries that product businesses use to screen applicants for jobs as data scientists in this article. The StrataScratch website generates the SQL questions. StataScratch is an excellent tool […].

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Building a Lakehouse – Try Delta Lake!

Analytics Vidhya

Introduction Enterprises have been building data platforms for the last few decades, and data architectures have been evolving. In this article, I’ll introduce you to “Lakehouse,” one of the latest approaches for building data platforms, and its underlying technology, “Delta Lake,” that powers such Lakehouses. Let’s first look at how things have changed and how […].

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A Comprehensive Guide On Apache Sqoop

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Hi Everyone, In this guide, we will discuss Apache Sqoop. We will discuss the Sqoop import and export processes with different modes and also cover Sqoop-hive integration. In this guide, I will go over Apache Sqoop in depth so that whenever you […]. The post A Comprehensive Guide On Apache Sqoop appeared first on Analytics Vidhya.