Analytics Vidhya

SEPTEMBER 21, 2022

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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Big Data Data Science 400

DataRobot Blog

SEPTEMBER 1, 2022

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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Data Drift AI AI Data Science 145

Eugene Yan

SEPTEMBER 22, 2022

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

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OpenAI

SEPTEMBER 28, 2022

New users can start creating straight away. Lessons learned from deployment and improvements to our safety systems make wider availability possible. Sign up Starting today, we are removing the waitlist for the DALL·E beta so users can sign up and start using it immediately. More than 1.5M users are now actively creating over 2M images a day with DALL·E—from artists and creative directors to authors and architects—with over 100K users sharing their creations and feedback i

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OpenAI 96

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.

DeepMind

SEPTEMBER 21, 2022

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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Analytics Vidhya

SEPTEMBER 11, 2022

This article was published as a part of the Data Science Blogathon. Introduction Blockchain technology is a decentralized, distributed ledger that keeps a record of ownership of digital assets. Any data stored on the blockchain cannot be modified, making the technology a legitimate disruptor for payments, cybersecurity, and healthcare industries. Blockchain is a system of registering […].

Data Science 399

Data Science 399

Defined.ai blog

SEPTEMBER 20, 2022

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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Metadata AI AI Artificial Intelligence 52

Eugene Yan

SEPTEMBER 3, 2022

Or why I should write fewer integration tests.

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Machine Learning 130

OpenAI

SEPTEMBER 28, 2022

New users can start creating straight away. Lessons learned from deployment and improvements to our safety systems make wider availability possible.

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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?

Generative AI

DeepMind

SEPTEMBER 27, 2022

Right now, medicine is too dependent on radiographic imaging techniques for diagnosing osteoporosis. It can be a debilitating disease that develops slowly over several years, weakening bones and rendering them dangerously fragile. Such diagnostic radiographic tools have their own limitations, detecting osteoporosis only once it has already developed.

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DataRobot Blog

SEPTEMBER 20, 2022

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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AI AI 52

Analytics Vidhya

SEPTEMBER 27, 2022

This article was published as a part of the Data Science Blogathon. Introduction Over the past few years, Snowflake has grown from a virtual unknown to a retailer with thousands of customers. Businesses have adopted Snowflake as migration from on-premise enterprise data warehouses (such as Teradata) or a more flexibly scalable and easier-to-manage alternative to […].

Data Science 397

Data Science 397

Defined.ai blog

SEPTEMBER 20, 2022

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

Metadata 52

Metadata AI AI Artificial Intelligence 52

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.

LLM

fast.ai

SEPTEMBER 15, 2022

Three years ago we pioneered Deep Learning from the Foundations , an in depth course that started right from the foundations—implementing and GPU-optimising matrix multiplications and initialisations—and covered from scratch implementations of all the key applications of the fastai library.

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Deep Learning 52

Dlabs.ai

SEPTEMBER 2, 2022

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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DeepMind

SEPTEMBER 25, 2022

We’re partnering with six education charities and social enterprises in the United Kingdom (UK) to co-create a bespoke education programme to help tackle the gaps in STEM education and boost existing programmes.

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AI AI 57

OpenAI

SEPTEMBER 21, 2022

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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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.

Analytics Vidhya

SEPTEMBER 30, 2022

This article was published as a part of the Data Science Blogathon. Introduction Evaluation metrics are used to measure the quality of the model. Selecting an appropriate evaluation metric is important because it can impact your selection of a model or decide whether to put your model into production. The mportance of cross-validation: Are evaluation metrics […].

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Data Science Machine Learning 397

Explosion

SEPTEMBER 27, 2022

new coreference components (#17) This release includes an experimental English coref pipeline. You can install the pipeline by downloading it from the assets in this release page, or install it di.

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fast.ai

SEPTEMBER 22, 2022

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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Deep Learning 52

NLPhilia

SEPTEMBER 19, 2022

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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Speaker: Jay Black, Senior Account Executive

Let's set the record straight: in-store retail isn't dead - it's evolving! Faced with the digital age and the demands of omnichannel shopping, some retailers are thriving while others are struggling to adapt. Join Jay Black in this exclusive session as he explores the strategies that set successful stores apart, including: Crafting unique and unforgettable in-store experiences 🛍️ Mastering the art of retail demands 🛒 Navigating inventory challenges in today's climate 📦 an

DeepMind

SEPTEMBER 26, 2022

Being a structural biologist in the age of AlphaFold is like the early days of gold mining. Before this technology, everyone was doing painstaking work to find individual gold nuggets, cleaning them and looking at them one by one. Then, all of a sudden, a gold mine appeared. We couldn’t believe our luck.

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Bitext

SEPTEMBER 13, 2022

Arabic is a complex language for NLP tasks, even for simple ones like lemmatization. There are several reasons for this: Arabic creates words based on roots: for example, the word کتاب (kitab, “book”) is derived from ك ت ب (k t b). Many related words are derived from the same root. Arabic can create words, similar to “compounds” but more limited, combining certain POSes, such as prepositions, conjunctions and pronouns, with nouns, adjectives and verbs.

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Analytics Vidhya

SEPTEMBER 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction I’ve always wondered how big companies like Google process their information or how companies like Netflix can perform searches in concise times. That’s why I want to tell you about my experience with two powerful tools they use: Apache Hive and Elasticsearch. […].

Data Science 398

Data Science Big Data 398

Cold Takes

SEPTEMBER 5, 2022

Back in January, I posted a call for "beta readers" : people who read early drafts of my posts and give honest feedback. The beta readers I picked up that way are one of my favorite things about having started Cold Takes. Basically, one of my goals with Cold Takes has been to explain my weirdest views clearly, but it's hard to write clearly without detailed feedback on where I'm making sense and where I'm not.

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Explainability AI AI 40

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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.

Data Analysis

BAIR

SEPTEMBER 19, 2022

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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DataRobot Blog

SEPTEMBER 30, 2022

How do you track the integrity of a machine learning model in production? Model Observability can help. By tracking service, drift, prediction data, training data, and custom metrics, you can keep your models and predictions relevant in a fast-changing world. Tracking integrity is important: more than 84% of data scientists do not trust the model once it is in production.

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DeepMind

SEPTEMBER 25, 2022

We’re partnering with six education charities and social enterprises in the United Kingdom (UK) to co-create a bespoke education programme to help tackle the gaps in STEM education and boost existing programmes.

AI 57

AI AI 57