October, 2021

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End-to-End Introduction to Handling Missing Values

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview Data provides us with the power to analyze and forecast the events of the future. With each day, more and more companies are adopting data science techniques like predictive forecasting, clustering, and so on. While it’s very intriguing to keep learning about complex […].

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MLOps and DevOps: Why Data Makes It Different

O'Reilly Media

Much has been written about struggles of deploying machine learning projects to production. As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new

DevOps 140
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RecSys 2021 - Papers and Talks to Chew on

Eugene Yan

Simple baselines, ideas, tech stacks, and packages to try.

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What is Tokenization in NLP?

Lexalytics

Tokenization is an interesting part of text analytics and NLP. A “token” in natural language terms is “ an instance of a sequence of characters in some particular document that are grouped together as a useful semantic unit for processing.” Like the roots and branches of a tree, the whole of human language is a mess of natural outgrowths—split, decaying, vibrant, and blooming.

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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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Predicting gene expression with AI

DeepMind

When the Human Genome Project succeeded in mapping the DNA sequence of the human genome, the international research community were excited by the opportunity to better understand the genetic instructions that influence human health and development. DNA carries the genetic information that determines everything from eye colour to susceptibility to certain diseases and disorders.

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5 Features Of Snowflake That Data Engineers Must Know

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Snowflake is a cloud data platform that comes with a lot of unique features when compared to traditional on-premise RDBMS systems. In this tutorial, you will see the top 5 features that developers should know before implementing a solution on the Snowflake data […]. The post 5 Features Of Snowflake That Data Engineers Must Know appeared first on Analytics Vidhya.

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The Quality of Auto-Generated Code

O'Reilly Media

Kevlin Henney and I were riffing on some ideas about GitHub Copilot , the tool for automatically generating code base on GPT-3’s language model, trained on the body of code that’s in GitHub. This article poses some questions and (perhaps) some answers, without trying to present any conclusions. First, we wondered about code quality. There are lots of ways to solve a given programming problem; but most of us have some ideas about what makes code “good” or “bad.”

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What I Learned from Writing Online - For Fellow Non-Writers

Eugene Yan

Write before you're ready, write for yourself, quantity over quality, and a few other lessons.

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A Preliminary Exploration into Factored Cognition with Language Models

Eleuther.ai

We perform a series of experiments using GPT-3 with decomposition to perform complex toy tasks that it is otherwise unable to solve. The goal of these experiments is to provide some preliminary evidence for the viability of factored cognition in real world models. For our synthetic task, we chose a series of various arithmetic tasks. Aside from the ease of generating examples, another advantage of arithmetic related task settings is GPT-3's inability to perform even simple mathematical operation

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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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Opening up a physics simulator for robotics

DeepMind

When you walk, your feet make contact with the ground. When you write, your fingers make contact with the pen. Physical contacts are what makes interaction with the world possible. Yet, for such a common occurrence, contact is a surprisingly complex phenomenon. Taking place at microscopic scales at the interface of two bodies, contacts can be soft or stiff, bouncy or spongy, slippery or sticky.

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Hackuna Matathon 2021: Reporting Back From The Dlabs.AI Hackathon

Dlabs.ai

September might just go down in DLabs.AI folklore. We ran the Hackuna Matathon 2021: an internal hackathon linked to our team-building meeting. So — if you want to learn: What we did Where we went What we worked on Who won You’ll find the answers right here. This is a lighter read, we hope you enjoy it The hackathon Most of the DLabs.AI team works remotely.

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Complete Guide to build your AI Chatbot with NLP in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview In this Comprehensive Guide, we are going to be covering the following topics and the end goal is to teach you how to make your own personal intelligent AI chatbot: NLP and its uses in speech interpretation. AI and its uses in […]. The post Complete Guide to build your AI Chatbot with NLP in Python appeared first on Analytics Vidhya.

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A Beginner’s Guide to Data Science

Applied Data Science

How I learned to stop worrying and love the field This blog covers all the core themes to starting your career in data science: ? Exploration vs Exploitation ? Getting a theoretical edge ? Building your professional portfolio ? Learning how to tell stories with data ❤️ Getting the pulse of the community The demand for data scientists has been steadily rising in the past decade, with industries like retail, medicine and finance claiming the lion’s share.

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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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Fine-tuning OpenAI CLIP for different domains

Salmon Run

In July this year, a group of us on the TWIML Slack Channel came together and participated in the Flax/JAX Community Week organized by Hugging Face and Google Cloud. Our project was about fine-tuning the CLIP Model from OpenAI with the RSICD (Remote Sensing Image Captioning Dataset), and ended up placing third.

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Statistical problems found when studying Long Covid in kids

fast.ai

Summary : Statistical tests need to be paired with proper data and study design to yield valid results. A recent review paper on Long Covid in children provides a useful example of how researchers can get this wrong. We use causal diagrams to decompose the problem and illustrate where errors were made.

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Stacking our way to more general robots

DeepMind

Picking up a stick and balancing it atop a log or stacking a pebble on a stone may seem like simple — and quite similar — actions for a person. However, most robots struggle with handling more than one such task at a time. Manipulating a stick requires a different set of behaviours than stacking stones, never mind piling various dishes on top of one another or assembling furniture.

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5 Ways Computer Vision Is Transforming Retail Industry

Dlabs.ai

The retail industry is changing quickly. Technology is sweeping through the sector, with computer vision applications in retail offering a proven way to enhance the customer experience and boost sales. That said, the RIS 29th Annual Retail Technology Study: Retail Accelerates shows how just 3% of retailers currently use computer vision, although over 40% plan to implement it within three years.

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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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Learn how to make your own Optical Illusion in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon It was just past the midway mark of 2019 and the Internet casually decided to trick us as it normally does. An optical illusion went viral on Twitter which depicted a gray image that looked colored! Confused? Well, let’s dive deep in then! […]. The post Learn how to make your own Optical Illusion in Python appeared first on Analytics Vidhya.

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How To Calculate The Trappiest Chess Openings Using The Lichess API

Applied Data Science

The leaderboard for the ‘trappiest’ chess openings —  [link] The definitive guide to ranking the best chess traps using stats In this blog post, we will use cold hard stats (and Python) to calculate the best chess traps! ? ? What’s a chess trap? Let’s start with a definition: A trap is a position where a player is likely to play a move that when followed by the optimal response, results in a position where the player is likely to lose.

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OODA Loop

NLPhilia

When you combine Pattern Interruption with High-Stakes Decision-Making, you get this: OODA Loop originally appeared on NLPhilia Blog on 2021-10-13 (Wednesday).

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Medicine is Political

fast.ai

Experts warn that we are not prepared for the surge in disability due to long covid, an illness that afflicts between one-fourth and one-third of people who get covid, including mild cases, for months afterwards. Some early covid cases have been sick for 18 months, with no end in sight. The physiological damage that covid causes can include cognitive dysfunction and deficits , brain activity scans similar to those seen in Alzheimer’s patients , GI immune system damage , cornea damage , immune dy

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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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Stacking our way to more general robots

DeepMind

Picking up a stick and balancing it atop a log or stacking a pebble on a stone may seem like simple — and quite similar — actions for a person. However, most robots struggle with handling more than one such task at a time. Manipulating a stick requires a different set of behaviours than stacking stones, never mind piling various dishes on top of one another or assembling furniture.

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JavaScript Is Weird. And That’s Why We Love It.

Dlabs.ai

According to the 2021 Stack Overflow Developer Survey , JavaScript is the most widely used technology among professionals and amateurs alike. Some 61.51% of developers love the coding language. But that still leaves some 40% of programmers who prefer to stay away. So why is that? Well, there’s a fair degree of weirdness about JS, which could be one explanation.

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An Easy introduction to Flask Framework for beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview What is a Framework FrontEnd vs BackEnd What is Flask Framework Installation of Flask Creating our first Flask app Routing Static Route vs Dynamic Route HTML Injections HTML Escaping Hypertext Transfer Protocol GET and POST Methods What is a Framework? The framework […].

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Selective Classification Can Magnify Disparities Across Groups

The Stanford AI Lab Blog

Selective classification, where models are allowed to “abstain” when they are uncertain about a prediction, is a useful approach for deploying models in settings where errors are costly. For example, in medicine, model errors can have life-or-death ramifications, but abstentions can be easily handled by backing off to a doctor, who then makes a diagnosis.

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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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The Three Generations of Blockchain

James Thorn

1st: The Bitcoin Blockchain, 2nd: Ethereum, 3rd… Continue reading on Medium »

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Multiple Choice Normalization in LM Evaluation

Eleuther.ai

There are multiple ways of evaluating multiple choice tasks on autoregressive LMs like GPT-3/Neo/J. This post lays out the current prevalent normalization methods.

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Predicting gene expression with AI

DeepMind

When the Human Genome Project succeeded in mapping the DNA sequence of the human genome, the international research community were excited by the opportunity to better understand the genetic instructions that influence human health and development. DNA carries the genetic information that determines everything from eye colour to susceptibility to certain diseases and disorders.

AI 57