Analytics Vidhya

OCTOBER 19, 2021

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.

Data Platform 400

Data Platform Data Science Python 400

O'Reilly Media

OCTOBER 12, 2021

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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Algorithm Prompt Engineer Prompt Engineering Automation 120

Eugene Yan

OCTOBER 2, 2021

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

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Lexalytics

OCTOBER 6, 2021

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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NLP Text Analytics AI AI 98

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

OCTOBER 3, 2021

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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AI AI 57

Analytics Vidhya

OCTOBER 20, 2021

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 […].

Data Science 400

Data Science Python 400

Eleuther.ai

OCTOBER 25, 2021

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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Eugene Yan

OCTOBER 16, 2021

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

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Dlabs.ai

OCTOBER 25, 2021

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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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

OCTOBER 17, 2021

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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Robotics 57

Applied Data Science

OCTOBER 25, 2021

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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Analytics Vidhya

OCTOBER 7, 2021

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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Data Science Python Machine Learning 398

Salmon Run

OCTOBER 17, 2021

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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OpenAI Deep Learning Python 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

OCTOBER 16, 2021

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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Dlabs.ai

OCTOBER 13, 2021

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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DeepMind

OCTOBER 10, 2021

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.

Robotics 57

Robotics 57

Applied Data Science

OCTOBER 16, 2021

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.

Data Science 52

Data Science Python AI AI 52

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Analytics Vidhya

OCTOBER 2, 2021

This article was published as a part of the Data Science Blogathon Overview In the current scenario, the Data science field is dominated by Python/R but there is another competition added not so long ago, Julia! which we will be exploring in this guide. The famous quote (motto) of Julia is – Looks like Python, runs […]. The post Introduction to Deep Learning in Julia appeared first on Analytics Vidhya.

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Deep Learning Data Science Python 396

NLPhilia

OCTOBER 13, 2021

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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fast.ai

OCTOBER 11, 2021

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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Dlabs.ai

OCTOBER 7, 2021

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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Explainability 52

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

OCTOBER 10, 2021

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.

Robotics 57

Robotics 57

The Stanford AI Lab Blog

OCTOBER 13, 2021

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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Neural Network Machine Learning Computational Linguistics Deep Learning 40

Analytics Vidhya

OCTOBER 23, 2021

This article was published as a part of the Data Science Blogathon This article was published as a part of the Data Science Blogathon Synopsis of Time Series Analysis A Time-Series represents a series of time-based orders. It would be Years, Months, Weeks, Days, Horus, Minutes, and Seconds A time series is an observation […]. The post A Comprehensive Guide to Time Series Analysis appeared first on Analytics Vidhya.

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Data Science Python Machine Learning 391

James Thorn

OCTOBER 29, 2021

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

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Data Analysis

Eleuther.ai

OCTOBER 11, 2021

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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Explosion

OCTOBER 26, 2021

? fastText + Bloom embeddings for compact, full-coverage vectors with spaCy - GitHub - explosion/floret: ?

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DeepMind

OCTOBER 3, 2021

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

AI AI 57