How to use deep learning for automated color tagging of products? (2022)
Hacker News
APRIL 9, 2024
How to automate your system using deep learning computer vision models
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Hacker News
APRIL 9, 2024
How to automate your system using deep learning computer vision models
KDnuggets
MAY 24, 2022
An ML system requiring thousands of tagged samples is fundamentally different from the mind of a child, which can learn from just a few experiences of untagged data.
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The Key to Sustainable Energy Optimization: A Data-Driven Approach for Manufacturing
From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success
Understanding User Needs and Satisfying Them
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know
Analytics Vidhya
JULY 28, 2020
Overview Learn about Part-of-Speech (POS) Tagging, Understand Dependency Parsing and Constituency Parsing Introduction Knowledge of languages is the doorway to wisdom. . The post How Part-of-Speech Tag, Dependency and Constituency Parsing Aid In Understanding Text Data? appeared first on Analytics Vidhya.
The Key to Sustainable Energy Optimization: A Data-Driven Approach for Manufacturing
From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success
Understanding User Needs and Satisfying Them
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know
Data Science Dojo
FEBRUARY 22, 2023
In this step-by-step guide, learn how to deploy a web app for Gradio on Azure with Docker. With Gradio, users can create a web application that allows their users to interact with their machine learning model, API, or data science workflow. docker tag demo-gradio-app gradioappdemos.azurecr.io/demo-gradio-app
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Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.
Analytics Vidhya
NOVEMBER 15, 2021
There is no denying the power and evolution we have witnessed in the field of Natural Language Processing and what further advancements we will have the fortune to witness, learn, and implement. The post NLP – Tags, Frequencies, Unique Terms, n-grams appeared first on Analytics Vidhya. NLP is used in a wide […].
KDnuggets
NOVEMBER 8, 2021
Learn about the strengths of part-of-speech tagging, and about how a strong POS tagger can contribute to natural language understanding.
FlowingData
MAY 9, 2024
And, for that matter, why does machine learning work? I’m going to concentrate here on biological evolution, though much of what I’ll discuss is also relevant to machine learning—but I’ll plan to explore that in more detail elsewhere. Tags: evolution , machine learning , modeling , Stephen Wolfram
Analytics Vidhya
NOVEMBER 26, 2021
Overview According to the internet, OpenNLP is a machine learning-based toolbox for processing natural language text. It has many features, including tokenization, lemmatization, and part-of-speech (PoS) tagging. This article was published as a part of the Data Science Blogathon. Introduction to […].
FlowingData
JANUARY 19, 2024
Financial Times highlights how researchers are using AI to try to learn what animal sounds mean and to communicate back. Tags: AI , animals , Financial Times , sound Turn on the sound for maximum effect.
FlowingData
JANUARY 30, 2024
As a learning experiment, Zhaoxu Sui mapped major railways worldwide. Tags: transit , transportation , Zhaoxu Sui Usually when you see a railway map, it’s from a local perspective, because it’s meant to show how you get from point A to point B. You can grab the full PDF version here.
FlowingData
MARCH 21, 2024
Jer Thorp has combined birding and data visualization into a unique course called Binoculars to Binomials : I dreamt up Binoculars to Binomials as a hybrid site of learning. One of the best ways to learn how to visualize data is to apply it to a specific field. Tags: birds , Jer Thorp , learning Sounds good to me.
FlowingData
MARCH 20, 2024
He gave the example of a football: An AI system may learn to associate footballs with a green field, and so produce images of footballs on grass. Tags: AI , bias , midjourney , Rest of World
FlowingData
APRIL 1, 2024
For Knowing Machines , an ongoing research project that examines the innards of machine learning systems, Christo Buschek and Jer Thorp turn attention to LAION-5B. Tags: bias , Knowing Machines , LAION-5B , machine learning If articles covering similar themes have confused you or were too handwavy, this one might clear that up.
FlowingData
DECEMBER 6, 2023
Tags: Datawrapper , getting started , learning , Lisa Charlotte Muth For Datawrapper, Lisa Chartlotte Muth outlines how to take your first steps. The main theme is to make more charts. See also: getting started with visualization after getting started with visualization.
FlowingData
FEBRUARY 1, 2024
You’ll learn how to use a variety of tools and work through the full visualization process, from data to visual analysis to publication-ready graphics. Tags: book I wrote a book! It’s the second edition of Visualize This. It focuses on the how of visualization with practical examples that you can apply to your own data.
FlowingData
JANUARY 5, 2024
Simon Willison outlined what we learned over the year : The most surprising thing we’ve learned about LLMs this year is that they’re actually quite easy to build. Tags: AI , Large Language Model , Simon Willison There were many AI-based things in 2023.
Data Science Dojo
JANUARY 19, 2024
Neural networks, a cornerstone of modern artificial intelligence, mimic the human brain’s ability to learn from and interpret data. It’s a collection of algorithms designed to recognize patterns, much like how our brain identifies patterns and learns from experiences. How do neural networks learn?
Data Science Dojo
JUNE 22, 2023
So if you want to become a pro in SEO, you should consider joining a learning program. This blog will walk you through some of the SEO best practices you should learn to make the website SEO optimized. Moreover, using header and image alt tags makes your site more accessible and user-friendly.
Snorkel AI
OCTOBER 23, 2023
Wayfair relies on machine learning (ML) and product tagging to ensure customer searches result in relevant products. Tagging information like color, style, and pattern can make all the difference in a customer finding the right product at the right time. blue outdoor pillows”), they rely on product tags (e.g.
FlowingData
JUNE 23, 2023
I should learn to crochet. Tags: Andrew Hahn , crochet , lake , physical Andrew Hahn crocheted a map of Lake Mendota in Wisconsin. Each stitch represents 300 square meters and each layer represents 10 meters of depth.
Snorkel AI
OCTOBER 23, 2023
Wayfair relies on machine learning (ML) and product tagging to ensure customer searches result in relevant products. Tagging information like color, style, and pattern can make all the difference in a customer finding the right product at the right time. blue outdoor pillows”), they rely on product tags (e.g.
FlowingData
OCTOBER 14, 2022
MLU-Explain continues with their visual explainers for machine learning and statistical concepts. Tags: MLU-Explain , regression. Most recently, Jared Wilber gets into linear regression. Towards the bottom of the explainer, there’s an interactive chart that lets you place dots on the plot and the fitted line updates as you go.
FlowingData
OCTOBER 13, 2022
It covers concepts from probability, statistical inference, linear regression, and machine learning. Tags: book , data science , R , Rafael Irizarry. This book introduces concepts and skills that can help you tackle real-world data analysis challenges.
FlowingData
AUGUST 25, 2021
For their 5 Levels series, Wired brought in Hilary Mason to explain machine learning at five levels of difficulty. Tags: Hilary Mason , machine learning , Wired. Mason’s explanations are super helpful at every level.
FlowingData
APRIL 12, 2024
It turns out that you can read and learn a lot about visualization — the chart types, the best visual encodings, design considerations, and purpose — without actually knowing how to follow through with the advice. Tags: writing How do you get from rough sketch to finished graphic? I hope it helps you have fun with data.
FlowingData
JUNE 28, 2022
An Introduction to Statistical Learning , by Gareth James, Daniela Witten, Trevor Hastie, and Rob Tibshirani: As the scale and scope of data collection continue to increase across virtually all fields, statistical learning has become a critical toolkit for anyone who wishes to understand data. Each chapter includes an R lab.
FlowingData
SEPTEMBER 28, 2023
Tags: David Rumsey , search , text Through this process of automatic annotation, this approach turns the text on maps into structured data (text on maps data): the enormous amount of data that has been collected from these maps is now searchable.
Dataversity
OCTOBER 14, 2022
Image labeling enables you to tag and identify specific details in an image. In computer vision, image labeling involves adding specific tags to raw data, including videos and images. Each tag represents a certain object class associated with this data.
FlowingData
SEPTEMBER 21, 2023
This is where the crows learn the unique pairings between the image on the screen and the likelihood of obtaining a reward.” The crows quickly learned to associate each of the images with a different reward probability. Crows were tasked with learning rather abstract quantities (i.e.,
FlowingData
JULY 22, 2022
.” Ian Henry explains them much better with visual demos aplenty : So those are like… some good reasons to learn about Delaunay triangulations. But I did not learn about Delaunay triangulations for a good reason. I learned about Delaunay triangulations for the dumbest reason you can possibly imagine.
FlowingData
JULY 14, 2021
Notter used machine learning to align the face pictures, and then each frame shows a 60-day average, which focuses on an aging face instead of everything else in the background. Tags: average , face , machine learning , Michael Notter , Noah Kalina.
FlowingData
JULY 11, 2023
An Introduction to Statistical Learning, with Applications in R by Gareth James, Daniela Witten, Trevor Hastie, and Rob Tibshirani was released in 2021. Tags: book , learning , Python They, along with Jonathan Taylor, just released an alternate version with applications in Python. So if Python is your thing, have at it.
FlowingData
MAY 5, 2023
Aatish Bhatia, for NYT’s The Upshot, walks you through how such a model “learns” to write based on a relatively small body of text. Tags: AI , language , model , Upshot There’s a little bit of Choose Your Own Adventure mixed in, so you can select the type of text.
Data Science Dojo
SEPTEMBER 8, 2023
We’ll dive into the core concepts of AI, with a special focus on Machine Learning and Deep Learning, highlighting their essential distinctions. However, with the introduction of Deep Learning in 2018, predictive analytics in engineering underwent a transformative revolution. Goals To predict future events and trends.
FlowingData
FEBRUARY 16, 2023
As part of the Knowing Machines research project, A Critical Field Guide for Working with Machine Learning Datasets , by Sarah Ciston, offers advice for working through the life cycle of complex and large datasets : Machine learning datasets are powerful but unwieldy. Plus points for framing the guide in a spreadsheet layout.
FlowingData
SEPTEMBER 27, 2022
To teach, learn, and measure the process of analysis more concretely, Lucy D’Agostino McGowan, Roger D. Tags: analysis , principle. Peng, and Stephanie C. Briefly, the elements of an analysis are the individual basic components of the analysis that, when assembled together by the analyst, make up the entire analysis.
FlowingData
JUNE 8, 2022
Also something new I learned: the Department of Transportation has a transportation noise map that shows modeled noise levels nationally. Tags: Karim Douïeb , noise , pollution. You get a good idea of what noise pollution is like geographically. All it needs now is a machine to blow varying levels of smog in your face.
AWS Machine Learning Blog
APRIL 24, 2024
In this post, we share how we analyzed the feedback data and identified limitations of accuracy and hallucinations RAG provided, and used the human evaluation score to train the model through reinforcement learning. To increase training samples for better learning, we also used another LLM to generate feedback scores.
Snorkel AI
AUGUST 22, 2023
We use machine learning algorithms to analyze and understand the descriptive information (e.g. What are product tags? We use product tags to organize and store descriptive information about our products. These tags capture specific attributes of each product, such as its color, design, and pattern, in a structured manner.
Snorkel AI
AUGUST 22, 2023
We use machine learning algorithms to analyze and understand the descriptive information (e.g. What are product tags? We use product tags to organize and store descriptive information about our products. These tags capture specific attributes of each product, such as its color, design, and pattern, in a structured manner.
FlowingData
AUGUST 23, 2023
From Microsoft : Excel users now have access to powerful analytics via Python for visualizations, cleaning data, machine learning, predictive analytics, and more. Tags: Excel , Python Excel is getting a bump in capabilities with Python integration. Sounds fun for both Excel users and Python developers.
Towards AI
DECEMBER 28, 2023
Before starting, consider taking a look at my Medium profile where I cover topics on Data Science, Machine Learning, and Python! In this article, I’ll introduce you to 10+ essential open-source Python packages for Natural Language Processing that you can’t miss. stars on GitHub. ."""
FlowingData
JUNE 22, 2023
Nate Baldwin provides an interactive guide on the perception of color and ties it to how it matters in the design of user interfaces : This website is for designers to learn about color, contrast, and how it can affect experiences of a user interface. Tags: color , contrast , Nate Baldwin
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