Pickl AI

MARCH 26, 2024

Key considerations include optimal K value selection, appropriate distance metrics, and preprocessing techniques. KNN identifies the ‘K’ nearest data points (nearest neighbours) in the training set based on a chosen distance metric when a new data point is to be classified or predicted.

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K-nearest Neighbors Machine Learning Machine Learning Algorithm 52

Data Science Dojo

MARCH 2, 2024

In the process, they initially collect and preprocess satellite images alongside corresponding ground truth data (such as weather conditions) for various land cover categories. Afterward, they assess the overall algorithm performance on the test data, using various metrics like statistical error.

Algorithm 370

Algorithm Machine Learning Machine Learning Artificial Intelligence 370

DataRobot

AUGUST 25, 2021

In a recent blog, we talked about how, at DataRobot , we organize trust in an AI system into three main categories: trust in the performance in your AI/machine learning model , trust in the operations of your AI system, and trust in the ethics of your modelling workflow, both to design the AI system and to integrate it with your business process.

AI 98

AI AI Machine Learning Machine Learning 98

phData

NOVEMBER 20, 2023

It allows users to monitor crucial metrics, discover trends, and make data-driven decisions to improve business. What You Can Accomplish With Dashboard This dashboard comprises three reports and a landing page that gives the user a summary of the key metrics. Seamless navigation between different reports.

Power BI 52

Power BI 52

phData

JULY 24, 2023

Users can quickly view ticket trends, overdue items, tickets by priority type, and top categories, groups, and requests. This dashboard also includes three additional tracker dashboards, where users can navigate from the main dashboard to dive deeper into more detailed metrics for incidents, problems, and requests.

Tableau 52

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phData

JULY 24, 2023

Users can quickly view ticket trends, overdue items, tickets by priority type, and top categories, groups, and requests. This dashboard also includes three additional tracker dashboards, where users can navigate from the main dashboard to dive deeper into more detailed metrics for incidents, problems, and requests.

Tableau 52

Tableau Data Visualization 52

Hacker News

JANUARY 31, 2024

Above: Many small business figured out the hard way why coupon sites generate worse users Incentive programs often don’t perform The people you attract with referral programs, free trials, coupons, and gamification — folks who are “incentivized” as a broad umbrella category — are usually MUCH WORSE than organic ones.

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Data Science Dojo

AUGUST 28, 2023

Development to production workflow LLMs Large Language Models (LLMs) represent a novel category of Natural Language Processing (NLP) models that have significantly surpassed previous benchmarks across a wide spectrum of tasks, including open question-answering, summarization, and the execution of nearly arbitrary instructions.

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Heartbeat

MARCH 13, 2024

train_gen = train_datagen.flow_from_dataframe(train_df, train_dir, x_col='filename', y_col='category', target_size=img_size, class_mode='binary', batch_size=batch_size) validation_datagen = ImageDataGenerator(rescale=1./255) 255, shear_range=0.1, zoom_range=0.2, horizontal_flip=True, width_shift_range=0.1,

Deep Learning 52

Deep Learning Deep Learning ML ML 52

Towards AI

APRIL 14, 2023

In the second part, I will present and explain the four main categories of XML algorithms along with some of their limitations. Therefore, the evaluation metrics for these algorithms need to reflect the ranking aspect rather than just the classification. Thus tail labels have an inflated score in the metric.

K-nearest Neighbors 98

K-nearest Neighbors Algorithm Clustering Support Vector Machines 98

ODSC - Open Data Science

OCTOBER 24, 2023

Both the new evaluation metric and new data synthesizer are now available as open-source libraries, respectively “GenAI Evaluation” and “NoGAN Synthesizer”. Evaluating synthetic data Many metrics are available to evaluate the quality of tabular synthetic data. The context is tabular data generation.

Data Science 98

Data Science Cross Validation Algorithm Machine Learning 98

Smart Data Collective

AUGUST 16, 2021

Pay attention to the following metrics in your analytics dashboard to help you achieve greater success with your store. The more metrics related to consumer behavior you can track and scrutinize, the better you’ll be able to target your website’s wares and processes to your clients and their needs. Audience Information.

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Analytics Analytics Big Data Big Data 131

Dataconomy

DECEMBER 7, 2023

These slides showcase key metrics and milestones, offering a comprehensive overview of the user’s activities and engagement on the platform. Users can explore their digital footprint further through insights like a popular post from their country, Top Categories that encapsulate their diverse interests (e.g.,

Algorithm 103

Algorithm 103

Dataconomy

FEBRUARY 21, 2024

As both Apple and Samsung expand into this category, the possibilities for health monitoring and seamless interaction with our devices are exciting. Spike raises $700K to help digital health firms utilize data from wearables and IoT devices The future of wearables Smart rings offer several advantages over smartwatches.

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phData

OCTOBER 26, 2023

As explained in this topic’s sister blog , effectively splitting data into categories is very important for effective analysis. These custom categories are required to be MECE (Mutually Exclusive and Collectively Exhaustive) in most business scenarios. As you can see, the conditions in these categories have considerable overlap.

Tableau 52

Tableau 52

Mlearning.ai

MAY 10, 2023

Performance Metrics play a crucial role in Data Science. In this article, we will discuss some of the most important performance metrics used in data science. In this article, we will discuss some of the most important performance metrics used in data science. It is a vital tool to evaluate the performance of the model.

Data Science 52

Data Science Machine Learning Machine Learning Data Scientist 52

The MLOps Blog

JANUARY 18, 2023

Dataset | Source: Author The data is complex as it has different categories of features. The way we can measure the consistency of the model is by choosing the right performance metrics and thereby establishing the baseline. Learn more Check what else (besides learning curves and harware metrics) you can track in neptune.ai.

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Smart Data Collective

JANUARY 29, 2021

However, without knowing how to obtain this information or what to do with it, you may find yourself mindlessly browsing arbitrary metrics on Google Analytics such as user data, session data, or session durations. This will present you with an overview of your audience, categorized into three categories.

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Analytics Analytics Algorithm 118

Dataconomy

MARCH 4, 2024

However, it’s important to note that even the top-performing categories achieve engagement from only a small fraction of their audience. Image credit ) This raises a pertinent question: Is social media losing its efficacy as a marketing channel?

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Algorithm AI AI 103

Ocean Protocol

SEPTEMBER 29, 2023

AI / ML offers tools to give a competitive edge in predictive analytics, business intelligence, and performance metrics. In the link above, you will find great detail in data visualization, script explanation, use of neural networks, and several different iterations of predictive analytics for each category of NFL player.

Cross Validation 59

Cross Validation Predictive Analytics Exploratory Data Analysis EDA 59

Precisely

NOVEMBER 3, 2023

Using Place Intelligence Metrics, we begin the first step of this process by analyzing the opening performance of six stores in the Big Box and Dollar Store categories. Place Intelligence Metric (PIM) is a location-based dataset that contains metrics about visitors to a place on a weekly basis.

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DataRobot

NOVEMBER 29, 2021

As with model accuracy, there are many metrics one can use to measure bias. These metrics can be grouped into two categories: bias by representation and bias by error. The image below shows the Per-Class Bias insight with the Proportional Parity bias metric selected.

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AI AI 52

phData

OCTOBER 17, 2023

All human languages and cultures divide the world into categories. These categories are of paramount importance when it comes to analyzing all other metrics. As a Tableau developer, you must have come across a scenario wherein you are required to split your data into custom categories multiple times.

Tableau 52

Tableau 52

Heartbeat

MARCH 6, 2023

Image classification is a computer vision task that allows algorithms to understand an image’s contents and assign one or more categories to the image. In this tutorial, you will use the Fashion MNIST dataset that contains 72K grayscale images of clothes belonging to 10 categories. Add the following code block to your R script.

ML 52

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Snorkel AI

FEBRUARY 2, 2023

Job categories. Here’s a description of each entity: In the pipeline we’re developing, we’ll generate job/category pairs for every job listing, and then use a binary classifier to predict whether the job listing belongs to the job category. We’ll receive two datasets: The job listings in the payroll system.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Snorkel AI

FEBRUARY 2, 2023

Job categories. Here’s a description of each entity: In the pipeline we’re developing, we’ll generate job/category pairs for every job listing, and then use a binary classifier to predict whether the job listing belongs to the job category. We’ll receive two datasets: The job listings in the payroll system.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Towards AI

JULY 17, 2023

Link to datasets Electronics e-commerce platform dataset: eCommerce behavior data from multi-category store | Kaggle Grocery store dataset (Introduced later in this article): Market Basket Analysis Data | Kaggle Key Terms for this article A “transaction” refers to the purchase of one or more items.

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Algorithm AI AI Machine Learning 97

Data Science Dojo

JUNE 22, 2023

Ensure your website’s structure is logically organized with proper categories and subcategories mentioned properly. In SEO analytics, you basically analyze the tracking traffic, bounce rate, and engagement metrics. This will make it easier for visitors and search engines to navigate your site and find the information they seek.

Analytics 195

Analytics Analytics 195

Explosion

NOVEMBER 28, 2023

Throughout 2023, we have introduced support for Large Language Models (LLMs) through spacy-llm, added customizable task routing, expanded our QA features with inter-annotator agreement metrics, infused more interactivity into the UI, and shared several open-source Prodigy plug-ins with the community.

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Python Algorithm Clustering Machine Learning 78

Hacker News

DECEMBER 21, 2023

Kelp is the planet’s fastest-growing plant, soaking up 2,200 to 3,000 metric tons of CO 2 per square kilometer each year—more than tropical rainforests , according to the Climate Foundation. Unless they go into these product categories, it won’t have much climate-mitigation benefits.”

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Computer Science Computer Science 180

Tableau

AUGUST 4, 2021

Sinyangwe developed and launched Police Scorecard , a comprehensive data resource on 13,147 police departments and 2,878 sheriffs departments that provides in-depth metrics on everything from police funding, to use of force, to racial bias in enforcement. The goal was to arrive at the most accurate data for each metric for each city.

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Tableau Data Visualization Data Scientist 100

AWS Machine Learning Blog

OCTOBER 18, 2023

It is already trained on tens of millions of images across many categories. Instead of thousands of images, you can upload a small set of training images (typically a few hundred images or less per category) that are specific to your use case. Evaluate the model and produce performance metrics.

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Mlearning.ai

AUGUST 1, 2023

There are many different types of evaluation metrics we can use to measure artificial intelligence performance to generate synthetic data. For each dimension it exists metrics which allows us to answer to at least one of these questions, but it can defer from a dataset to another. Try it now!

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 52

Heartbeat

FEBRUARY 15, 2023

It is a supervised learning methodology that predicts if a piece of text belongs to one category or the other. First, install Comet’s R package which will be used to log metrics to your Comet install.packages(“cometr”) Next, you will need to install the Keras package for R by running the following command in the console.

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ML ML Deep Learning Deep Learning 52

Google Research AI blog

OCTOBER 25, 2022

Posted by Rodrigo Benenson, Research Scientist, Google Research Open Images is a computer vision dataset covering ~9 million images with labels spanning thousands of object categories. By focusing on point labels, we expanded the number of images annotated and categories covered. We collected a total of 38.6M new point annotations (12.4M

ML 52

ML ML Machine Learning Machine Learning 52

AWS Machine Learning Blog

MARCH 22, 2023

Rekognition Custom Labels builds off of the existing capabilities of Amazon Rekognition, which is already trained on tens of millions of images across many categories. We use the F1 score as our evaluation metric because it provides a balance between precision and recall.

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AWS Machine Learning Machine Learning ML 80

PyImageSearch

JANUARY 9, 2023

We will also discuss the various evaluation metrics to quantify the performance of our face recognition application in the final part of this series. The comparison is based on a similarity metric that we will discuss in detail later in the post.

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Deep Learning Deep Learning Database Algorithm 103