Analytics Vidhya

OCTOBER 12, 2020

This article was published as a part of the Data Science Blogathon. The post Quick Guide to Evaluation Metrics for Supervised and Unsupervised Machine Learning appeared first on Analytics Vidhya. Introduction Machine learning is about building a predictive model using historical data.

Machine Learning 306

Machine Learning Metrics Predictive Modeling Data Science 306

Analytics Vidhya

JULY 20, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Evaluation Metrics for Classification Problem Image source ?[link] The post Metrics to Evaluate your Classification Model to take the right decisions appeared first on Analytics Vidhya. link] Abstract The most.

Metrics 271

Metrics Modeling Data Science Publishing 271

Analytics Vidhya

JANUARY 16, 2021

ArticleVideos This article was published as a part of the Data Science Blogathon. The post Python Code Performance Measurement – Measure the right metric to optimize better! Introduction Performance optimization is an important concern in any data science. appeared first on Analytics Vidhya.

Measurement 279

Measurement Metrics Optimization Data Science 279

Analytics Vidhya

MAY 19, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Machine Learning is a branch of Artificial Intelligence. The post Know The Best Evaluation Metrics for Your Regression Model ! It contains. appeared first on Analytics Vidhya.

Metrics 201

Metrics Modeling Machine Learning Data Science 201

datapine

JULY 3, 2019

Here, we’ll examine 18 essential KPIs for social media, explore the dynamics and demonstrate the importance of social metrics in the modern business age with the help of a KPI software , and, finally, wrapping up with tips on how to set KPIs and make the most of your social platforms. Let’s get going. What Are Social Media KPIs?

Metrics 219

Metrics KPI Strategy ROI 219

Analytics Vidhya

JULY 5, 2022

This article was published as a part of the Data Science Blogathon. Introduction to Confusion Matrix In a situation where we want to make discrete predictions, we often wish to assess the quality of our model beyond simple metrics like the model’s accuracy, especially if we have many classes.

Metrics 367

Metrics Data Science Publishing Modeling 367

Analytics Vidhya

SEPTEMBER 10, 2021

This article was published as a part of the Data Science Blogathon Introduction With ignite, you can write loops to train the network in just a few lines, add standard metrics calculation out of the box, save the model, etc. Well, for those who have moved from TF to PyTorch, we can say that the ignite […].

Testing 356

Testing Metrics Data Science Publishing 356

Analytics Vidhya

AUGUST 3, 2022

This article was published as a part of the Data Science Blogathon. Introduction Previous articles on this data science interview series have discussed interview questions related to Regression Analysis, Classification Metrics, and Ensemble Approaches.

Data Science 349

Data Science Machine Learning Metrics Publishing 349

Analytics Vidhya

OCTOBER 22, 2021

This article was published as a part of the Data Science Blogathon Introduction Working as an ML engineer, it is common to be in situations where you spend hours to build a great model with desired metrics after carrying out multiple iterations and hyperparameter tuning but cannot get back to the same results with the […].

Machine Learning 348

Machine Learning Metrics Data Science Publishing 348

Analytics Vidhya

JANUARY 28, 2022

This article was published as a part of the Data Science Blogathon. The Model development process undergoes multiple iterations and finally, a model which has acceptable performance metrics on test data is taken to the production […].

Modeling 346

Modeling Machine Learning Metrics Testing 346

Analytics Vidhya

NOVEMBER 26, 2021

This article was published as a part of the Data Science Blogathon. We will train various classification models and compare the performance metrics to extract useful insights. In this post, we will discuss the sentiment analysis problem. We have taken the Twitter US airline sentiment dataset for this empirical study.

Machine Learning 343

Machine Learning Metrics Data Science Publishing 343

datapine

SEPTEMBER 29, 2022

6) Data Quality Metrics Examples. Reporting being part of an effective DQM, we will also go through some data quality metrics examples you can use to assess your efforts in the matter. The data quality analysis metrics of complete and accurate data are imperative to this step. Table of Contents. 2) Why Do You Need DQM?

Data Quality 241

Data Quality Metrics Data-driven Management 241

Analytics Vidhya

NOVEMBER 25, 2022

This article was published as a part of the Data Science Blogathon. Source:pixabay.com Introduction State-of-the-art machine learning models and artificially intelligent machines are made of complex processes like adjusting hyperparameters and choosing models that provide better accuracy and the metrics that govern this behavior.

Machine Learning 328

Machine Learning Metrics Data Science Publishing 328

Occam's Razor

MAY 2, 2017

There is no golden metric for everyone, we are all unique snowflakes! :). and tell you what are the best key performance indicators (metrics) for them. In the past I’ve shared a cluster of metrics that small, medium and large businesses can use as a springboard…. If you want to play along. Don’t read what I’ve chosen.

Metrics 143

Metrics Key Performance Indicator B2B Measurement 143

AWS Big Data

MARCH 29, 2024

In Part 2 of this series, we discussed how to enable AWS Glue job observability metrics and integrate them with Grafana for real-time monitoring. In this post, we explore how to connect QuickSight to Amazon CloudWatch metrics and build graphs to uncover trends in AWS Glue job observability metrics.

Metrics 128

Metrics Visualization Dashboards Publishing 128

DataKitchen

MARCH 16, 2023

But wait, she asks you for your team metrics. Where is your metrics report? What are the metrics that matter? Gartner attempted to list every metric under the sun in their recent report , “T oolkit: Delivery Metrics for DataOps, Self-Service Analytics, ModelOps, and MLOps, ” published February 7, 2023.

Metrics 130

Metrics Data Analytics Analytics Measurement 130

CIO Business Intelligence

NOVEMBER 15, 2023

One vehicle might be an annual report, one similar to those that have been published for years by public companies—10ks and 10qs and all those other filings by which stakeholders judge a company’s performance, posture, and potential. Such a report has a legacy already, if only a short one. Such has been the pattern of history.

Publishing 124

Publishing Reporting IT Finance 124

Analytics Vidhya

JUNE 5, 2022

This article was published as a part of the Data Science Blogathon. Introduction on Restaurant Recommender This case study covers a very important business problem which is recommender systems. as we are in rapid consumption of content and commodities ordered by online delivery apps.

Data Science 378

Data Science Publishing Analytics Metrics 378

DataKitchen

JANUARY 20, 2021

Centralizing analytics helps the organization standardize enterprise-wide measurements and metrics. With a standard metric supported by a centralized technical team, the organization maintains consistency in analytics. A centralized team can publish a set of software services that support the rollout of Agile/DataOps.

Metrics 243

Metrics Experimentation Measurement Testing 243

Occam's Razor

MAY 5, 2016

If you are getting the feeling that I'm holding publishers, large and medium companies with large people, platforms and budgets to do more in this debate, you would be right. Both the non-intelligent advertiser and the non-intelligent publisher. And, you can see the all important metric of Conversion Rate.

Metrics 104

Metrics Reporting Analytics Advertising 104

AWS Big Data

DECEMBER 5, 2024

Hydro is powered by Amazon MSK and other tools with which teams can move, transform, and publish data at low latency using event-driven architectures. Solution overview The MSK clusters in Hydro are configured with a PER_TOPIC_PER_BROKER level of monitoring, which provides metrics at the broker and topic levels.

Metrics 94

Metrics Dashboards Testing Optimization 94

Analytics Vidhya

AUGUST 6, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Hello folks, so this article has the detailed concept of. The post How KNN Uses Distance Measures? appeared first on Analytics Vidhya.

Measurement 337

Measurement Data Science Publishing Analytics 337

O'Reilly on Data

MARCH 31, 2020

You might establish a baseline by replicating collaborative filtering models published by teams that built recommenders for MovieLens, Netflix, and Amazon. It may even be faster to launch this new recommender system, because the Disney data team has access to published research describing what worked for other teams.

Management 363

Management Machine Learning Experimentation Metrics 363

CIO Business Intelligence

OCTOBER 10, 2024

Aligning IT operations with ESG metrics: CIOs need to ensure that technology systems are energy-efficient and contribute to reducing the company’s carbon footprint. Aligning technology with ESG metrics: CIOs must lead efforts to align AI, genAI and blockchain technologies with specific ESG metrics. federal agencies.

Metrics 124

Metrics Optimization Strategy Technology 124

AWS Big Data

AUGUST 21, 2023

In this post, we explore how to deploy Amazon CloudWatch metrics using an AWS CloudFormation template to monitor an OpenSearch Service domain’s storage and shard skew. This allows write access to CloudWatch metrics and access to the CloudWatch log group and OpenSearch APIs. An OpenSearch Service domain. Choose Next.

Metrics 98

Metrics Testing Strategy Metadata 98

Analytics Vidhya

DECEMBER 2, 2021

This article was published as a part of the Data Science Blogathon. Introduction to Evaluation of Classification Model As the topic suggests we are going to study Classification model evaluation. Before starting out directly with classification let’s talk about ML tasks in general.

Data Science 318

Data Science Modeling Machine Learning Publishing 318

Analytics Vidhya

DECEMBER 16, 2020

This article was published as a part of the Data Science Blogathon. Introduction There are so many performance evaluation measures when it comes to. The post Decluttering the performance measures of classification models appeared first on Analytics Vidhya.

Measurement 306

Measurement Modeling Data Science Publishing 306

Cloudera

JULY 21, 2022

Cloudera has partnered with Rill Data, an expert in metrics at any scale, as Cloudera’s preferred ISV partner to provide technical expertise and support services for Apache Druid customers. Deploying metrics shouldn’t be so hard. Intuitive metrics, simple design. Co-author: Mike Godwin, Head of Marketing, Rill Data.

Metrics 87

Metrics Slice and Dice Data Warehouse Dashboards 87

datapine

FEBRUARY 4, 2020

Structure your metrics. As with any report you might need to create, structuring and implementing metrics that will tell an interesting and educational data-story is crucial in our digital age. That way you can choose the best possible metrics for your case. Regularly monitor your data. 1) Marketing CMO report.

Reporting 280

Reporting Marketing Advertising Metrics 280

AWS Big Data

MARCH 25, 2025

After you have logged in, you need to configure the primary MSK cluster bootstrap address to create a topic and publish data to the cluster. Some important MSK Replicator metrics to monitor are ReplicationLatency , MessageLag , and ReplicatorThroughput. The MessageLag metric should come down close to 0.

Metrics 90

Metrics Testing Management Risk 90

datapine

SEPTEMBER 16, 2022

Now that you’re sold on the power of data analytics in addition to data-driven BI, it’s time to take your journey a step further by exploring how to effectively communicate vital metrics and insights in a concise, inspiring, and accessible format through the power of visualization. back on every dollar spent. click for book source**.

Visualization 304

Visualization Dashboards Data-driven Statistics 304

Analytics Vidhya

OCTOBER 28, 2021

This article was published as a part of the Data Science Blogathon The objective of any machine learning model is to understand and learn patterns from the data which can further be used to make predictions or answer questions or simply just understand the underlying pattern that is otherwise not evident candidly. Most of the […].

Modeling 291

Modeling Machine Learning Data Science Publishing 291

AWS Big Data

JUNE 19, 2023

To be clear, Hadoop code will display lots of exceptions in debug mode because it tests environment settings and looks for things that aren’t provisioned in your Lambda environment, like a Hadoop metrics collector. Most of these startup errors are not fatal and can be ignored.

Publishing 105

Publishing Dashboards Visualization Management 105

AWS Big Data

JANUARY 15, 2025

To achieve this, EUROGATE designed an architecture that uses Amazon DataZone to publish specific digital twin data sets, enabling access to them with SageMaker in a separate AWS account. From here, the metadata is published to Amazon DataZone by using AWS Glue Data Catalog. This process is shown in the following figure.

IoT 110

IoT Machine Learning Metadata Data-driven 110

O'Reilly on Data

APRIL 23, 2024

They published the original Transformer paper (not quite coincidentally called “Attention is All You Need”) in 2017, and released BERT , an open source implementation, in late 2018, but they never went so far as to build and release anything like OpenAI’s GPT line of services. Let’s not wait till the robber barons are back.

Advertising 338

Advertising Cost-Benefit Marketing Risk 338

AWS Big Data

NOVEMBER 6, 2024

Kinesis Data Streams not only offers the flexibility to use many out-of-box integrations to process the data published to the streams, but also provides the capability to build custom stream processing applications that can be deployed on your compute fleet. and why it results in higher costs. Key checklists when you choose to use KCL 3.0

Cost-Benefit 115

Cost-Benefit Metadata Optimization Publishing 115

DataKitchen

SEPTEMBER 20, 2021

The self-service team in New Jersey uses sandboxes aligned with their data pipeline (Add Data, Deploy, Publish). DataKitchen automated orchestration provides an opportunity to collect and display metrics on all of the activities related to analytics. The “Feature to Dev” metric shows new analytics ready for release.

Testing 246

Testing Metrics Measurement Dashboards 246