Analytics Vidhya

JUNE 21, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Deep learning techniques like image classification, segmentation, object detection are used. The post Evaluate Your Model – Metrics for Image Classification and Detection appeared first on Analytics Vidhya.

Metrics 283

Metrics Modeling Deep Learning Data Science 283

Analytics Vidhya

JANUARY 27, 2022

This article was published as a part of the Data Science Blogathon. The post Evaluation Metrics With Python Codes appeared first on Analytics Vidhya. Introduction The basic idea of building a machine learning model is to assess the relationship between the dependent and independent variables.

Metrics 260

Metrics Machine Learning Data Science Publishing 260

Analytics Vidhya

OCTOBER 12, 2020

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

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. Introduction Performance optimization is an important concern in any data science. The post Python Code Performance Measurement – Measure the right metric to optimize better! appeared first on Analytics Vidhya.

Measurement 279

Measurement Metrics Optimization Data Science 279

Analytics Vidhya

JUNE 14, 2024

Introduction Evaluation of models and medical tests is significant in both data science and medicine. However, these two domains use different metrics, which is confusing. While data scientists use precision and recall, medics use specificity and sensitivity.

Data Science 232

Data Science Metrics Testing Modeling 232

datapine

MAY 14, 2019

By gaining the ability to understand, quantify, and leverage the power of online data analysis to your advantage, you will gain a wealth of invaluable insights that will help your business flourish. The ever-evolving, ever-expanding discipline of data science is relevant to almost every sector or industry imaginable – on a global scale.

Data Science 350

Data Science Machine Learning Big Data Data-driven 350

Analytics Vidhya

DECEMBER 2, 2021

This article was published as a part of the Data Science Blogathon. The post Evaluating A Classification Model for Data Science appeared first on Analytics Vidhya. Introduction to Evaluation of Classification Model As the topic suggests we are going to study Classification model evaluation.

Data Science 318

Data Science Modeling Machine Learning Publishing 318

Analytics Vidhya

JULY 9, 2024

This powerful metric, called relative entropy or information gain, has become indispensable in various fields, from statistical inference to deep learning. Introduction Few concepts in mathematics and information theory have profoundly impacted modern machine learning and artificial intelligence, such as the Kullback-Leibler (KL) divergence.

Machine Learning 255

Machine Learning Metrics Deep Learning Statistics 255

Analytics Vidhya

FEBRUARY 4, 2020

The post How to Create a Test Set to Approximate Business Metrics Offline appeared first on Analytics Vidhya. Introduction Most Kaggle-like machine learning hackathons miss a core aspect of a machine learning workflow – preparing an offline evaluation environment while building an.

Metrics 290

Metrics Testing Machine Learning Analytics 290

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

KDnuggets

APRIL 13, 2023

Improves your data science skill arsenals with these metrics.

Metrics 160

Metrics Data Science Machine Learning 160

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

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. Introduction A Machine Learning solution to an unambiguously defined business problem is developed by a Data Scientist ot ML Engineer.

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

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

Rocket-Powered Data Science

SEPTEMBER 20, 2021

The way that I explained it to my data science students years ago was like this. The semantic layer delivers data insights discovery and usability across the whole enterprise, with each business user empowered to use the terminology and tools that are specific to their role. That’s data democratization. That’s empowering.

Data Science 286

Data Science Forecasting Business Intelligence Sales 286

Smart Data Collective

AUGUST 18, 2021

Although widely used, keyword scanning software alone simply doesn’t generate sufficient success metrics when sifting through candidate resumes. If your recruitment process takes longer than this average, data science can help you speed it up while providing better results. Speed up the recruitment process. Retaining staff.

Data Science 139

Data Science Management Big Data Metrics 139

Rocket-Powered Data Science

MARCH 19, 2019

A better prescription for business success is for our organization to be analytics – driven and thus analytics-first , while being data -informed and technology -empowered. Analytics are the products, the outcomes, and the ROI of our Big Data , Data Science, AI, and Machine Learning investments!

Analytics 193

Analytics Metrics Data-driven Machine Learning 193

Data Science 101

FEBRUARY 22, 2020

Welcome to Cloud Data Science 8. Amazon Redshift now supports Authentication with Microsoft Azure AD Redshift, a data warehouse, from Amazon now integrates with Azure Active Directory for login. Thanks for reading the weekly news, and you can find previous editions on the Cloud Data Science News page.

Data Science 103

Data Science Forecasting Data Warehouse Machine Learning 103

Rocket-Powered Data Science

DECEMBER 16, 2018

In a related post we discussed the Cold Start Problem in Data Science — how do you start to build a model when you have either no training data or no clear choice of model parameters. The above example (clustering) is taken from unsupervised machine learning (where there are no labels on the training data).

Machine Learning 203

Machine Learning Metrics Optimization Data Science 203

CIO Business Intelligence

MARCH 25, 2025

Data debt that undermines decision-making In Digital Trailblazer , I share a story of a private company that reported a profitable year to the board, only to return after the holiday to find that data quality issues and calculation mistakes turned it into an unprofitable one.

Risk 140

Risk Cost-Benefit Data-driven Digital Transformation 140

O'Reilly on Data

MARCH 27, 2019

The Strata Data Award is given to the most disruptive startup, the most innovative industry technology, the most impactful data science project, and the most notable open source contribution. Watch " Winners of the Strata Data Awards 2019.". Theresa Johnson outlines the AI powering Airbnb’s metrics forecasting platform.

Uncertainty 273

Uncertainty Forecasting Machine Learning Data-driven 273

KDnuggets

MARCH 31, 2023

Looking to understand the most commonly used distance metrics in machine learning? This guide will help you learn all about Euclidean, Manhattan, and Minkowski distances, and how to compute them in Python.

Metrics 121

Metrics Machine Learning Data Science 121

Domino Data Lab

MARCH 3, 2021

In some cases, data science does generate models directly to revenue, such as a contextual deal engine that targets people with offers that they can instantly redeem. How do we track value enabled through better decision support such as a data science model or a diagnostic visualization versus an experienced manager making decisions?

Metrics 93

Metrics Modeling Data Science Sales 93

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

MAY 14, 2020

This includes tools for model development (such as the Cloudera Data Science Workbench ) and production serving infrastructure (such as Seldon and TFX ). data platform, metrics, ML/AI research, and applied ML). According to VentureBeat , fewer than 15% of Data Science projects actually make it into production.

Management 364

Management Experimentation B2B Machine Learning 364

DataKitchen

APRIL 13, 2021

Piperr.io — Pre-built data pipelines across enterprise stakeholders, from IT to analytics, tech, data science and LoBs. Prefect Technologies — Open-source data engineering platform that builds, tests, and runs data workflows. Genie — Distributed big data orchestration service by Netflix.

Testing 300

Testing Machine Learning Consulting Data Science 300

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

Domino Data Lab

APRIL 29, 2021

If we can crack the nut of enabling a wider workforce to build AI solutions, we can start to realize the promise of data science. Transferring knowledge between data scientists and data experts (in both directions) is critical and may soon lend itself to a new view of citizen data science. data scientists.

Data Science 134

Data Science Deep Learning Modeling Forecasting 134

O'Reilly on Data

MAY 1, 2019

Cait O’Riordan discusses the North Star metric the Financial Times uses to drive subscriber growth. Making data science useful. Cassie Kozyrkov explains how organizations can extract more value from their data. Watch " Making data science useful.". Watch " The unstoppable rise of white box data.".

Advertising 214

Advertising Machine Learning Predictive Analytics Data Science 214

Analytics Vidhya

MARCH 10, 2023

Introduction DataHour sessions are an excellent opportunity for aspiring individuals looking to launch a career in the data-tech industry, including students and freshers. In this blog post, we […] The post Explore the World of Data-Tech with DataHour appeared first on Analytics Vidhya.

Data Science 306

Data Science Analytics Metrics Machine Learning 306

KDnuggets

APRIL 19, 2022

Statistical performance metrics aren’t enough to pick the right models to bring to market.

Data Science 108

Data Science Modeling Statistics Metrics 108

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. Over the life of the forecast, the data scientist will publish historical accuracy metrics. Our team does a lot of forecasting.

Forecasting 115

Forecasting Data Science Statistics Uncertainty 115

O'Reilly on Data

APRIL 2, 2019

A few years ago, we started publishing articles (see “Related resources” at the end of this post) on the challenges facing data teams as they start taking on more machine learning (ML) projects. Quality depends not just on code, but also on data, tuning, regular updates, and retraining. Deep automation in machine learning”.

Machine Learning 271

Machine Learning Modeling Data Science Software 271