Analytics Vidhya

SEPTEMBER 4, 2021

This article was published as a part of the Data Science Blogathon Designing a deep learning model that will predict degradation rates at each base of an RNA molecule using the Eterna dataset comprising over 3000 RNA molecules. The post Deep learning model to predict mRNA Degradation appeared first on Analytics Vidhya.

Deep Learning 374

Deep Learning Modeling Data Science Publishing 374

Analytics Vidhya

JANUARY 15, 2022

This article was published as a part of the Data Science Blogathon. Overview The core of the data science project is data & using it to build predictive models and everyone is excited and focused on building an ML model that would give us a near-perfect result mimicking the real-world business scenario.

Predictive Modeling 396

Predictive Modeling Data Science Publishing Modeling 396

Analytics Vidhya

DECEMBER 3, 2020

This article was published as a part of the Data Science Blogathon. Introduction The general principle of ensembling is to combine the predictions of various. The post Improve your Predictive Model’s Score using a Stacking Regressor appeared first on Analytics Vidhya.

Predictive Modeling 385

Predictive Modeling Data Science Publishing Modeling 385

Analytics Vidhya

DECEMBER 4, 2022

This article was published as a part of the Data Science Blogathon. Source: Canva Introduction The real-world data can be very messy and skewed, which can mess up the effectiveness of the predictive model if it is not addressed correctly and in time.

Predictive Modeling 367

Predictive Modeling Data Science Publishing Modeling 367

Analytics Vidhya

AUGUST 1, 2022

This article was published as a part of the Data Science Blogathon. What is equally important here is the ability to communicate the data and insights from your predictive models through reports and dashboards. PowerBI is used for Business intelligence.

Reporting 389

Reporting Predictive Modeling Dashboards Business Intelligence 389

Analytics Vidhya

MAY 13, 2022

This article was published as a part of the Data Science Blogathon. Introduction on AutoKeras Automated Machine Learning (AutoML) is a computerised way of determining the best combination of data preparation, model, and hyperparameters for a predictive modelling task.

Predictive Modeling 364

Predictive Modeling Machine Learning Data Science Publishing 364

O'Reilly on Data

MARCH 20, 2019

Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors. Like many others, I’ve known for some time that machine learning models themselves could pose security risks. This is like a denial-of-service (DOS) attack on your model itself.

Modeling 278

Modeling Machine Learning Predictive Modeling Consulting 278

Analytics Vidhya

MARCH 22, 2022

This article was published as a part of the Data Science Blogathon. Introduction Feature analysis is an important step in building any predictive model. It helps us in understanding the relationship between dependent and independent variables.

Predictive Modeling 322

Predictive Modeling Data Science Publishing Modeling 322

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 304

Machine Learning Metrics Predictive Modeling Data Science 304

Analytics Vidhya

JULY 25, 2022

This article was published as a part of the Data Science Blogathon. Machine Learning is the method of teaching computer programs to do a specific task accurately (essentially a prediction) by training a predictive model using various statistical algorithms leveraging data. Source: [link] For […].

Machine Learning 271

Machine Learning Predictive Modeling Statistics Data Science 271

Analytics Vidhya

DECEMBER 9, 2020

This article was published as a part of the Data Science Blogathon. Introduction While trying to make a better predictive model, we come across. The post Out-of-Bag (OOB) Score in the Random Forest Algorithm appeared first on Analytics Vidhya.

Predictive Modeling 254

Predictive Modeling Data Science Publishing Modeling 254

Analytics Vidhya

MARCH 20, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Some time back, I was making the predictive model. The post STANDARDIZED VS UNSTANDARDIZED REGRESSION COEFFICIENT appeared first on Analytics Vidhya.

Predictive Modeling 214

Predictive Modeling Data Science Publishing Modeling 214

Analytics Vidhya

SEPTEMBER 23, 2021

This article was published as a part of the Data Science Blogathon Overview of Electric Vehicle Sector The supply of fossil fuels is constantly decreasing. The post Data Analysis and Price Prediction of Electric Vehicles appeared first on Analytics Vidhya. The situation is very alarming. A lot of change needs to happen.

Manufacturing 367

Manufacturing Data Science Publishing Analytics 367

O'Reilly on Data

MAY 18, 2020

This article answers these questions, based on our combined experience as both a lawyer and a data scientist responding to cybersecurity incidents, crafting legal frameworks to manage the risks of AI, and building sophisticated interpretable models to mitigate risk. All predictive models are wrong at times?—just

Risk 364

Risk Modeling Data Processing Software 364

Analytics Vidhya

MAY 22, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Deep Learning is a very powerful tool that has now. The post Pneumonia Prediction: A guide for your first CNN project appeared first on Analytics Vidhya.

Deep Learning 341

Deep Learning Data Science Publishing Analytics 341

O'Reilly on Data

JUNE 18, 2019

There has been a significant increase in our ability to build complex AI models for predictions, classifications, and various analytics tasks, and there’s an abundance of (fairly easy-to-use) tools that allow data scientists and analysts to provision complex models within days. Data integration and cleaning.

Machine Learning 279

Machine Learning Data Quality Statistics Modeling 279

O'Reilly on Data

SEPTEMBER 19, 2023

Stage 2: Machine learning models Hadoop could kind of do ML, thanks to third-party tools. While data scientists were no longer handling Hadoop-sized workloads, they were trying to build predictive models on a different kind of “large” dataset: so-called “unstructured data.” And it was good.

Machine Learning 336

Machine Learning Testing Modeling Cost-Benefit 336

Rocket-Powered Data Science

JULY 6, 2021

MLOps takes the modeling, algorithms, and data wrangling out of the experimental “one off” phase and moves the best models into deployment and sustained operational phase. MLOps “done right” addresses sustainable model operations, explainability, trust, versioning, reproducibility, training updates, and governance (i.e.,

Machine Learning 279

Machine Learning Data-driven Deep Learning IoT 279

O'Reilly on Data

MARCH 23, 2021

Before the advent of broadcast media and mass culture, individuals’ mental models of the world were generated locally, along with their sense of reality and what they considered ground truth. The ability to publish material was relegated to the technical. ” Reality Decentralized. What has happened? How did we get here?

Internet Publishing and Broadcasting 339

Internet Publishing and Broadcasting Broadcasting Data-driven Publishing 339

Smarten

NOVEMBER 23, 2023

Smarten is pleased to announce that its Smarten Augmented Analytics solution is included as a Representative Vendor in the Market Guide for Augmented Analytics Published October 2, 2023 (ID G00780764). The Smarten solution requires no data science skills, knowledge of statistical analysis or BI expertise.

Publishing 64

Publishing Marketing Analytics Predictive Modeling 64

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. from 2022 to 2028. from 2022 to 2028.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

Rocket-Powered Data Science

FEBRUARY 12, 2021

AAI’s recently published “Now and Next State of RPA” report presents detailed results of that survey. Interest in AI is high and growing, specifically in the areas of smart analytics, customer-centricity, chatbots, and predictive modeling. The average ROI from RPA/IA deployments is 250%.

ROI 234

ROI Digital Transformation Reporting Machine Learning 234

Insight

AUGUST 5, 2020

Photo by Devon Divine on Unsplash Originally published in Maslo - Your Virtual Self. This created a summary features matrix of 7472 recordings x 176 summary features, which was used for training emotion label prediction models. Improvements in AUC values across models were also accompanied by increased precision?—?up

Predictive Modeling 98

Predictive Modeling Statistics Modeling Measurement 98

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. Will the model correctly determine it is a muffin or get confused and think it is a chihuahua? The extent to which we can predict how the model will classify an image given a change input (e.g. Model Visibility.

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

Smarten

MARCH 1, 2023

Knowledgebase Articles Scheduler Management : Reinitiate Missed Tasks for Dataset Rebuild and Delivery Publishing Tasks Smarten Application Security : Password patterns and configurations in Smarten Smarten Application Security : HTTP Method Vulnerability and solutions Predictive Use cases Customer Churn model using Smarten Assisted Predictive Modelling (..)

Predictive Modeling 69

Predictive Modeling Publishing Dashboards Modeling 69

Smarten

FEBRUARY 1, 2024

Knowledgebase Articles Datasets & Cubes : Calculating Pending Completion Months for an Ongoing Project General : Publish : Working with E-mail Delivery and Publishing Task Installation : Installation on Windows : Bypassing Smarten executable files from Antivirus Scan Predictive Use cases Assisted predictive modelling : Classification : Customer (..)

Predictive Modeling 64

Predictive Modeling Publishing Testing Modeling 64

Smarten

JUNE 30, 2023

Dashboard / Publish : My user list is empty while publishing any object. Manuals and Technical Guides Smarten-Concept-Manual-SmartenInsight Smarten-Data-Partitioning-Guidelines Smarten-PMML-FAQs If you don’t find what you need in the Support Portal, we hope you will contact us with your questions, comments or suggestions.

Predictive Modeling 78

Predictive Modeling Dashboards Publishing Testing 78

Smarten

AUGUST 16, 2022

Scheduler Management : Reinitiate Missed Tasks for Dataset Rebuild and Delivery Publishing Tasks. Predictive Use cases. Customer Churn model using Smarten Assisted Predictive Modelling. Handling Outliers Using Smarten Assisted Predictive Modelling. Forum Topics.

Predictive Modeling 69

Predictive Modeling Publishing Modeling Management 69

Domino Data Lab

NOVEMBER 17, 2020

Predictive models fit to noise approach 100% accuracy. For example, it’s impossible to know if your predictive model is accurate because it is fitting important variables or noise. These models are well developed when the dependent variable is continuous, categorical, or survival time.

Statistics 131

Statistics Measurement Testing Predictive Modeling 131

Smarten

SEPTEMBER 28, 2023

Knowledgebase Articles Working with Delivery & Publishing Agent : Working with E-mail Delivery and Publishing Task SSDP : Server Shared Directory Configuratio n Predictive Use cases Customer Churn model using Smarten Assisted Predictive Modelling Medical Cost Prediction Using Smarten Assisted Predictive Modelling Forum Topics Dataset : How can (..)

Predictive Modeling 64

Predictive Modeling Publishing Modeling Analytics 64

Domino Data Lab

JANUARY 11, 2021

Arming data science teams with the access and capabilities needed to establish a two-way flow of information is one critical challenge many organizations face when it comes to unlocking value from their modeling efforts. Domino Data Lab and Snowflake: Better Together. Writing data from Domino into Snowflake.

Recreation/Entertainment 103

Recreation/Entertainment Data Science Data Warehouse Publishing 103

DataRobot

OCTOBER 19, 2021

DataRobot helped combat this problem head on by applying AI to evaluate and predict resource allocation and identify the most impacted communities from a national to county level. On average, DataRobot forecasts had a 21 percent lower rate of error than all other published competing models over a six to eight week period.

Forecasting 98

Forecasting Predictive Modeling Optimization Testing 98

CIO Business Intelligence

MARCH 19, 2025

Developers, data architects and data engineers can initiate change at the grassroots level from integrating sustainability metrics into data models to ensuring ESG data integrity and fostering collaboration with sustainability teams. However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive.

IT 59

IT Data Governance Data-driven Metrics 59

IBM Big Data Hub

JANUARY 25, 2024

Yet many AI creators are currently facing backlash for the biases, inaccuracies and problematic data practices being exposed in their models. The math demonstrates a powerful truth All predictive models, including AI, are more accurate when they incorporate diverse human intelligence and experience.

Predictive Modeling 83

Predictive Modeling Risk Modeling Statistics 83

Data Science and Beyond

JULY 22, 2018

Two years later, I published a post on my then-favourite definition of data science , as the intersection between software engineering and statistics. I was very comfortable with that definition, having spent my PhD years on several predictive modelling tasks, and having worked as a software engineer prior to that.

Data Science 79

Data Science Machine Learning Statistics Predictive Modeling 79

Smarten

APRIL 19, 2024

The use of Generative AI, LLM and products such as ChatGPT capabilities has been applied to all kinds of industries, from publishing and research to targeted marketing and healthcare. OpenAI – Azure OpenAI as the foundational entity for creating GPT models and is based on Large Language Models (LLM). in next several years.

Analytics 59

Analytics Predictive Modeling KPI Machine Learning 59

CIO Business Intelligence

MAY 26, 2022

Expectedly, advances in artificial intelligence (AI), machine learning (ML), and predictive modeling are giving enterprises – as well as small/medium-sized businesses – a never-before opportunity to automate their recruitment even as they deal with radical changes in workplace practices involving remote and hybrid work.

Advertising 128

Advertising Machine Learning Software Measurement 128