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 386

Predictive Modeling Data Science Publishing Modeling 386

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

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

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 372

Predictive Modeling Data Science Publishing Modeling 372

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 366

Predictive Modeling Machine Learning Data Science Publishing 366

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 332

Predictive Modeling Data Science Publishing Modeling 332

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 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 261

Predictive Modeling Data Science Publishing Modeling 261

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 247

Predictive Modeling Data Science Publishing Modeling 247

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.

Deep Learning 375

Deep Learning Modeling Data Science Publishing 375

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

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 343

Deep Learning Data Science Publishing Analytics 343

O'Reilly on Data

MARCH 20, 2019

The objective here is to brainstorm on potential security vulnerabilities and defenses in the context of popular, traditional predictive modeling systems, such as linear and tree-based models trained on static data sets. If an attacker can receive many predictions from your model API or other endpoint (website, app, etc.),

Modeling 278

Modeling Machine Learning Predictive Modeling Consulting 278

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

O'Reilly on Data

MARCH 23, 2021

One is how it gave rise to new forms of information flow: the vision of a novel space in which anybody could publish anything and everyone could find it. On top of this, pre-existing societal biases are being reinforced and promulgated at previously unheard of scales as we increasingly integrate machine learning models into our daily lives.

Internet Publishing and Broadcasting 342

Internet Publishing and Broadcasting Broadcasting Data-driven Publishing 342

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

CIO Business Intelligence

FEBRUARY 10, 2023

With the help of sophisticated predictive analytics tools and models, any organization can now use past and current data to reliably forecast trends and behaviors milliseconds, days, or years into the future. Predictive analytics has captured the support of wide range of organizations, with a global market size of $12.49

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

O'Reilly on Data

MAY 18, 2020

All predictive models are wrong at times?—just As the renowned statistician George Box once quipped , “All models are wrong, but some are useful.” Earlier this month, the FTC even published specific guidelines related to AI , hinting at enforcement actions to come. just hopefully less so than humans.

Risk 364

Risk Modeling Data Processing Reporting 364

O'Reilly on Data

JUNE 18, 2019

Depending completely on human labeling for these examples is simply a non-starter; as ML models get more complex and the underlying data sources get larger, the need for more data increases, the scale of which cannot be achieved by human experts. Machine learning applications rely on three main components: models, data, and compute.

Machine Learning 279

Machine Learning Data Quality Statistics Modeling 279

Rocket-Powered Data Science

JULY 6, 2021

Customer purchase patterns, supply chain, inventory, and logistics represent just a few domains where we see new and emergent behaviors, responses, and outcomes represented in our data and in our predictive models. 7) Deep learning (DL) may not be “the one algorithm to dominate all others” after all.

Machine Learning 279

Machine Learning Data-driven Deep Learning IoT 279

O'Reilly on Data

SEPTEMBER 19, 2023

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. For a few years, even. But then we hit another hurdle. Time will tell whether any of this hits the mark.

Machine Learning 339

Machine Learning Testing Modeling Cost-Benefit 339

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

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

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

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

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

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. However, no regression model existed for the case where the dependent or outcome variable is the microbiome taxa composition.

Statistics 131

Statistics Measurement Testing Predictive Modeling 131

Domino Data Lab

JANUARY 11, 2021

Once a model has been developed, the model needs to be productionized either via an app, an API or in this case, writing model scores from the prediction model back into Snowflake so that business analyst end users are able to access predictions via their reporting tools.

Data Science 103

Data Science Recreation/Entertainment Data Warehouse Publishing 103

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

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 Reporting 98

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

CIO Business Intelligence

MARCH 19, 2025

Predictive modeling can help companies optimize energy consumption, while AI-driven insights can identify supply chain inefficiencies that lead to excessive waste. Contributing to panels, publishing thought leadership content and engaging in policy discussions can help drive the agenda forward.

IT 59

IT Data Governance Data-driven Metrics 59

CIO Business Intelligence

MAY 28, 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 119

Advertising Machine Learning Software Measurement 119

Cloudera

NOVEMBER 18, 2020

We are delighted to officially publish this year’s Data Impact Award winners. The pipeline provides its clinicians fast access to real-time patient data and prediction models. Our winners were selected by a group of 37 industry analysts, influencers, and members of the media. Data Impact Achievement Award.

Internet Publishing and Broadcasting 123

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 123

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. Nothing…and I DO mean NOTHING…is more prominent in technology buzz today than Artificial Intelligence (AI). billion, with the market growing by 31.1%

Analytics 59

Analytics Predictive Modeling KPI Machine Learning 59