Analytics Vidhya

JUNE 1, 2023

With franchise leagues like IPL and BBL, teams rely on statistical models and tools for competitive edge. This article explores how data analytics optimizes strategies by leveraging player performances and opposition weaknesses. Python programming predicts player performances, aiding team selections and game tactics.

Predictive Modeling 283

Predictive Modeling Modeling Statistics Optimization 283

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

JUNE 24, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Hello readers. The post Linear predictive models – Part 1 appeared first on Analytics Vidhya. This is part-1 of a comprehensive tutorial on Linear.

Predictive Modeling 230

Predictive Modeling Modeling Data Science Publishing 230

Analytics Vidhya

MAY 24, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon INTRODUCTION: Stroke is a medical condition that can lead to the. The post How to create a Stroke Prediction Model? appeared first on Analytics Vidhya.

Predictive Modeling 264

Predictive Modeling Modeling Data Science Publishing 264

Analytics Vidhya

JANUARY 12, 2021

ArticleVideos This article was published as a part of the Data Science Blogathon. Specific to Predictive Models). Hello, There Data science has been a vastly growing and improving. The post 5 Important things to Keep in Mind during Data Preprocessing! appeared first on Analytics Vidhya.

Predictive Modeling 337

Predictive Modeling Modeling Data Science Publishing 337

Analytics Vidhya

JUNE 29, 2021

ArticleVideo Book Introduction: In this article, I will be implementing a predictive model on Rain Dataset to predict whether or not it will rain. The post Predictive Modelling | Rain Prediction in Australia With Python. appeared first on Analytics Vidhya.

Predictive Modeling 151

Predictive Modeling Modeling Analytics IT 151

Analytics Vidhya

DECEMBER 6, 2023

Introduction AI is experiencing a significant shift with the emergence of LLMs like GPT-4, revolutionizing machine understanding and generation of human language. emerges as a formidable tool in predictive modelling, enhancing machine learning with improved efficiency and accuracy. Alongside, xgboost 2.0

Predictive Modeling 319

Predictive Modeling Machine Learning Modeling Analytics 319

TDAN

AUGUST 17, 2021

If you are planning on using predictive algorithms, such as machine learning or data mining, in your business, then you should be aware that the amount of data collected can grow exponentially over time.

Predictive Modeling 115

Predictive Modeling Modeling Data mining Big Data 115

Analytics Vidhya

DECEMBER 22, 2022

This is the 4th article of the series of data science interview questions. This article will cover all you need to know about boosting algorithms. We have various Machine Learning algorithms to build predictive models. Introduction Hi everyone! In case you want to revisit the previous ones, tap here.

Predictive Modeling 288

Predictive Modeling Machine Learning Data Science Modeling 288

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 347

Predictive Modeling Machine Learning Data Science Publishing 347

O'Reilly on Data

DECEMBER 12, 2019

For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption. Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML.

Machine Learning 197

Machine Learning Modeling Testing Risk Management 197

Decision Management Solutions

JANUARY 16, 2020

The Machine Learning Times (previously Predictive Analytics Times) is the only full-scale content portal devoted exclusively to predictive analytics. In this month’s featured article, Eric Siegel, Ph.D., ” In his article, Eric warns, “Predictive models often fail to launch.

Machine Learning 87

Machine Learning Predictive Modeling Predictive Analytics Deep Learning 87

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. Model Interpretability. Model Reproducibility. In this article, we explore model governance, a function of ML Operations (MLOps). Machine Learning Model Lineage.

Machine Learning 84

Machine Learning Modeling Metadata Recreation/Entertainment 84

DataRobot Blog

JANUARY 27, 2019

In my previous articles Predictive Model Data Prep: An Art and Science and Data Prep Essentials for Automated Machine Learning, I shared foundational data preparation tips to help you successfully. by Jen Underwood. Read More.

Machine Learning 92

Machine Learning Modeling Predictive Modeling Predictive Analytics 92

Smart Data Collective

SEPTEMBER 30, 2021

But what if machine learning could be used beyond niche or individual contexts? Below, we’ll be exploring a few of the ways that machine learning can be used for improving our cities and making them smarter overall. There is growing evidence big data and machine learning can help save the environment.

Machine Learning 124

Machine Learning Cost-Benefit Optimization Forecasting 124

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is machine learning? This post will dive deeper into the nuances of each field.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

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. In this article, we will look into a very simple feature analysis technique that can be used in cases such as […].

Predictive Modeling 292

Predictive Modeling Data Science Publishing Modeling 292

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 379

Predictive Modeling Data Science Publishing Modeling 379

Smart Data Collective

SEPTEMBER 19, 2019

Machine learning has played a very important role in the development of technology that has a large impact on our everyday lives. However, machine learning is also influencing the direction of technology that is not as commonplace. Text to speech technology predates machine learning by over a century.

Machine Learning 83

Machine Learning Technology Deep Learning Predictive Modeling 83

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 223

Predictive Modeling Data Science Publishing Modeling 223

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.

Modeling 226

Modeling Machine Learning Predictive Modeling Consulting 226

Smarten

APRIL 19, 2024

In this article, we will discuss the current state of AI in analytics, as well as the future of this burgeoning industry and how it can be applied to analytics to simplify and clarify results and to make analytics easier for businesses and business users to leverage.

Analytics 59

Analytics Predictive Modeling KPI Machine Learning 59

Smarten

APRIL 10, 2023

Investment in predictive analytics benefits everyone in the organization, including business users and team members, data scientists and the organization in general. Instead, they can use assisted predictive modeling to improve business agility and align processes, activities and tasks with business objectives and goals.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Analytics Prescriptive Analytics 52

O'Reilly on Data

JUNE 18, 2019

Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge. “AI Moreover, the domain knowledge, which often is not encoded in the data (nor fully documented), is an integral part of this data (see this article from Forbes). See this article on data integration status for details.

Machine Learning 264

Machine Learning Data Quality Statistics Modeling 264

Rocket-Powered Data Science

JULY 6, 2021

1) Automated Narrative Text Generation tools became incredibly good in 2020, being able to create scary good “deep fake” articles. 2) MLOps became the expected norm in machine learning and data science projects. the monitoring of very important operational ML characteristics: data drift, concept drift, and model security).

Machine Learning 279

Machine Learning Data-driven Deep Learning IoT 279

Smart Data Collective

JULY 24, 2023

This article will delve into the transformative potential of AI in Vendor Management Systems, and how it’s setting the stage for a more strategic, intelligent, and efficient approach to procurement. As AI reshapes traditional operational landscapes, the procurement sector stands on the cusp of a new era.

Management 89

Management Cost-Benefit Data-driven Predictive Analytics 89

Rocket-Powered Data Science

FEBRUARY 12, 2021

In the rest of this article, we will refer to IPA as intelligent automation (IA), which is simply short-hand for intelligent process automation. This is accomplished by adding more data-driven, machine learning, and AI (artificial intelligence) components to the process discovery, process mining, and process learning stages.

ROI 234

ROI Digital Transformation Reporting Machine Learning 234

Smarten

MAY 31, 2022

The technology research firm, Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ It is meant to identify crucial relationships and opportunities and risks and help the organization to accurately predict: Growth.

Predictive Analytics 69

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 69

Smarten

OCTOBER 25, 2023

For more information on Mobile BI and Augmented Analytics, read our article, ‘ Understanding The Truth About Mobile BI.’ If you want to support your Citizen Data Scientists and every member of your business user team, explore Smarten Mobile Augmented Analytics And Mobile BI.

Visualization 69

Visualization Predictive Modeling Machine Learning Business Intelligence 69

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 366

Manufacturing Data Science Publishing Analytics 366

Data Science and Beyond

JULY 22, 2018

This article is a short summary of my understanding of the definition of data science in 2018. It’s not all about machine learning. 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

DataRobot Blog

JULY 28, 2022

Rapid advances in machine learning in recent years have begun to lower the technical hurdles to implementing AI, and various companies have begun to actively use machine learning. The accuracy of machine learning models is highly dependent on the quality of the training data. initial_value_guess.

Data Science 72

Data Science Machine Learning Statistics Modeling 72

Smarten

JUNE 10, 2022

Predictive Modeling to support business needs, forecast, and test theories. Cloud and Mobile Access to make business intelligence, data models and data sources accessible from anywhere. Assisted Predictive Modeling. Anomaly Monitoring and Alerts.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

DataRobot Blog

JUNE 3, 2022

Generative Pre-trained Transformer 3 (GPT-3) is a language model that utilizes deep-structured learning to predict human-like text. GPT-3 was created by OpenAI – a San Francisco-based artificial intelligence research laboratory – as the third-generation language prediction model in the GPT-n series. Believe me.”.

Risk 52

Risk Predictive Modeling Modeling Finance 52

Domino Data Lab

JULY 28, 2021

In this article, we will provide an overview of the three overlapping components of data science, the importance of communication and collaboration, and how the Domino Data Lab MLOps platform can help improve the speed and efficiency of your team. All models are not made equal. After cleaning, the data is now ready for processing.

Data Science 110

Data Science Statistics Predictive Analytics Recreation/Entertainment 110

Occam's Razor

AUGUST 9, 2021

Bonus Tip: If you would like to migrate to the free version of Google Analytics 4 to take advantage of the above delicious predictive metrics, here’s a helpful article. Predictive Metrics Nirvana – An Example. The Danger in Predicting the Future. It is a great way to invest in your personal learning and growth.

Metrics 143

Metrics Analytics Key Performance Indicator Predictive Modeling 143

AWS Big Data

JANUARY 25, 2023

SikSin confronted two business challenges: Customer engagement – SikSin maintains data on more than 750,000 restaurants and has more than 4,000 restaurant articles (and growing). The recommendation records are surfaced using interaction data, product data, and predictive models.

Visualization 77

Visualization Interactive Modeling Machine Learning 77