Analytics Vidhya

JULY 25, 2022

This article was published as a part of the Data Science Blogathon. Introduction Let’s have a simple overview of what Machine Learning is. The post Machine Learning Paradigms with Example appeared first on Analytics Vidhya. Source: [link] For […]. Source: [link] For […].

Machine Learning 271

Machine Learning Predictive Modeling Statistics Data Science 271

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 361

Predictive Modeling Modeling Data Science Publishing 361

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 276

Predictive Modeling Modeling Data Science Publishing 276

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 291

Predictive Modeling Modeling Statistics Optimization 291

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 271

Predictive Modeling Modeling Data Science Publishing 271

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

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 190

Predictive Modeling Modeling Analytics IT 190

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 328

Predictive Modeling Machine Learning Modeling Analytics 328

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 291

Predictive Modeling Machine Learning Data Science Modeling 291

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

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 196

Machine Learning Modeling Testing Risk Management 196

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 332

Predictive Modeling Data Science Publishing Modeling 332

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 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

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 225

Modeling Machine Learning Predictive Modeling Consulting 225

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 130

Machine Learning Cost-Benefit Optimization Forecasting 130

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

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

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 263

Machine Learning Data Quality Statistics Modeling 263

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

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 90

Machine Learning Modeling Metadata Recreation/Entertainment 90

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

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 86

Machine Learning Technology Deep Learning Predictive Modeling 86

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

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

Smarten

NOVEMBER 26, 2024

The business can harness the power of statistics and machine learning to uncover those crucial nuggets of information that drive effective decision, and to improve the overall quality of data. This helps you select the predictors that have the greatest impact, making it easier to create an effective predictive model.

Data Quality 62

Data Quality Machine Learning Predictive Modeling Metadata 62

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 94

Management Cost-Benefit Data-driven Predictive Analytics 94

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

datapine

MARCH 25, 2022

While some experts try to underline that BA focuses, also, on predictive modeling and advanced statistics to evaluate what will happen in the future, BI is more focused on the present moment of data, making the decision based on current insights. Your Chance: Want to extract the maximum potential out of your data?

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

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

Domino Data Lab

JULY 9, 2019

Wiggins advocated that data scientists find problems that impact the business; re-frame the problem as a machine learning (ML) task; execute on the ML task; and communicate the results back to the business in an impactful way. I still believe that data science is the craft of trying to apply machine learning to some real world problem.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

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 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

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 57

Analytics Predictive Modeling KPI Machine Learning 57

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

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

Sisense

APRIL 10, 2020

We’ll actually do this later in this article. These support a wide array of uses, such as data analysis, manipulation, visualizations, and machine learning (ML) modeling. Modeling in R and Python. In modeling, we find relationships between input variables and the target variable. R libraries.

Deep Learning 98

Deep Learning Data Science Machine Learning Visualization 98

O'Reilly on Data

MARCH 23, 2021

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. Put simply, we are reduced to the inputs of an algorithm.

Internet Publishing and Broadcasting 317

Internet Publishing and Broadcasting Broadcasting Data-driven Publishing 317