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This article reflects some of what Ive learned. The hype around large language models (LLMs) is undeniable. Even basic predictivemodeling can be done with lightweight machine learning in Python or R. This article was made possible by our partnership with the IASA Chief Architect Forum.
We detailed the benefits and costs of good or bad quality data in our previous article on data quality management , where you can read the five important pillars to follow. However, businesses today want to go further and predictive analytics is another trend to be closely monitored.
Because all ML models make mistakes, everyone who cares about ML should also care about model debugging. [1] This article is meant to be a short, relatively technical primer on what model debugging is, what you should know about it, and the basics of how to debug models in practice.
Financial institutions such as banks have to adhere to such a practice, especially when laying the foundation for back-test trading strategies. The value that Big Data brings with it is unrivaled, and, in this article, we will see how this brings forth positive results in the banking and finance world. The Role of Big Data.
We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal. If you have not registered yet, Click Here to obtain your login credentials.
We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal. Knowledgebase Articles. Predictive Use cases. Independent Sample T-test Using Smarten Augmented Analytics. Independent Sample T-test Using Smarten Augmented Analytics. Forum Topics.
Everything is being tested, and then the campaigns that succeed get more money put into them, while the others aren’t repeated. This methodology of “test, look at the data, adjust” is at the heart and soul of business intelligence. Your Chance: Want to try a professional BI analytics software? Let’s look at our first use case.
We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal. If you have not registered yet, Click Here to obtain your login credentials. Dashboard / Publish : My user list is empty while publishing any object.
We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal. If you have not registered yet, Click Here to obtain your login credentials.
We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal. If you have not registered yet, Click Here to obtain your login credentials.
The Use and Benefits of Low-Code No-Code Development in Business Intelligence (BI) and Predictive Analytics Solutions Introduction In this article, we will discuss Low-Code and No-Code Development (LCNC) and the use of the Low Code and No Code approach for business intelligence (BI) tools and predictive analytics solutions.
We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal. If you have not registered yet, Click Here to obtain your login credentials.
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.
This article focuses on the Independent Samples T Test technique of Hypothesis testing. What is the Independent Samples T Test Method of Hypothesis Testing? Let’s look at a sample of the Independent t-test on two variables. How Can the Independent Samples T Test Method Benefit an Organization?
This article describes chi square test of association and hypothesis testing. What is the Chi Square Test of Association Method of Hypothesis Testing? Let’s conduct the Chi square test of independence using two variables: Gender and Product category. Use Case – 1. About Smarten.
This article discusses the Paired Sample T Test method of hypothesis testing and analysis. What is the Paired Sample T Test? The Paired Sample T Test is used to determine whether the mean of a dependent variable e.g., weight, anxiety level, salary, reaction time, etc., is the same in two related groups.
Predictivemodeling can help companies optimize energy consumption, while AI-driven insights can identify supply chain inefficiencies that lead to excessive waste. This article was made possible by our partnership with the IASA Chief Architect Forum.
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.
Investment in predictive analytics benefits everyone in the organization, including business users and team members, data scientists and the organization in general. Predictive analytics provides support for data-driven, fact-based decisions and enables insight, perspective and clarity for improved business agility and efficiency.
In this article, we look at the benefits of combining a business intelligence and augmented analytics approach and how your business can have both in one solution. What-If Analysis to test pricing, budget and cost information. Traditional and Modern BI Tools and Benefits. Multidimensional Key Performance Indicators (KPIs).
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.
In this article, we provide a list with links that will detail some of the many analytical techniques your business users will employ and provide examples of how these techniques can be used to solve problems and identify opportunities with clear, easy techniques and results. Paired Sample T Test. Chi Square Test.
When an organization implements a Citizen Data Scientist initiative, it can leverage Assisted PredictiveModeling and provide advantages to the business users.’ You can explore more business use cases for a variety of business functions and industries here: Predictive Analytics Use Cases For Citizen Data Scientists.
Model interpretability is one of five main components of model governance. The complete list is shown below: Model Lineage . Model Visibility. Model Explainability. Model Interpretability. Model Reproducibility. In this article, we explore model governance, a function of ML Operations (MLOps).
In this article, we focus on the process of building and using a PMML model and how to simplify the execution of this process so that your users can get the most out of the process and achieve their goals. The PMML or PredictiveModel Markup Language is an XML-based predictivemodel interchange format.
In this article, we will explain how to execute five statistical techniques using Python. Linear regression is a form of supervised learning (or predictivemodeling). In supervised learning, the dependent variable is predicted from the combination of independent variables. Statistics and programming go hand in hand.
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 predictionmodel in the GPT-n series. Believe me.”.
This article will discuss the technologies DataRobot uses to help ensure trust in the AI systems built on our platform. We’ll focus on evaluating a model for biased behavior, which can occur during the training process or after it has been deployed in a production environment. . Watch webinar with DataCamp on Responsible AI.
In this article, we will focus on the identification and exploration of data patterns and the trends that data reveals. The business can use this information for forecasting and planning, and to test theories and strategies. In this article, we have reviewed and explained the types of trend and pattern analysis.
This article looks at the ARIMAX Forecasting method of analysis and how it can be used for business analysis. An Autoregressive Integrated Moving Average with Explanatory Variable (ARIMAX) model can be viewed as a multiple regression model with one or more autoregressive (AR) terms and/or one or more moving average (MA) terms.
This article presents a brief explanation of Outliers, and how this type of analysis is used. The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.
PredictiveModeling to support business needs, forecast, and test theories. In this article, we will discuss the importance of Business Intelligence and Augmented Analytics and a few select factors the business should consider when choosing a service provider or vendor solution. Assisted PredictiveModeling.
This article provides a brief explanation of the ARIMA method of analytical forecasting. Autoregressive Integrated Moving Average (ARIMA) predicts future values of a time series using a linear combination of its past values and a series of errors. ’ The ARIMA model is suggested for short term forecasting.
This article provides a brief explanation of the Holt-Winters Forecasting model and its application in the business environment. Time series forecasting methods are used to extract and analyze data and statistics and characterize results to more accurately predict the future based on historical data.
This article summarizes our recent article series on the definition, meaning and use of the various algorithms and analytical methods and techniques used in predictive analytics for business users, and in augmented data preparation and augmented data discovery tools. Use Case(s): Weather Forecasting, Fraud Analysis and more.
The problem is that a new unique identifier of a test example won’t be anywhere in the tree. Feature extraction means moving from low-level features that are unsuitable for learning—practically speaking, we get poor testing results—to higher-level features which are useful for learning. Separate out a hold-out test set.
This article explains the Karl Pearson Correlation method of analysis, and how it can be applied in business. The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.
This article describes the Simple Linear Regression method of analysis. The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.
This article discusses the analytical method of Hierarchical Clustering and how it can be used within an organization for analytical purposes. What is Hierarchical Clustering?
This article describes the analytical technique of multiple linear regression. The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.
This article will help you gather information about the topic of augmented analytics. Augmented Analytics vs Predictive Analytics is not really a question. Maybe you just want to understand the analytics solution market better. The world renowned technology research firm, Gartner, defines augmented analytics in this way.
This article provides a brief explanation of the KMeans Clustering algorithm. The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.
This article provides a brief definition of the multinomial-logistic regression classification algorithm and its uses and benefits. What is the Multinomial-Logistic Regression Classification Algorithm?
This article provides a brief explanation of the FP Growth technique of Frequent Pattern Mining. The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.
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