Dataconomy

APRIL 25, 2025

The prototype model in machine learning is an essential approach that empowers data scientists to develop and refine machine learning models efficiently. What is the prototype model in machine learning? What is model prototyping? Emphasizing continuous improvement is vital.

Machine Learning 116

Machine Learning Machine Learning Cross Validation Data Scientist 116

Dataconomy

APRIL 29, 2025

Model fairness in AI and machine learning is a critical consideration in todays data-driven world. What is model fairness in AI and machine learning? Definition of model fairness Model fairness is concerned with preventing AI predictions from reinforcing existing biases.

Machine Learning 103

Machine Learning Machine Learning AI AI 103

Dataconomy

APRIL 29, 2025

Precision in Machine Learning is a pivotal concept that significantly impacts how predictive models are evaluated. What is precision in machine learning? It helps to assess the performance of machine learning models, particularly in situations where the consequences of false positives can be severe.

Machine Learning 91

Machine Learning Machine Learning 91

Dataconomy

MARCH 21, 2025

Bagging in machine learning is an innovative approach that significantly boosts the accuracy and stability of predictive models. What is bagging in machine learning? What is bagging in machine learning? Improved accuracy: By combining predictions, it leads to lower overall error rates.

Machine Learning 91

Machine Learning Machine Learning Decision Trees Algorithm 91

IBM Data Science in Practice

MARCH 8, 2023

Feature Platforms — A New Paradigm in Machine Learning Operations (MLOps) Operationalizing Machine Learning is Still Hard OpenAI introduced ChatGPT. The growth of the AI and Machine Learning (ML) industry has continued to grow at a rapid rate over recent years.

Machine Learning 264

Machine Learning Machine Learning ML ML 264

Dataconomy

MARCH 28, 2025

Automated machine learning (AutoML) is revolutionizing the way organizations approach the development of machine learning models. By streamlining and automating key processes, it enables both seasoned data scientists and newcomers to harness the power of machine learning with greater ease and efficiency.

Machine Learning 103

Machine Learning Machine Learning Data Scientist ML 103

Flipboard

JUNE 16, 2025

Transformer Architecture Definition : The transformer is the foundation of large language models. Self-Attention Definition : If there is a type of component within the transformer architecture that is mainly responsible for the success of LLMs, that is the self-attention mechanism.

Natural Language Processing 135

Natural Language Processing Data Science Machine Learning Machine Learning 135

Flipboard

DECEMBER 26, 2024

We finally have a real definition of the elusive "AGI." OpenAI and Microsoft have a secret definition for AGI, an acronym for artificial general

Computer Science 182

Computer Science Computer Science Artificial Intelligence Artificial Intelligence 182

Flipboard

JUNE 12, 2025

Part 2: Linear Algebra Every machine learning algorithm youll use relies on linear algebra. Part 3: Calculus When you train a machine learning model, it learns the optimal values for parameters by optimization. You dont need to master calculus before starting machine learning – learn it as you need it.

Data Science 150

Data Science Natural Language Processing Hypothesis Testing Machine Learning 150

insideBIGDATA

NOVEMBER 23, 2023

Phrasee, a leading innovator in brand language optimization, just released a new white paper "The Definitive Guide to Large Language Models and High-Performance Marketing Content," on how enterprise marketers can build an in-house LLM solution and use it at its full potential.

Deep Learning 221

Deep Learning Deep Learning Data Science AI 221

Towards AI

MAY 15, 2025

Regression vs Classification in Machine Learning Why Most Beginners Get This Wrong | M004 If youre learning Machine Learning and think supervised learning is straightforward, think again. Not just the textbook definitions, but the thinking process behind choosing the right type of model.

Machine Learning 81

Machine Learning Machine Learning Supervised Learning ML 81

Flipboard

MAY 15, 2025

The true story behind the chaos at OpenAI In the summer of 2023, Ilya Sutskever, a co-founder and the chief scientist of OpenAI, was meeting with a group of new researchers at the company. By all traditional metrics, Sutskever should have felt invincible: He was the brain behind the large language

Artificial Intelligence 182

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 182

Flipboard

JUNE 3, 2025

This post showcases how the TSBC built a machine learning operations (MLOps) solution using Amazon Web Services (AWS) to streamline production model training and management to process public safety inquiries more efficiently. The pipeline definition is saved and modified for production. in British Columbia.

Machine Learning 70

Machine Learning Machine Learning AWS Data Scientist 70

Dataconomy

MAY 8, 2025

Regularization in machine learning plays a crucial role in ensuring that models generalize well to new, unseen data. What is regularization in machine learning? Understanding overfitting Overfitting happens when a model learns not just the underlying trends in the training data but also the noise.

Machine Learning 113

Machine Learning Machine Learning Algorithm 113

Flipboard

APRIL 27, 2025

For instance, there are many different definitions of fairness in AI. Determining which definition applies requires consultation with the affected community, clients, and end users. We created a playbook providing the right tools for testing issues like bias and privacy. But understanding how to use these tools properly is crucial.

AI 175

AI AI Machine Learning Machine Learning 175

Dataconomy

APRIL 24, 2025

Model drift is a vital concept in machine learning that can significantly hamper the performance of predictive models. Model drift refers to the degradation in the accuracy and reliability of machine learning models due to shifts in the data over time.

Machine Learning 91

Machine Learning Machine Learning Predictive Analytics Analytics 91

ML @ CMU

SEPTEMBER 13, 2024

The answer inherently relates to the definition of memorization for LLMs and the extent to which they memorize their training data. However, even defining memorization for LLMs is challenging, and many existing definitions leave much to be desired. We argue that such a definition provides an intuitive notion of memorization.

Algorithm 327

Algorithm Machine Learning Machine Learning AI 327

Dataconomy

JUNE 12, 2025

It employs various statistical techniques to summarize and understand datasets, including: Definition and techniques: EDA encompasses methods like correlation analysis, regression modeling, and significance testing, enhancing the analyst’s understanding of data relationships.

Exploratory Data Analysis 91

Exploratory Data Analysis EDA Machine Learning Machine Learning 91

insideBIGDATA

NOVEMBER 30, 2023

Unfortunately, when asked to define RAG, the definitions are all over the place. In this contributed article, Magnus Revang, Chief Product Officer of Openstream.ai, points out that In the Large Language Model space, one acronym is frequently put forward as the solution to all the weaknesses. Hallucinations? Confidentiality?

Big Data 433

Big Data Big Data Deep Learning Deep Learning 433

KDnuggets

JUNE 13, 2022

Gain a beginner's perspective on artificial neural networks and deep learning with this set of 14 straight-to-the-point related key concept definitions.

Deep Learning 400

Deep Learning Deep Learning Machine Learning Machine Learning 400

Dataconomy

MAY 8, 2025

Open-source machine learning monitoring (OSMLM) plays a crucial role in the smooth and effective operation of machine learning models across various industries. What is open-source machine learning monitoring (OSMLM)? These tools help manage, oversee, and optimize machine learning models.

Machine Learning 113

Machine Learning Machine Learning ML ML 113

How to Learn Machine Learning

MAY 2, 2025

Welcome to this comprehensive guide on Azure Machine Learning , Microsoft’s powerful cloud-based platform that’s revolutionizing how organizations build, deploy, and manage machine learning models. This is where Azure Machine Learning shines by democratizing access to advanced AI capabilities.

Azure 52

Azure Machine Learning Machine Learning Data Science 52

Flipboard

DECEMBER 3, 2024

Apple uses custom Trainium and Graviton artificial intelligence chips from Amazon Web Services for search services, Apple machine learning and AI director Benoit Dupin said today at the AWS re:Invent conference (via CNBC). Dupin said that Amazon's AI chips are "reliable, definite, and able to serve …

Artificial Intelligence 176

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 176

Dataconomy

JUNE 17, 2025

Definition of an entity At its core, an entity signifies a distinct unit with independent existence. Entities in databases Within databases, entities are characterized by their definition as objects, such as people or locations. Definition of named entities Named entities are generally unique identifiers for single items in datasets.

Database 91

Database Natural Language Processing Machine Learning Machine Learning 91

Flipboard

APRIL 24, 2025

Reducing the prompt context to the in-focus data domain enables greater scope for few-shot learning examples, declaration of specific business rules, and more. Augmenting data with data definitions for prompt construction Several of the optimizations noted earlier require making some of the specifics of the data domain explicit.

SQL 146

SQL Database AWS ML 146

Dataconomy

APRIL 29, 2025

Probabilistic classification is a fascinating approach in machine learning that allows models to predict the likelihood of outcomes. Probabilistic classification is a machine learning paradigm where models generate probabilities instead of definitive class labels. What is probabilistic classification?

Machine Learning 91

Machine Learning Machine Learning Data Scientist 91

Analytics Vidhya

DECEMBER 1, 2021

Initially, we have the definition of Software […]. Components of Data Engineering Object Storage Object Storage MinIO Install Object Storage MinIO Data Lake with Buckets Demo Data Lake Management Conclusion References What is Data Engineering? The post How to Implement Data Engineering in Practice? appeared first on Analytics Vidhya.

Data Engineering 391

Data Engineering Data Engineering Data Engineer Data Engineering 391

Dataconomy

MARCH 6, 2025

Definition Continuous Validation is the ongoing assessment of code changes using automated testing methods to ensure that new additions do not introduce errors or degrade existing functionality. Definition Continuous Delivery allows teams to ensure code is deployable at any time by automating the release process.

Machine Learning 91

Machine Learning Machine Learning Database 91

Data Science Dojo

APRIL 25, 2023

Keep in mind that CREATE PROCEDURE must be invoked using EXEC in order to be executed, exactly like the function definition. Tom Hamilton Stubber The emergence of Quantum ML With the use of quantum computing, more advanced artificial intelligence and machine learning models might be created.

Data Scientist 370

Data Scientist SQL Machine Learning Machine Learning 370

Dataconomy

APRIL 4, 2025

This method aids in finding the optimal solution of a problem, making it essential for applications ranging from machine learning to finance. Definition and importance Convex optimization revolves around functions and constraints that exhibit specific properties.

Machine Learning 91

Machine Learning Machine Learning Support Vector Machines Algorithm 91

Dataconomy

APRIL 28, 2025

As technology continues to evolve, particularly in machine learning and natural language processing, the mechanisms of in-context learning are becoming increasingly sophisticated, offering personalized solutions that resonate with learners on multiple levels.

Natural Language Processing 91

Natural Language Processing Machine Learning Machine Learning Algorithm 91

Dataconomy

APRIL 21, 2025

Hyperparameter tuning plays a pivotal role in the success of machine learning models, enhancing their predictive accuracy and overall performance. As machine learning practitioners work to develop robust models, adjusting hyperparameters becomes essential. What is hyperparameter tuning?

Machine Learning 91

Machine Learning Machine Learning Algorithm 91

Dataconomy

APRIL 29, 2025

Independent and identically distributed data (IID) is a concept that lies at the heart of statistics and machine learning. This means that the outcome of one variable does not affect the outcomes of others, making IID a vital condition in many statistical analyses and machine learning models.

Machine Learning 91

Machine Learning Machine Learning Algorithm Data Science 91

Dataconomy

APRIL 17, 2025

Feature engineering is a vital aspect of machine learning that involves the creative and technical process of transforming data into a format that enhances model performance. The importance of feature engineering Feature engineering is crucial for improving the accuracy and reliability of machine learning models.

Machine Learning 91

Machine Learning Machine Learning Data Scientist Algorithm 91

Dataconomy

MARCH 11, 2025

The concept of a target function is an essential building block in the realm of machine learning, influencing how algorithms interpret data and make predictions. A target function describes the relationship between input data and the desired output in machine learning models.

Machine Learning 91

Machine Learning Machine Learning Deep Learning Deep Learning 91

Dataconomy

APRIL 29, 2025

Training-serving skew is a significant concern in the machine learning domain, affecting the reliability of models in practical applications. Training-serving skew refers to the differences between the datasets used to train machine learning models and the ones they encounter when deployed in real-world scenarios.

Machine Learning 91

Machine Learning Machine Learning Data Preparation Data Quality 91

Flipboard

NOVEMBER 7, 2024

Nvidia (NVDA) stock has soared on the tech giant's seemingly impregnable moat in artificial intelligence. But the spotlight on potential disrupters …

Artificial Intelligence 158

Artificial Intelligence Artificial Intelligence AI AI 158