Dataconomy

AUGUST 31, 2023

Examples of binary classification include spam vs. not spam emails, fraudulent vs. legitimate financial transactions, and disease vs. not disease medical diagnoses. This type of problem is more challenging because the model needs to learn more complex relationships between the input features and the multiple classes.

Machine Learning 137

Machine Learning Machine Learning Supervised Learning Algorithm 137

IBM Journey to AI blog

DECEMBER 20, 2023

Each type and sub-type of ML algorithm has unique benefits and capabilities that teams can leverage for different tasks. What is machine learning? Instead of using explicit instructions for performance optimization, ML models rely on algorithms and statistical models that deploy tasks based on data patterns and inferences.

Machine Learning 92

Machine Learning Machine Learning Supervised Learning Clustering 92

IBM Journey to AI blog

AUGUST 1, 2023

Together with data stores, foundation models make it possible to create and customize generative AI tools for organizations across industries that are looking to optimize customer care, marketing, HR (including talent acquisition) , and IT functions.

AI 70

AI AI Machine Learning Machine Learning 70

Mlearning.ai

NOVEMBER 29, 2023

All the previously, recently, and currently collected data is used as input for time series forecasting where future trends, seasonal changes, irregularities, and such are elaborated based on complex math-driven algorithms. The downside of overly time-consuming supervised learning, however, remains.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Pickl AI

DECEMBER 4, 2024

In this blog post, we will delve deeper into the workings of the Perceptron, its architecture, its learning process, and its applications in real-world scenarios. Key Takeaways A Perceptron mimics biological neurons for data classification. Learning involves adjusting weights based on prediction errors.

Machine Learning 52

Machine Learning Machine Learning Supervised Learning Data Classification 52

AWS Machine Learning Blog

MARCH 27, 2025

In this post, we explore how you can use Amazon Bedrock to generate high-quality categorical ground truth data, which is crucial for training machine learning (ML) models in a cost-sensitive environment. This ground truth data is necessary to train the supervised learning model for a multiclass classification use case.

AWS 87

AWS ETL ML ML 87