Dataconomy

MARCH 12, 2025

Support Vector Machines (SVM) are a type of supervised learning algorithm designed for classification and regression tasks. This decision boundary is crucial for achieving accurate predictions and effectively dividing data points into categories. What are Support Vector Machines (SVM)?

Support Vector Machines 91

Support Vector Machines Decision Trees Supervised Learning Machine Learning 91

Smart Data Collective

JUNE 7, 2019

For centuries before the existence of computers, humans have imagined intelligent machines that were capable of making decisions autonomously. At the early era of Artificial Intelligence, programmers tried to teach machines from the definition of logical rules that the machine itself could extend during the execution of the program.

Machine Learning 101

Machine Learning Machine Learning Supervised Learning Support Vector Machines 101

Towards AI

FEBRUARY 20, 2024

I am starting a series with this blog, which will guide a beginner to get the hang of the ‘Machine learning world’. Photo by Andrea De Santis on Unsplash So, What is Machine Learning? Definition says, machine learning is the ability of computers to learn without explicit programming.

Machine Learning 109

Machine Learning Machine Learning ML ML 109

Pickl AI

JANUARY 2, 2025

Summary: Entropy in Machine Learning quantifies uncertainty, driving better decision-making in algorithms. It optimises decision trees, probabilistic models, clustering, and reinforcement learning. Lets delve into its mathematical definition and key properties.

Machine Learning 52

Machine Learning Machine Learning Decision Trees Clustering 52

Pickl AI

NOVEMBER 18, 2024

Key Takeaways Machine Learning Models are vital for modern technology applications. Types include supervised, unsupervised, and reinforcement learning. Key steps involve problem definition, data preparation, and algorithm selection. Ethical considerations are crucial in developing fair Machine Learning solutions.

Machine Learning 52

Machine Learning Machine Learning Decision Trees Algorithm 52

Pickl AI

JULY 12, 2024

This section delves into its foundational definitions, types, and critical concepts crucial for comprehending its vast landscape. Machine Learning algorithms are trained on large amounts of data, and they can then use that data to make predictions or decisions about new data. classification, regression) and data characteristics.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

Mlearning.ai

NOVEMBER 29, 2023

The downside of overly time-consuming supervised learning, however, remains. Classic Methods of Time Series Forecasting Multi-Layer Perceptron (MLP) Univariate models can be used to model univariate time series prediction machine learning problems. In its core, lie gradient-boosted decision trees.

Machine Learning 52

Machine Learning Machine Learning ML ML 52