Towards AI

JUNE 19, 2024

Whether you need a foundational map for an app or a comprehensive dataset for business intelligence. – Algorithms: Support Vector Machines (SVM), Random Forest, Neural Networks. Satellite imagery is an important tool for visualizing ground situations. – Algorithms: K-means Clustering, ISODATA.

Algorithm 81

Algorithm Clustering Support Vector Machines Machine Learning 81

How to Learn Machine Learning

DECEMBER 15, 2024

Course Highlights: Detailed exploration of supervised and unsupervised learning In-depth coverage of linear regression, logistic regression, and neural networks Advanced topics including support vector machines and anomaly detection Practical implementation using MATLAB/Octave Insights into machine learning best practices and optimization techniques (..)

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

Dataconomy

JUNE 13, 2023

AI algorithm selection and training Depending on the nature of the decision problem, appropriate artificial intelligence algorithms are selected. These may include machine learning algorithms like neural networks, decision trees, support vector machines, or reinforcement learning.

Power BI 103

Power BI Data Analysis Data Analysis Artificial Intelligence 103

AWS Machine Learning Blog

FEBRUARY 25, 2025

Classification algorithms like support vector machines (SVMs) are especially well-suited to use this implicit geometry of the data. A Computer Engineer with a Masters degree in Data Science, Jordis trajectory includes roles as a Business Intelligence developer, Machine Learning engineer, and lead developer in Datalab.

Algorithm 84

Algorithm Machine Learning Machine Learning K-nearest Neighbors 84

Data Science Blog

OCTOBER 20, 2024

Moreover, random forest models as well as support vector machines (SVMs) are also frequently applied. Gradient boosting also provides a popular ensemble technique that is often used for unbalanced data, which is quite common in attribution data.

Machine Learning 130

Machine Learning Machine Learning Deep Learning Deep Learning 130

IBM Journey to AI blog

AUGUST 28, 2023

As it pertains to social media data, text mining algorithms (and by extension, text analysis) allow businesses to extract, analyze and interpret linguistic data from comments, posts, customer reviews and other text on social media platforms and leverage those data sources to improve products, services and processes. How does text mining work?

Machine Learning 68

Machine Learning Machine Learning Data Mining Data Mining 68

Pickl AI

SEPTEMBER 10, 2024

Business Intelligence It helps in deriving insights from input data, allowing businesses to make data-driven decisions by classifying and analysing data points. More advanced classifiers like support vector machines and neural networks have greater representational power and can learn non-linear decision boundaries.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52