AWS Machine Learning Blog

NOVEMBER 15, 2024

Oil and gas data analysis – Before beginning operations at a well a well, an oil and gas company will collect and process a diverse range of data to identify potential reservoirs, assess risks, and optimize drilling strategies. Consider a financial data analysis system. What caused inflation in 2021?

Database 113

Database SQL Data Analysis Data Analysis 113

IBM Journey to AI blog

DECEMBER 20, 2023

Classification algorithms —predict categorical output variables (e.g., “junk” or “not junk”) by labeling pieces of input data. Classification algorithms include logistic regression, k-nearest neighbors and support vector machines (SVMs), among others.

Machine Learning 92

Machine Learning Machine Learning Supervised Learning Clustering 92

PyImageSearch

JUNE 19, 2023

Each service uses unique techniques and algorithms to analyze user data and provide recommendations that keep us returning for more. By the end of the lesson, readers will have a solid grasp of the underlying principles that enable these applications to make suggestions based on data analysis. This is described in Table 1.

K-nearest Neighbors 56

K-nearest Neighbors Clustering Algorithm Deep Learning 56

Mlearning.ai

JULY 6, 2023

2022’s paper. Hence it is possible to train the downstream task with a few labeled data. 2022 Deep learning notoriously needs a lot of data in training. However, in remote sensing, getting a sufficient number of labeled data remains a challenge. 2022 Figure 3. 2022 Figure 4. Image: Wang et al.,

Supervised Learning 52

Supervised Learning Deep Learning Deep Learning K-nearest Neighbors 52

Pickl AI

SEPTEMBER 3, 2023

CAGR during 2022-2030. An ensemble of decision trees is trained on both normal and anomalous data. k-Nearest Neighbors (k-NN): In the supervised approach, k-NN assigns labels to instances based on their k-nearest neighbours. Billion which is supposed to increase by 35.6%

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Algorithm 52

Pickl AI

NOVEMBER 18, 2024

billion in 2022 and is expected to grow significantly, reaching USD 505.42 K-Nearest Neighbors), while others can handle large datasets efficiently (e.g., It offers extensive support for Machine Learning, data analysis, and visualisation. The global Machine Learning market was valued at USD 35.80

Machine Learning 52

Machine Learning Machine Learning Decision Trees Algorithm 52

Dataconomy

SEPTEMBER 1, 2023

Heart disease stands as one of the foremost global causes of mortality today, presenting a critical challenge in clinical data analysis. Leveraging hybrid machine learning techniques, a field highly effective at processing vast healthcare data volumes is increasingly promising in effective heart disease prediction.

Decision Trees 195

Decision Trees Machine Learning Machine Learning Support Vector Machines 195