ML @ CMU

MAY 12, 2023

Finetune : a common baseline for model personalization; IFCA / HypCluster : hard clustering of client models; Ditto : a recently proposed method for personalized FL. Privacy definition: There are a small number of clients, but each holds many data subjects, and client-level DP isn’t suitable.

Data Silos 130

Data Silos Algorithm ML ML 130

Pickl AI

MAY 31, 2023

Begin by employing algorithms for supervised learning such as linear regression , logistic regression, decision trees, and support vector machines. After that, move towards unsupervised learning methods like clustering and dimensionality reduction. It includes regression, classification, clustering, decision trees, and more.

Data Science 52

Data Science Python Data Scientist Machine Learning 52

Pickl AI

NOVEMBER 5, 2024

These statistics underscore the significant impact that Data Science and AI are having on our future, reshaping how we analyse data, make decisions, and interact with technology. Machine Learning Expertise Familiarity with a range of Machine Learning algorithms is crucial for Data Science practitioners.

Data Science 52

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 52

Mlearning.ai

MAY 23, 2023

There are majorly two categories of sampling techniques based on the usage of statistics, they are: Probability Sampling techniques: Clustered sampling, Simple random sampling, and Stratified sampling. Decision trees are more prone to overfitting. Some algorithms that have low bias are Decision Trees, SVM, etc.

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52

Pickl AI

MAY 30, 2024

It’s critical in harnessing data insights for decision-making, empowering businesses with accurate forecasts and actionable intelligence. Options include linear regression for continuous outcomes and decision trees for classification tasks. The choice impacts the model’s performance and accuracy.

Data Analysis 52

Data Analysis Data Analysis Data Science Exploratory Data Analysis 52

Pickl AI

OCTOBER 24, 2024

Summary: This article compares Artificial Intelligence (AI) vs Machine Learning (ML), clarifying their definitions, applications, and key differences. Definition of AI AI refers to developing computer systems that can perform tasks that require human intelligence. It is often used for clustering data into meaningful categories.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 52

Dataconomy

MARCH 28, 2025

Machine learning algorithms are specialized computational models designed to analyze data, recognize patterns, and make informed predictions or decisions. Definition and importance of machine learning algorithms The core value of machine learning algorithms lies in their capacity to process and analyze vast amounts of data efficiently.

Machine Learning 91

Machine Learning Machine Learning Algorithm K-nearest Neighbors 91

Dataconomy

MARCH 25, 2025

The decision boundary would be a line that separates these two groups, determining whether a new point falls into the cat or dog category based on its features. Definition of decision boundary The definition of a decision boundary is rooted in its functionality within classification algorithms.

Support Vector Machines 91

Support Vector Machines Machine Learning Machine Learning Clustering 91

How to Learn Machine Learning

MARCH 25, 2025

It helps business owners and decision-makers choose the right technique based on the type of data they have and the outcome they want to achieve. Let us now look at the key differences starting with their definitions and the type of data they use. In this case, every data point has both input and output values already defined.

Supervised Learning 59

Supervised Learning Machine Learning Machine Learning Algorithm 59

ML @ CMU

DECEMBER 2, 2024

Second, they extend the classification of positive definite kernels from Euclidean distances to Manhattan distances, offering a broader foundation for kernel methods.

Deep Learning 227

Deep Learning Deep Learning Machine Learning Machine Learning 227