Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Which is your favorite Machine Learning algorithm? This question was originally answered on Quora by Carlos Guestrin.

This video explains the entire maths and the algorithm behind What is Linear Regression in Machine Learning. Don't wonder ! But Learn !

The primary goal of a linear regression training algorithm is to compute coefficients that make the difference between reality and the model’s predictions consistently small.

In this online data science specialization, you will apply machine learning algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Beginning ...

Specialization: Machine LearningInstructor: Geena Kim, Assistant Teaching ProfessorPrior knowledge needed: Calculus, Linear algebra, PythonLearning Outcomes Explain what unsupervised learning is, and ...

MicroAlgo Inc.'sBitcoin trading prediction algorithm based on machine learning and technical indicators plays a crucial role in the construction of the technical foundation with data processing ...

EHR data may be particularly suitable for machine learning (ML) techniques, as such algorithms can process high-dimensional data and capture nonlinear relationships between variables. By comparison, ...