Towards AI

APRIL 7, 2024

Created by the author with DALL E-3 Statistics, regression model, algorithm validation, Random Forest, K Nearest Neighbors and Naïve Bayes— what in God’s name do all these complicated concepts have to do with you as a simple GIS analyst? For example, it takes millions of images and runs them through a training algorithm.

Machine Learning 84

Machine Learning Machine Learning K-nearest Neighbors Supervised Learning 84

Smart Data Collective

JUNE 4, 2021

Data scientists use algorithms for creating data models. Whereas in machine learning, the algorithm understands the data and creates the logic. Learning the various categories of machine learning, associated algorithms, and their performance parameters is the first step of machine learning. Clustering (Unsupervised).

Data Science 105

Data Science Exploratory Data Analysis Machine Learning Machine Learning 105

The MLOps Blog

MARCH 21, 2023

Orchestrators are concerned with lower-level abstractions like machines, instances, clusters, service-level grouping, replication, and so on. The most important requirement you need to incorporate into your platform for this vertical is the regulation of data and algorithms.

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69