YoVDO

Neo4J GDS: Node Embeddings Algorithms for Data Science and Machine Learning

Offered By: The Machine Learning Engineer via YouTube

Tags

Neo4j Courses Data Science Courses Machine Learning Courses Graph Algorithms Courses K-Nearest Neighbors Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Learn how to create embeddings in Neo4J using the Graph Data Science (GDS) library in this 26-minute video tutorial. Explore node embedding algorithms for data science and machine learning applications. Access accompanying Jupyter notebooks to follow along and practice implementing FastRP and KNN techniques. Gain hands-on experience with graph-based embeddings to enhance your data analysis and machine learning projects using Neo4J.

Syllabus

Neo4J GDS: Node embeddings Algorithms #datascience #machinelearning


Taught by

The Machine Learning Engineer

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity
Natural Language Processing
Columbia University via Coursera
Probabilistic Graphical Models 1: Representation
Stanford University via Coursera
Computer Vision: The Fundamentals
University of California, Berkeley via Coursera
Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent