Machine

Udemy – Machine Learning for Kids and Beginners

Udemy – Machine Learning for Kids and Beginners
English | Size: 1.19 GB
Category: Tutorial


Who this course is for?
Anyone curious about understanding how Machine Learning process works
For kids (learn on your own), for teachers, or for parents working with children ages 8 – 16
Perfect for homeschooling parents or K-12 parents and teachers who would like to give their students the most fun experience by introducing Artificial Intelligence and Machine Learning

Packt – Machine Learning For Absolute Beginners Level 3

Packt – Machine Learning For Absolute Beginners Level 3-QUiD
English | Size: 1.18 GB
Category: Tutorial


Master the fundamentals of Matplotlib and Seaborn libraries and apply your skills to perform data visualization and exploratory data analysis (EDA)

Cluster Analysis & Unsupervised Machine Learning in R

Cluster Analysis & Unsupervised Machine Learning in R
English | Size: 1.71 GB
Category: Tutorial


Cluster analysis is one of the most used techniques to segment data in a multivariate analysis. It is an example of unsupervised machine learning and has widespread application in business analytics. Cluster analysis is a method of grouping a set of objects similar to each other. Precisely, it tries to identify homogeneous groups of cases such as observations, participants, and respondents. In this post, I will take you through the two most important clustering techniques using R. These are:

Packt – Mastering Azure Machine Learning 2020 RETAiL ePub eBook

Packt – Mastering Azure Machine Learning 2020 RETAiL ePub eBook-LiBRiCiDE
English | Size: 9.91 MB
Category: Tutorial


Packt Publishing – Mastering Azure Machine Learning: Perform Large Scale End-To-End Advanced Machine Learning On Cloud With Microsoft Azure
The increase being seen in data volume today requires distributed systems, powerful algorithms, and scalable cloud infrastructure to compute insights and train and deploy machine learning (ML) models. This book will help you improve your knowledge of building ML models using Azure and end-to-end ML pipelines on the cloud.