Dive into the world of machine learning with Josh Mesout. This video is a great starting point for beginners, offering a practical approach to understanding and applying machine learning concepts.

Follow along as Josh demonstrates setting up a machine learning environment on Civo and explores a PyTorch notebook for handwriting recognition. Whether you're coding along or just watching, this session is packed with useful tips and resources for your machine learning journey. Don't forget to check out our GitHub repository for additional materials and join the conversation in the comments!

GitHub Repo -► https://github.com/jmesout/civo-kubeflow-demo
Learn more about Civo Navigate here-► https://www.civo.com/navigate

00:00 - Introduction and Overview

00:31 - Setting Up the Machine Learning Environment

01:02 - Introduction to Handwriting Recognition Example

02:01 - Accessing Civo.com for Live Demonstration

04:58 - Account Setup and Preparation for the Session

06:04 - Basic Concepts of Machine Learning and Audience Interaction

07:53 - In-depth Explanation of the Handwriting Recognition Model

11:03 - Python Environment and Dependency Management

13:00 - Defining Model Parameters and Hyperparameter Optimization

20:24 - Visualizing and Adjusting Model Parameters

27:14 - Building and Understanding the Neural Network Structure

34:00 - Training and Testing Functions in the Model

37:52 - Initiating and Running the Training Loop

49:56 - Analyzing Results: Accuracy and Loss Over Epochs

57:28 - Final Remarks and Q&A Session