h264, yuv420p, 1280x720 |ENGLISH, aac, 48000 Hz, stereo, s16 | 3h 42 mn | 1.5 GB

Instructor: Kesha Williams

You can use machine learning for data analysis without mastering a lot of complex math, frameworks, and coding techniques. Machine learning services hosted on the Amazon Web Services cloud platform are a perfect way to get started even if you've never built a machine learning model before

You can use machine learning for data analysis without mastering a lot of complex math, frameworks, and coding techniques. Machine learning services hosted on the Amazon Web Services cloud platform are a perfect way to get started even if you've never built a machine learning model before

About the subject

AWS offers a suite of tools perfect for training and deploying your own ML models. Better yet, it comes with all the benefits developers love about AWS, with helpful support at your fingertips, security for every step, and the ability to pay for just what you need! It's perfect for developers who want to get the job done with minimal fuss.

About the video

See it. Do it. Learn it! This amazing liveVideo course will put your machine learning on the fast track! AWS Machine Learning in Motion gives you a complete tour of the essential tools, techniques, and concepts you need to do complex predictions and other data analysis using the AWS machine learning services!

In this interactive liveVideo course, you'll get started with cloud-based machine learning under the guidance of experienced software engineer and TED Speaker Kesha Williams. You'll cut through the theory and jargon as you build a working crime-fighting machine learning algorithm! Starting with a tour of AWS' tools and the basics of machine learning, you'll dive into the learning algorithms supported by AWS, such as linear regression, multinomial logistic regression, and logistic regression.

Then comes the really fun part! You'll get your hands dirty as you obtain and prepare a data set for your own machine learning model. You'll learn how to train the model to recognize patterns and optimize it to become more accurate. With engaging exercises throughout, you'll also practice with the AWS Lambda, Boto3, Quicksight, and IoT tools to build a completely serverless application that can make decisions based on real-time predictions!

You'll start to feel like Tom Cruise in Minority Report as your algorithm grows into something that can look at images and tell you if a crime is happening! With some basic Python skills and AWS Machine Learning in Motion, you can build it right now!

Prerequisites

Requires a beginner-level understanding of AWS and the Python programming language. No experience with machine learning is needed.

What you will learn

Machine learning in the cloud

Combining AWS Lambda and Python

Reviewing data with AWS QuickSight

Loading your data into AWS S3 for modelling

Generating and using predictions

Retraining ML models