Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 1.5 GB
Genre: eLearning Video | Duration: 37 lectures (3 hours, 42 mins) | Language: English
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. This interactive liveVideo course gives you a crash course in using AWS for machine learning, teaching you how to build a fully-working predictive algorithm.
About the subject Homepage: https://www.manning.com/livevideo/aws-machine-learning-in-motion
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
About the instructor
Kesha Williams is a software engineer with over 20 years' experience specializing in application development using Java, Angular, and Amazon Web Services. Also honored as an Amazon Alexa Champion, she has developed several popular Alexa skills and speaks is the Alexa conference 2019 keynote speaker. Kesha trains and mentors thousands of software engineers in the US, Europe, and Asia while teaching technology courses at the university level.
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