Beginning Machine Learning with AWS

More Information
Learn
  • Get up and running with machine learning on the AWS platform
  • Analyze unstructured text using AI and Amazon Comprehend
  • Create a chatbot and interact with it using speech and text input
  • Retrieve external data via your chatbot
  • Develop a natural language interface
  • Apply AI to images and videos with Amazon Rekognition
About

Machine Learning with AWS is the right place to start if you are a beginner interested in learning useful artificial intelligence (AI) and machine learning skills using Amazon Web Services (AWS), the most popular and powerful cloud platform. You will learn how to use AWS to transform your projects into apps that work at high speed and are highly scalable. From natural language processing (NLP) applications, such as language translation and understanding news articles and other text sources, to creating chatbots with both voice and text interfaces, you will learn all that there is to know about using AWS to your advantage. You will also understand how to process huge numbers of images fast and create machine learning models.

By the end of this course, you will have developed the skills you need to efficiently use AWS in your machine learning and artificial intelligence projects.

Features
  • Explore popular AI and ML services with their underlying algorithms
  • Use the AWS environment to manage your AI workflow
  • Reinforce key concepts with hands-on demos using real-world datasets
Course Length 2 hours 22 minutes
ISBN 9781789954265
Date Of Publication 22 Jan 2019

Authors

Jeffrey Jackovich

Jeffrey Jackovich is a curious data scientist with a background in health-tech and mergers and acquisitions. He has extensive business-oriented healthcare knowledge but enjoys analyzing all types of data with R and Python. He loves the challenges involved in the data science process, and his ingenious demeanor was tempered while serving as a Peace Corps volunteer in Morocco. He is completing a master's of science in computer information systems from Boston University, with a data analytics concentration..

Ruze Richards

Ruze Richards is a data scientist and cloud architect who has spent most of his career building high-performance analytics systems for enterprises and startups. He is passionate about AI and machine learning. He began his career as a physicist, felt excited about neural networks, and started working at AT&T Bell Labs to further pursue this area of interest. He is thrilled to spread the knowledge and help people achieve their goals.

Kesha Williams

Kesha Williams is a software engineer with over 20 years of experience in web application development. She is specialized in working with Java, Spring, Angular, and Amazon Web Services (AWS). She has trained and mentored thousands of developers in the US, Europe, and Asia while teaching Java at the university level. She has won the Ada Lovelace Award in Computer Engineering from LookFar and the Think Different Innovation Award from Chick-fil-A for working with emerging technologies and artificial intelligence.