By: Jeffrey Jackovich, Kesha Williams, Ruze Richards
Released: Tuesday, January 22, 2019 New Release!
Torrent Contains: 43 Files, 6 Folders
Course Source: https://www.packtpub.com/big-data-and-business-intelligence/beginning-machine-learning-aws

Explore the power of cloud services for your machine learning and artificial intelligence projects

Video Details

ISBN 9781789954265
Course Length 2 hours 22 minutes

Table of Contents

• INTRODUCTION TO AMAZON WEB SERVICES
• SUMMARIZING TEXT DOCUMENTS USING NLP
• PERFORM TOPIC MODELLING AND THEME EXTRACTION
• CREATING CHATBOT WITH NATURAL LANGUAGE
• USING SPEECH WITH THE CHATBOT
• ANALYZING IMAGES WITH COMPUTER VISION

Video Description

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.

What You Will 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

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..

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.

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