AWS Machine Learning: Building an Expense Tracker Using Amazon Textract

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Carlos Rivas

24:03

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01.01-machine learning for optical character recognition.mp4

00:58

02.01-textract concepts.mp4

01:50

02.02-aws textract overview.mp4

01:48

02.03-expense tracker architecture.mp4

01:06

03.01-implementing an aws blueprint to integrate lambda with s3.mp4

02:16

03.02-using s3 uploads to trigger a lambda function.mp4

02:04

03.03-integrating textract into the python lambda.mp4

00:37

03.04-using textract in python to process an image.mp4

02:35

04.01-parsing textract metadata to get the required information.mp4

01:53

04.02-using regular expressions to find the desired values.mp4

01:17

04.03-looking for keywords within the extracted text.mp4

01:44

05.01-updating json file with the current receipt total.mp4

00:45

05.02-using s3 as persistent storage for receipt details.mp4

01:55

05.03-validating and summarizing several executions of the code.mp4

02:30

06.01-next steps.mp4

00:45

Ex Files AWS Textract.zip

Description

If you’ve ever used an optical character recognition (OCR) program, you know that scanning documents for text can often be hit or miss. If you’re a developer working on an app that's dependent on accurate text scanning, say for an expense report, hit or miss just won’t cut it. In this project-based course, Carlos Rivera shows you how to use Amazon Textract to analyze scanned documents and convert them to text. Textract eliminates the complexity of having to train machine learning models from scratch to perform data capture tasks. And as Carlos points out, the program not only recognizes text, but it also considers the layout of the scanned document. Follow along with Carlos as he creates a serverless expense tracker that reads text from images using Textract, starting with the basic jargon of the program, through project implementation, and then implementing Textract.

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Machine Learning

Amazon AWS

Carlos Rivas

Instructor's Courses

Software Development has been my craft for over 2 decades. In recent years, I was introduced to the world of "Infrastructure as Code" and Cloud Computing. I loved it! -- it re-sparked my interest in staying on the cutting edge of technology. Colleagues regard me as a mentor and leader in my areas of expertise and also as the person to call when production servers crash and we need the App back online quickly. My primary skills are: ★ Software Development ( Java, PHP, Python and others ) ★ Cloud Computing Design and Implementation ★ DevOps: Continuous Delivery and Integration Going forward, I see myself helping organizations develop and deploy highly-available, scalable software solutions. Let's connect: Email me. ✉ [email protected] " Never Stop Learning! "

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