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Eduardo Freitas
Businesses are moving to an instantaneous and digital world, but we will still need physical documents for quite some time. In this course, Extracting Text and Data with Amazon Textract, you will learn to use OCR technology to extract text, and key-value...
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Businesses are moving to an instantaneous and digital world, but we will still need physical documents for quite some time. In this course, Extracting Text and Data with Amazon Textract, you will learn to use OCR technology to extract text, and key-value pairs of data from scanned documents. First, you will explore how to detect printed text and numbers in a scan or rendering of a document. Next, you will discover how to detect key-value pairs in document images automatically so that they can retain the inherent context of the document without any manual intervention. Finally, you will learn how to preserve the composition of data stored in tables during extraction. When finished with this course, you will have the skills and knowledge of how to use Amazon Textract to create smart search indexes, build automated approval workflows, and better maintain compliance with document archival rules by flagging data that may require manual input, as well as being able to export data contained within those documents to other systems.
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Provides a solid foundation in Amazon Textract, which can help learners build on this technology for their own projects and needs
Applicable to diverse industries and use cases, empowering learners to find new applications for this technology
Taught by Eduardo Freitas, an experienced instructor recognized for expertise in the field
May require prior experience with OCR technologies or related concepts, potentially posing a barrier for complete beginners
Emphasizes the practical use of Amazon Textract but may not provide a comprehensive overview of the theoretical underpinnings of OCR technology
Primarily focuses on Amazon Textract, limiting exposure to other OCR technologies and tools

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Career center

Learners who complete Extracting Text and Data with Amazon Textract will develop knowledge and skills that may be useful to these careers:
Records Manager
Records Managers oversee the creation, maintenance, and destruction of records. This course, Extracting Text and Data with Amazon Textract, provides Records Managers with the skills they need to preserve the composition of data stored in tables during extraction. This can help them better manage and preserve records.
Digital Archivist
Digital Archivists preserve and manage digital information. Ensuring data reliability is a key part of their role. This course, Extracting Text and Data with Amazon Textract, provides Digital Archivists with the skills they need to preserve the composition of data stored in tables during extraction. This can help them better preserve the integrity and accuracy of digital information.
Information Security Analyst
Information Security Analysts design and implement security measures to protect information systems from unauthorized access, use, disclosure, disruption, modification, or destruction. This course, Extracting Text and Data with Amazon Textract, provides Information Security Analysts with the skills they need to better protect data from unauthorized access, use, disclosure, disruption, modification, or destruction.
Compliance Officer
Compliance Officers ensure that organizations comply with laws and regulations. This course, Extracting Text and Data with Amazon Textract, provides Compliance Officers with the skills they need to better identify and flag data that may require manual input, which can help them ensure compliance with document archival rules.
Data Analyst
Data Analysts use their skills to translate raw data into actionable insights. They help organizations make informed decisions about their products, services, and operations. This course, Extracting Text and Data with Amazon Textract, provides Data Analysts with the skills they need to extract valuable insights from unstructured data sources.
Technical Writer
Technical Writers create and maintain technical documentation. This course, Extracting Text and Data with Amazon Textract, provides Technical Writers with the skills they need to extract valuable data from unstructured sources, which can be used to create more accurate and informative technical documentation.
Data Scientist
Data Scientists use their skills to extract insights from data. They help organizations make informed decisions about their products, services, and operations. This course, Extracting Text and Data with Amazon Textract, provides Data Scientists with the skills they need to extract valuable data from unstructured sources.
Business Analyst
Business Analysts help organizations improve their performance by identifying and solving business problems. This course, Extracting Text and Data with Amazon Textract, provides Business Analysts with the skills they need to extract valuable data from unstructured sources, which can be used to improve decision-making and optimize business processes.
Forensic Analyst
Forensic Analysts investigate digital crimes. This course, Extracting Text and Data with Amazon Textract, provides Forensic Analysts with the skills they need to extract valuable data from unstructured sources, which can be used to investigate digital crimes.
Machine Learning Engineer
Machine Learning Engineers design and develop machine learning models. They help organizations automate tasks and make better decisions. This course, Extracting Text and Data with Amazon Textract, provides Machine Learning Engineers with the skills they need to extract valuable data from unstructured sources, which can be used to develop more accurate and efficient machine learning models.
Database Administrator
Database Administrators are responsible for the maintenance and performance of databases. This course, Extracting Text and Data with Amazon Textract, provides Database Administrators with the skills they need to extract valuable data from unstructured sources, which can be used to improve the performance and efficiency of databases.
Information Architect
Information Architects design and organize information systems to make information more accessible and usable. This course, Extracting Text and Data with Amazon Textract, provides Information Architects with the skills they need to extract valuable data from unstructured sources, which can be used to improve the design and organization of information systems.
Software Engineer
Software Engineers design, develop, and maintain software applications. This course, Extracting Text and Data with Amazon Textract, provides Software Engineers with the skills they need to extract valuable data from unstructured sources, which can be used to develop more efficient and effective software applications.
Data Processing Manager
Data Processing Managers oversee the processes by which raw data is transformed into valuable, reliable information. Building automated approval workflows is an essential part of the data processing ecosystem. This course, Extracting Text and Data with Amazon Textract, may be useful for Data Processing Managers who want to improve the efficiency and accuracy of their data processing workflows.
Instructional Designer
Instructional Designers create and develop learning materials. This course, Extracting Text and Data with Amazon Textract, may be useful for Instructional Designers who want to create more engaging and interactive learning materials that include valuable data from unstructured sources.

Reading list

We've selected 14 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Extracting Text and Data with Amazon Textract.
This textbook provides a comprehensive overview of deep learning, covering topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks. It valuable resource for students and practitioners in the field of deep learning.
This textbook provides a comprehensive overview of deep learning for natural language processing, covering topics such as word embeddings, convolutional neural networks, and recurrent neural networks. It valuable resource for students and practitioners in the field of natural language processing.
This textbook provides a practical guide to search engines, covering topics such as crawling, indexing, and ranking. It valuable resource for practitioners in the field of search engines who want to learn about the latest advances in the field.
Provides a practical guide to machine learning, covering topics such as supervised learning, unsupervised learning, and reinforcement learning. It valuable resource for practitioners in the field of machine learning who want to learn about the latest advances in the field.
This textbook provides a comprehensive overview of statistical learning, covering topics such as linear regression, logistic regression, and decision trees. It valuable resource for students and practitioners in the field of machine learning.
This textbook provides a comprehensive overview of computer vision, covering topics such as image formation, feature detection, object recognition, and image segmentation. It valuable resource for students and practitioners in the field of computer vision.
This textbook provides a comprehensive overview of speech and language processing, covering topics such as phonetics, phonology, and semantics. It valuable resource for students and practitioners in the field of speech and language processing.
This textbook provides a comprehensive overview of information retrieval, covering topics such as text processing, indexing, and ranking. It valuable resource for students and practitioners in the field of information retrieval who want to learn about the latest advances in the field.
Provides a practical guide to natural language processing with Python, covering topics such as tokenization, stemming, and parsing. It valuable resource for practitioners in the field of natural language processing who want to learn about the latest advances in the field.
This textbook provides a comprehensive overview of pattern recognition and machine learning, covering topics such as supervised learning, unsupervised learning, and reinforcement learning. It valuable resource for students and practitioners in the field of machine learning.
This textbook provides a practical guide to data mining, covering topics such as data preprocessing, feature selection, and model evaluation. It valuable resource for practitioners in the field of data mining who want to learn about the latest advances in the field.
This textbook provides a concise introduction to computational linguistics, covering topics such as natural language processing, machine learning, and artificial intelligence. It valuable resource for students and practitioners in the field of computational linguistics who want to learn about the latest advances in the field.

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