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Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console.
Read more
This is a self-paced lab that takes place in the Google Cloud console.
Read more
This is a self-paced lab that takes place in the Google Cloud console.
In this lab you’ll combine the Cloud Vision, Natural Language, and Translation APIs to capture text strings from images, recognize characters, and analyze and translate the text strings into other languages.
Register for this course and see more details by visiting:
OpenCourser.com/course/6wzu09/extract
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What's inside
Syllabus
Extract, Analyze, and Translate Text from Images with the Cloud ML APIs
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops skills in Optical Character Recognition and Natural Language Processing, which are core tools for data analysis and interpretation
Taught by Google Cloud Training, who have built Google's Cloud Platform
Perfect for individuals working with unstructured data, such as images and text documents
Save this course
Save Extract, Analyze, and Translate Text from Images with the Cloud ML APIs to your list so you can find it easily later:
Save
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Extract, Analyze, and Translate Text from Images with the Cloud ML APIs with these
activities:
Review Computer Vision Fundamentals
Show steps
Solidify your understanding of core concepts in Computer Vision, ensuring a solid foundation for the course material.
Browse courses on
Computer Vision
Show steps
-
Revisit basic concepts like image representation, feature detection, and classification algorithms.
-
Complete tutorials on OpenCV or SimpleCV for hands-on experience with image processing techniques.
Brush Up on Natural Language Processing
Show steps
Refresh your knowledge of Natural Language Processing, ensuring familiarity with techniques for text analysis and feature extraction.
Browse courses on
Natural Language Processing
Show steps
-
Review core concepts like tokenization, stemming, and part-of-speech tagging.
-
Practice text classification or sentiment analysis using NLTK or spaCy.
Engage in Study Groups or Discussions
Show steps
Collaborate with peers to discuss course concepts, share insights, and work through problems together, enhancing your comprehension and retention.
Show steps
-
Join study groups or participate in online forums to connect with other learners.
-
Organize regular meetings to discuss specific topics, review assignments, or prepare for assessments.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Follow Hands-on Tutorials on Google Cloud APIs
Show steps
Gain practical experience using the Google Cloud APIs covered in the course, enhancing your understanding of their capabilities.
Browse courses on
Google Cloud Platform
Show steps
-
Complete the Google Cloud Quickstart tutorials for Vision, Language, and Translate APIs.
-
Follow along with code samples to perform basic tasks like image analysis, text extraction, and language translation.
Complete Practice Exercises on Natural Language Tasks
Show steps
Reinforce your understanding of Natural Language Processing techniques through practice exercises, improving your accuracy and efficiency.
Browse courses on
Natural Language Processing
Show steps
-
Solve practice problems on text classification, sentiment analysis, or named entity recognition using online platforms like Kaggle or HackerRank.
-
Participate in coding challenges or hackathons focused on Natural Language Processing tasks.
Develop a Python Script for Image Analysis
Show steps
Apply your skills by creating a Python script that uses the Cloud Vision API for image analysis, deepening your understanding of practical applications.
Browse courses on
Python Programming
Show steps
-
Design a Python script that integrates the Cloud Vision API for object detection or text recognition.
-
Implement the script to analyze images and extract information, such as object labels or text content.
Create a Blog Post or Video Tutorial on a Course Topic
Show steps
Solidify your understanding and share your knowledge by creating a blog post or video tutorial explaining a course topic, reinforcing your comprehension and potentially assisting others.
Show steps
-
Choose a specific topic from the course and research it thoroughly to deepen your understanding.
-
Develop an outline and gather relevant resources to support your explanation.
-
Create a well-written blog post or engaging video tutorial that clearly presents the topic.
Contribute to Open-Source Projects Related to Image Analysis or Natural Language Processing
Show steps
Apply your skills and contribute to the broader community by participating in open-source projects, deepening your understanding and expanding your network.
Browse courses on
Open Source
Show steps
-
Identify open-source projects on platforms like GitHub that align with your interests in image analysis or Natural Language Processing.
-
Review the project documentation and codebase, familiarizing yourself with the project goals and technical details.
-
Propose and implement new features or enhancements, contributing your skills and knowledge to the project.
Review Computer Vision Fundamentals
Show steps
Solidify your understanding of core concepts in Computer Vision, ensuring a solid foundation for the course material.
Browse courses on
Computer Vision
Show steps
Show steps
Show steps
- Revisit basic concepts like image representation, feature detection, and classification algorithms.
- Complete tutorials on OpenCV or SimpleCV for hands-on experience with image processing techniques.
Brush Up on Natural Language Processing
Show steps
Refresh your knowledge of Natural Language Processing, ensuring familiarity with techniques for text analysis and feature extraction.
Browse courses on
Natural Language Processing
Show steps
Show steps
Show steps
- Review core concepts like tokenization, stemming, and part-of-speech tagging.
- Practice text classification or sentiment analysis using NLTK or spaCy.
Engage in Study Groups or Discussions
Show steps
Collaborate with peers to discuss course concepts, share insights, and work through problems together, enhancing your comprehension and retention.
Show steps
Show steps
Show steps
- Join study groups or participate in online forums to connect with other learners.
- Organize regular meetings to discuss specific topics, review assignments, or prepare for assessments.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Follow Hands-on Tutorials on Google Cloud APIs
Show steps
Gain practical experience using the Google Cloud APIs covered in the course, enhancing your understanding of their capabilities.
Browse courses on
Google Cloud Platform
Show steps
Show steps
Show steps
- Complete the Google Cloud Quickstart tutorials for Vision, Language, and Translate APIs.
- Follow along with code samples to perform basic tasks like image analysis, text extraction, and language translation.
Complete Practice Exercises on Natural Language Tasks
Show steps
Reinforce your understanding of Natural Language Processing techniques through practice exercises, improving your accuracy and efficiency.
Browse courses on
Natural Language Processing
Show steps
Show steps
Show steps
- Solve practice problems on text classification, sentiment analysis, or named entity recognition using online platforms like Kaggle or HackerRank.
- Participate in coding challenges or hackathons focused on Natural Language Processing tasks.
Develop a Python Script for Image Analysis
Show steps
Apply your skills by creating a Python script that uses the Cloud Vision API for image analysis, deepening your understanding of practical applications.
Browse courses on
Python Programming
Show steps
Show steps
Show steps
- Design a Python script that integrates the Cloud Vision API for object detection or text recognition.
- Implement the script to analyze images and extract information, such as object labels or text content.
Create a Blog Post or Video Tutorial on a Course Topic
Show steps
Solidify your understanding and share your knowledge by creating a blog post or video tutorial explaining a course topic, reinforcing your comprehension and potentially assisting others.
Show steps
Show steps
Show steps
- Choose a specific topic from the course and research it thoroughly to deepen your understanding.
- Develop an outline and gather relevant resources to support your explanation.
- Create a well-written blog post or engaging video tutorial that clearly presents the topic.
Contribute to Open-Source Projects Related to Image Analysis or Natural Language Processing
Show steps
Apply your skills and contribute to the broader community by participating in open-source projects, deepening your understanding and expanding your network.
Browse courses on
Open Source
Show steps
Show steps
Show steps
- Identify open-source projects on platforms like GitHub that align with your interests in image analysis or Natural Language Processing.
- Review the project documentation and codebase, familiarizing yourself with the project goals and technical details.
- Propose and implement new features or enhancements, contributing your skills and knowledge to the project.
Career center
Learners who complete Extract, Analyze, and Translate Text from Images with the Cloud ML APIs will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and maintain machine learning models. This course may be helpful to Machine Learning Engineers who want to learn more about the mathematics and technology of artificial intelligence.
Mathematician
Mathematician
Mathematicians develop and apply mathematical theories. This course may be helpful to Mathematicians who want to learn more about the mathematics and technology of artificial intelligence.
Statistician
Statistician
Statisticians collect, analyze, and interpret data. This course may be helpful to Statisticians who want to learn more about the mathematics and technology of artificial intelligence.
Data Scientist
Data Scientist
Data Scientists apply scientific methods to extract knowledge from data. This course can be helpful to Data Scientists who want to learn more about the mathematics and technology of artificial intelligence.
Scientist
Scientist
Scientists conduct scientific research. This course may be helpful to Scientists who want to learn more about the mathematics and technology of artificial intelligence.
Data Engineer
Data Engineer
Data Engineers design, develop, and maintain data pipelines. This course may be helpful to Data Engineers who want to learn more about the mathematics and technology of artificial intelligence.
Researcher
Researcher
Researchers conduct scientific research. This course may be helpful to Researchers who want to learn more about the mathematics and technology of artificial intelligence.
Project Manager
Project Manager
Project Managers plan and execute projects. This course can be helpful to Project Managers who want to learn more about the mathematics and technology of artificial intelligence.
Software Engineer
Software Engineer
Software Engineers apply engineering principles to design, develop, and maintain software systems. This course may be helpful to Software Engineers who want to learn more about the mathematics and technology of artificial intelligence.
Engineer
Engineer
Engineers design, develop, and maintain systems. This course may be helpful to Engineers who want to learn more about the mathematics and technology of artificial intelligence.
Product Manager
Product Manager
Product Managers design, develop, and launch new products. This course may be helpful to Product Managers who want to learn more about the mathematics and technology of artificial intelligence.
Business Analyst
Business Analyst
Business Analysts use data to identify and solve business problems. This course may be helpful to Business Analysts who want to learn more about the mathematics and technology of artificial intelligence.
Data Analyst
Data Analyst
A Data Analyst uses artificial intelligence to analyze data and drive business objectives. This course helps Data Analysts to build a foundation in the mathematics and technology of artificial intelligence, with a focus on business impact.
Consultant
Consultant
Consultants provide advice and guidance to businesses. This course may be helpful to Consultants who want to learn more about the mathematics and technology of artificial intelligence.
Teacher
Teacher
Teachers educate students. This course may be helpful to Teachers who want to learn more about the mathematics and technology of artificial intelligence.
For more career information including salaries, visit:
OpenCourser.com/course/6wzu09/extract
Reading list
We've selected nine 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
Extract, Analyze, and Translate Text from Images with the Cloud ML APIs.
Save
Covers the fundamental algorithms and techniques used in computer vision, providing a comprehensive overview of the field. It valuable resource for understanding the concepts behind the Cloud Vision API.
Provides a comprehensive introduction to natural language processing, covering topics such as text classification, sentiment analysis, and machine translation. It valuable resource for understanding the concepts behind the Natural Language API.
Provides a comprehensive overview of deep learning for natural language processing, covering topics such as word embeddings, recurrent neural networks, and transformers. It valuable resource for understanding the underlying technology behind the Cloud ML APIs.
Provides a comprehensive overview of computer vision, covering topics such as image processing, feature extraction, and object recognition. It valuable resource for understanding the concepts behind the Cloud Vision API.
Provides a comprehensive overview of natural language processing, covering topics such as text classification, sentiment analysis, and machine translation. It valuable resource for understanding the concepts behind the Natural Language API.
Provides a comprehensive overview of machine translation, covering topics such as translation models, evaluation metrics, and applications. It valuable resource for understanding the concepts behind the Translation API.
Provides a comprehensive overview of deep learning for computer vision, covering topics such as image processing, feature extraction, and object recognition. It valuable resource for understanding the underlying technology behind the Cloud Vision API.
Provides a comprehensive overview of computer vision, covering topics such as image processing, feature extraction, and object recognition. It valuable resource for understanding the concepts behind the Cloud Vision API.
Save
Provides a comprehensive overview of computer vision, covering topics such as image processing, feature extraction, and object recognition. It valuable resource for understanding the concepts behind the Cloud Vision API.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/6wzu09/extract
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Effort
50 minutes
Level
Advanced
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Develops skills in Optical Character Recognition and Natural Language Processing, which are core tools for data analysis and interpretation
Taught by Google Cloud Training, who have built Google's Cloud Platform
Perfect for individuals working with unstructured data, such as images and text documents
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