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Reza Salehi

Azure Cognitive Services Ink Recognizer can be used to process digital ink content. This course will teach you how to detect shapes and handwriting in your digital content using this service.

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Azure Cognitive Services Ink Recognizer can be used to process digital ink content. This course will teach you how to detect shapes and handwriting in your digital content using this service.

Digital ink technology is vastly used in note taking apps, document annotation and digital art creation. In this course, Microsoft Azure Cognitive Services: Ink Recognizer, you’ll learn to use this service to recognize shapes and handwriting in your digital content. First, you’ll explore what can be done with Ink Recognizer. Next, you’ll discover how to provision and use the Ink Recognizer REST API. Finally, you’ll learn how to integrate Ink Recognizer into your applications. When you’re finished with this course, you’ll have the skills and knowledge of Azure Cognitive Services needed to process shapes and handwriting in your digital ink content.

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What's inside

Syllabus

Course Overview
Understanding Ink Recognizer
Working with the Ink Recognizer

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Introduces learners to foundational concepts in Azure Cognitive Services Ink Recognizer, establishing a basis for further study
Provides practical instruction, including hands-on experience with the Ink Recognizer REST API, empowering learners to apply their knowledge
Guides learners through the process of integrating Ink Recognizer into their own applications, fostering practical implementation skills
Facilitates the development of skills in shape and handwriting recognition using digital ink technology, in line with industry trends

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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 Microsoft Azure Cognitive Services: Ink Recognizer with these activities:
Review fundamentals of computer graphics
Improve understanding of core concepts by refreshing memory
Browse courses on Ray Tracing
Show steps
  • Read textbook chapters on basic computer graphics topics
  • Work through online tutorials on introductory computer graphics concepts
  • Review class notes or lecture slides on fundamental computer graphics
Build a simple digital ink recognizer application using the Ink Recognizer REST API
Reinforce learning by applying concepts in a practical setting
Browse courses on Azure Cognitive Services
Show steps
  • Follow a tutorial on how to build a digital ink recognizer application using the Ink Recognizer REST API
  • Implement the steps in the tutorial to build the application
  • Test the application using sample digital ink data
Analyze digital ink data and identify patterns
Develop proficiency through repetitive exercises
Browse courses on Pattern Recognition
Show steps
  • Collect a dataset of digital ink data
  • Use data visualization tools to identify patterns and trends in the data
  • Develop algorithms or models to classify or categorize the digital ink data
Four other activities
Expand to see all activities and additional details
Show all seven activities
Design a user interface for a digital ink recognition application
Apply knowledge to create something tangible that demonstrates understanding
Browse courses on User Interface Design
Show steps
  • Sketch out ideas for the user interface
  • Create prototypes of the user interface using design tools
  • Get feedback on the design from users or experts
Develop a digital ink recognition system for a specific application
Test and apply knowledge by completing a substantial project
Browse courses on Project Development
Show steps
  • Define the requirements for the digital ink recognition system
  • Design and implement the system using appropriate technologies
  • Evaluate the performance of the system and make improvements as needed
Participate in a digital ink recognition competition
Push the limits of understanding by competing with others
Show steps
  • Find a digital ink recognition competition to participate in
  • Develop a solution to the competition problem
  • Submit the solution to the competition
Mentor other students learning about digital ink recognition
Solidify understanding by teaching others
Browse courses on Mentoring
Show steps
  • Volunteer to mentor students in a digital ink recognition course or community
  • Provide guidance and support to students on technical concepts
  • Encourage students to ask questions and seek clarification

Career center

Learners who complete Microsoft Azure Cognitive Services: Ink Recognizer will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts help companies understand data. This role involves culling data from many sources to develop an understanding of operations. With this understanding, these professionals can inform business decisions to streamline processes and improve decision making. Those in this role may use various tools to process data, such as machine learning or AI software. This course may be helpful to Data Analysts interested in using Microsoft Azure Cognitive Services Ink Recognizer to process and analyze data.
Software Designer
Software Designers create software programs. They take the ideas of how software should operate and translate them into code. This role may work on a team with other designers, engineers, and programmers to fulfill a project. Those in this role with an interest in designing software to analyze data may benefit from taking this course. This course teaches how to detect shapes and handwriting in digital content.
Database Administrator
Database Administrators ensure that databases operate at a high level. This role oversees data integrity and manages database systems. Database Administrators with an interest in improving data processing may take this course. This course teaches how to detect shapes and handwriting in digital content.
Computer Systems Analyst
Computer Systems Analysts examine systems, design solutions, and implement improvements for overall efficiency. This role involves working closely with clients and staff to determine how to best execute system improvements. Computer Systems Analysts who wish to improve their ability to process data may take this course. This course teaches how to detect shapes and handwriting in digital content.
Machine Learning Engineer
Machine Learning Engineers design and build machine learning systems. These professionals create algorithms and statistical models that allow computers to learn from data. Machine Learning Engineers may use skills taught in this course to improve the efficiency of their models.
Data Engineer
Data Engineers build and maintain systems that process large amounts of data. These systems are used to analyze data, extract insights, and improve business processes. Data Engineers may utilize the skills taught in this course to design and improve their data processing systems.
Data Scientist
Data Scientists analyze data to extract insights and patterns. These insights are used to inform business decisions and improve outcomes. Data Scientists might use the skills taught in this course to improve the efficiency of their data analysis workflows.
Software Engineer
Software Engineers design, develop, and maintain software systems. This role involves gathering requirements, designing solutions, and writing code. Software Engineers with an interest in designing software to process data may benefit from this course. This course teaches how to detect shapes and handwriting in digital content.
Information Architect
Information Architects design and organize information systems. This role involves creating taxonomies, ontologies, and other structures to make information easy to find and use. Information Architects with an interest in improving data processing may take this course. This course teaches how to detect shapes and handwriting in digital content.
Business Analyst
Business Analysts help companies understand their business needs and improve their operations. This role involves analyzing data, identifying problems, and developing solutions. Business Analysts with an interest in using data to improve business processes may take this course. This course teaches how to detect shapes and handwriting in digital content.
Data Warehouse Architect
Data Warehouse Architects design and build data warehouses. These systems store and manage large amounts of data for analysis and reporting. Data Warehouse Architects with an interest in improving data processing may take this course. This course teaches how to detect shapes and handwriting in digital content.
Technical Architect
Technical Architects design and build the infrastructure for software systems. This role involves working with other engineers to define the system architecture and ensure that it meets the business needs. Technical Architects with an interest in improving data processing may take this course. This course teaches how to detect shapes and handwriting in digital content.
Systems Architect
Systems Architects design and build complex systems. These systems may include hardware, software, and networks. Systems Architects with an interest in improving data processing may take this course. This course teaches how to detect shapes and handwriting in digital content.
Solutions Architect
Solutions Architects design and implement solutions to meet business needs. This role involves working with clients to understand their needs and develop solutions that meet those needs. Solutions Architects with an interest in improving data processing may take this course. This course teaches how to detect shapes and handwriting in digital content.
Information Technology Manager
Information Technology Managers oversee the information technology systems of an organization. This role involves planning, implementing, and managing IT systems to meet the needs of the organization. Information Technology Managers with an interest in improving data processing may take this course. This course teaches how to detect shapes and handwriting in digital content.

Reading list

We've selected 19 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 Microsoft Azure Cognitive Services: Ink Recognizer.
Covers the fundamentals of computer vision, including image formation, feature detection and matching, object recognition, and motion tracking. It provides a comprehensive overview of the field and valuable resource for students and practitioners alike.
Provides a comprehensive introduction to digital image processing, covering topics such as image enhancement, image restoration, image compression, and image recognition. It valuable resource for students and practitioners alike.
Provides a comprehensive overview of the field of ink analysis and recognition, covering both traditional and modern techniques.
Provides an introduction to machine learning techniques for computer vision, with a focus on practical applications.
Provides a comprehensive overview of deep learning, covering topics such as convolutional neural networks, recurrent neural networks, and generative models. It valuable resource for students and practitioners alike.
Provides a comprehensive overview of speech and language processing, including a chapter on handwriting recognition. It valuable resource for anyone who wants to learn more about this topic.
Will introduce some of the fundamental concepts of machine learning and pattern recognition, which would be helpful background information when using the Ink Recognizer service.
Provides additional information about Cognitive Services, the framework that contains the Ink Recognizer service.
Can assist with expanding knowledge on deep learning's use in natural language processing, which is used by the Ink Recognizer service.
Provides a comprehensive overview of neural networks and deep learning. It valuable resource for anyone who wants to learn more about these topics.
Provides a practical introduction to speech and language processing with Python, covering topics such as speech recognition, speech synthesis, and natural language understanding. It valuable resource for students and practitioners alike.
Provides a comprehensive overview of computer graphics with OpenGL, covering topics such as 3D modeling, rendering, and animation. It valuable resource for students and practitioners alike.
Provides a comprehensive overview of artificial intelligence, covering topics such as search, planning, machine learning, and natural language processing. It valuable resource for students and practitioners alike.
Provides a comprehensive overview of statistical learning, covering topics such as supervised and unsupervised learning, feature selection, and model evaluation. It valuable resource for students and practitioners alike.
Provides a practical introduction to machine learning, covering topics such as supervised and unsupervised learning, feature engineering, and model evaluation. It valuable resource for students and practitioners alike.
Provides a practical introduction to natural language processing with Python, covering topics such as part-of-speech tagging, parsing, and machine translation. It valuable resource for students and practitioners alike.

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