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Angular Denver '19

Machine Learning in Angular with TensorFlow.js

Angular Denver 2019 | Machine Learning in Angular with TensorFlow.js | Aaron Ma

TensorFlow.js is a JavaScript library for training and deploying machine learning models in the browser. In this talk, Aaron Ma will show how to get up and running with TensorFlow in Angular 8+. You'll gain hands-on experience with machine learning and create an amazing TensorFlow.js powered app trained in your very own browser!

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What's inside

Syllabus

Machine Learning in Angular with TensorFlow.js

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Focuses on tools and technologies that are standard in industry

Is hands-on and includes interactive materials

Is multi-modal and includes a mix of media

Builds a strong foundation for beginners

Teaches current, relevant software and technology

Is taught by an instructor who is recognized for their work in TensorFlow development

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Career center

Learners who complete Angular Denver '19: Machine Learning in Angular with TensorFlow.js will develop knowledge and skills that may be useful to these careers:

Artificial Intelligence Researcher

Artificial Intelligence Researchers develop new techniques and algorithms to power machine learning models. TensorFlow.js is a library that allows you to develop and train machine learning models on a web browser. An understanding of how to use a library like TensorFlow.js on a browser can open up new avenues of research and experimentation.

See salaries and explore the career path for Artificial Intelligence Researcher

Data Analyst

A Data Analyst manipulates datasets to find correlations and assist in bringing clarity to complex situations. TensorFlow.js is a library that allows one to build and train machine learning models on a web browser, and it is much used by Data Analysts. Learning how to use TensorFlow.js to build powerful machine learning models can propel a Data Analyst to greater success in the field.

See salaries and explore the career path for Data Analyst

Machine Learning Engineer

Machine Learning Engineers develop and maintain machine learning models. A core part of this is being able to deploy these models across various platforms and environments. TensorFlow.js is a tool that allows you to deploy machine learning models on a web browser. With this skill, you can broaden your abilities as a Machine Learning Engineer.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists help companies gain insights from datasets. Machine learning is an important tool for a Data Scientist, and TensorFlow.js is a popular library for browser-based machine learning. Knowing how to implement machine learning models on a web browser is a sought-after skill for Data Scientists, and this course will teach you how to do just that.

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Computer Vision Engineer

Computer Vision Engineers develop and maintain computer vision systems. TensorFlow.js is a library that allows one to build and train machine learning models on a web browser, and it is popular for developing computer vision models. Knowing how to use TensorFlow.js to build computer vision models gives a Computer Vision Engineer more tools for success.

See salaries and explore the career path for Computer Vision Engineer

Data Engineer

Data Engineers build and maintain data pipelines for machine learning models. A key part of this is being able to understand and implement machine learning models themselves. TensorFlow.js is a library for building and training machine learning models on web browsers. This course teaches you the basics of TensorFlow.js, which provides you with a strong foundation for working with machine learning.

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Product Manager

Product Managers are responsible for the lifecycle of a product: envisioning, planning, and managing it until retirement. Having a foundational understanding of the implementation of machine learning models is important for Product Managers who work with products utilizing machine learning. This course will teach you the fundamentals of TensorFlow.js, which can help you to evaluate technical decisions and guide your team more effectively.

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Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze financial data and make investment decisions. TensorFlow.js is a library that allows one to build and train machine learning models on a web browser. Familiarity with TensorFlow.js can allow a Quantitative Analyst to utilize machine learning to bring additional insights to their work.

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Research Scientist

Research Scientists develop and test new theories and hypotheses. TensorFlow.js is a library that allows one to build and train machine learning models on a web browser. Knowing how to use TensorFlow.js can allow a Research Scientist to test their theories and hypotheses on real-world data through machine learning models.

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Software Engineer

Software Engineers are tasked with developing and maintaining applications. TensorFlow.js is an API that allows one to train machine learning models right in a web browser. Having a knowledge of TensorFlow.js can make a Software Engineer a more valuable asset to their team, especially if they work on applications that use machine learning or artificial intelligence.

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Back End Engineer

Back-End Engineers develop and maintain the server-side logic of software applications. Many applications may use machine learning as a core part of their functionality, and TensorFlow.js is a library that can be used to deploy machine learning models to a web browser. This course introduces the basics of TensorFlow.js, and can help you to implement machine learning into your work as a Back-End Engineer.

See salaries and explore the career path for Back End Engineer

Business Analyst

Business Analysts help organizations improve business processes through data analysis. Many organizations are starting to implement machine learning to aid in automating and improving processes. TensorFlow.js is a tool that can be used to deploy machine learning models to a web browser. Having a foundational understanding of how to use machine learning with TensorFlow.js can help a Business Analyst to better assist organizations in adopting and implementing machine learning.

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Front-End Engineer

Front-End Engineers develop and maintain the user interfaces of software applications. TensorFlow.js is a library that may be used to provide machine learning functionality to these applications. This course teaches you the basics of TensorFlow.js, which can help you to integrate it into your work as a Front-End Engineer.

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Consultant

Consultants aid companies in a variety of different ways. Consultants who specialize in machine learning or artificial intelligence would find this course especially valuable. TensorFlow.js is particularly useful for various applications, so familiarity with this library opens up the possibility of serving more clients.

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Project Manager

Project Managers plan and execute projects. Many projects involve machine learning, and TensorFlow.js is a library that can be used to implement machine learning models on web browsers. A basic understanding of TensorFlow.js can help you to be a more effective Project Manager.

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Time

22 hours

Level

Intermediate

Via

Pluralsight

Instructor

Angular Denver

Language

English

This course belongs to a collection called Angular Denver 2019. It's comprised of 44 courses:

Good to know

Focuses on tools and technologies that are standard in industry

Is hands-on and includes interactive materials

Is multi-modal and includes a mix of media

Builds a strong foundation for beginners

Teaches current, relevant software and technology

Is taught by an instructor who is recognized for their work in TensorFlow development

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